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I-Corps: Translation potential of a new Surface-Enhanced Raman Spectroscopy (SERS) substrate for early detection of cancer

NSF

05/15/2024

10/31/2024

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': 'rshuman@nsf.gov', 'PO_PHON': '7032922160'}

The broader impact of this I-Corps project is the development of a method to detect early stages of cancer. Cancer causes the death of more than 600,000 Americans each year. Researchers would like to develop a test to identify cancer biomarkers in blood or saliva that detects early onset of the disease as survival rate increases with early detection. Research demonstrates that Raman spectroscopy, a commonly used method to provide a structural fingerprint of molecules, can identify biomarkers of many types of cancers such as breast, colorectal, ovarian, and others. The Raman signal from cancer biomarkers is very weak and needs to be amplified to be reliable. This technology achieves this amplification using Surface Enhanced Raman Spectroscopy (SERS), which provides a substrate that may improve the signal and allow development of a test for the early detection of cancer.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a Surface Enhanced Raman Spectroscopy (SERS) substrate using nanotechnology. The substrate is composed of silver (Ag) nanowires coated with nickel (Ni). The properties and structure of the substrate have been studied using electron microscopy, quantum mechanics, and multi-physics-based calculations. The Ag-Ni nanowire substrate has shown high reliability and reproducibility and meets Food and Drug Administration (FDA) standards for clinical trials. The lack of a commercial substrate has been a roadblock to develop Raman-based cancer detection tests. If successful, this technology may allow researchers to develop routine diagnostic tests from a blood or salvia sample for the early detection of cancer.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2427869

{'FirstName': 'Miguel', 'LastName': 'Jose Yacaman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Miguel Jose Yacaman', 'EmailAddress': 'Miguel.Yacaman@nau.edu', 'NSF_ID': '000437996', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northern Arizona University', 'CityName': 'FLAGSTAFF', 'ZipCode': '86011', 'PhoneNumber': '9285230886', 'StreetAddress': '601 S KNOLES DR RM 220', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'AZ02', 'ORG_UEI_NUM': 'MXHAS3AKPRN1', 'ORG_LGL_BUS_NAME': 'NORTHERN ARIZONA UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northern Arizona University', 'CityName': 'FLAGSTAFF', 'StateCode': 'AZ', 'ZipCode': '86011', 'StreetAddress': '601 S KNOLES SHB #36 room 325', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'AZ02'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427869.xml'}

EAGER: Towards Sustainable Industry Expansion via Computing Revitalization

NSF

10/01/2024

09/30/2026

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'James Fowler', 'PO_EMAI': 'jafowler@nsf.gov', 'PO_PHON': '7032928910'}

The manufacturing industry has recently transformed into an intelligent and interconnected ecosystem, fueling many emerging services - such as connected healthcare, smart transportation, and modern manufacturing - to benefit people's daily life. As a key enabler to this new paradigm, smart computing devices (e.g., Industrial Internet of Things) leverage their computing capability and wireless connectivity to form a hierarchical service functionality, providing the ability to perform real-time data analytics, to detect anomalies, and to make predictions to improve the efficiency and quality of manufacturing. Although this paradigm is promising, environmental sustainability issues are becoming increasingly urgent, especially during industry expansion. The substantial increase of new device production and adoption inevitably leads to higher greenhouse-gas emissions, contributing to global warming, which in turn results in economic losses for industries. This project develops a framework, termed sustainable revitalization, to reduce the greenhouse-gas emissions by migrating current devices to their most suitable locations in the service hierarchy for continuing service. As such, computing devices maximize their lifespan by moving around inside a system at each device-updating stage while minimizing their environmental impact through greenhouse-gas emissions by avoiding frequent production and disposal processes during industry expansion. This project also seeks to broaden the scientific training of undergraduates and students from underrepresented groups in the field of environmental science and engineering, computation optimization, and communication, preparing them with the cross-disciplinary skills needed to succeed in the modern workforce.<br/><br/>This project introduces lifecycle sustainability into computing-system design and maintenance. By adopting an adapted approach to life-cycle assessment and by constructing new metrics for environmental sustainability as an optimization objective, this project addresses greenhouse-gas emissions during industry expansion. Specifically, this project lays a foundation by establishing a robust system boundary to comprehend the greenhouse-gas emissions of computing devices across various lifecycle stages, thus informing subsequent sustainable-revitalization efforts. To find optimal pathways for device migration, this project pioneers inventory analysis by integrating demand-based migration and compatibility-optimized computation strategies. From a system-design perspective, having these strategies within the system boundary facilitates examining the strategies' effectiveness. Based on the optimization strategies of migrated devices, this project introduces collaborative on-device learning that dynamically adapts smart devices to new scenarios while upholding environmental sustainability and addressing communication challenges through a novel physical-level parallel inclusive communication. This new methodology will help fully utilize obsolete computing and communication devices to meet environmental-sustainability demands.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/03/2024

06/03/2024

None

Grant

47.070

1

4900

4900

2427875

[{'FirstName': 'Linke', 'LastName': 'Guo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Linke Guo', 'EmailAddress': 'linkeg@clemson.edu', 'NSF_ID': '000678248', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Chao', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chao Fan', 'EmailAddress': 'cfan@clemson.edu', 'NSF_ID': '000886690', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Xiaolong', 'LastName': 'Ma', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaolong Ma', 'EmailAddress': 'xiaolom@clemson.edu', 'NSF_ID': '000901988', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'ZipCode': '296340001', 'PhoneNumber': '8646562424', 'StreetAddress': '201 SIKES HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'SC03', 'ORG_UEI_NUM': 'H2BMNX7DSKU8', 'ORG_LGL_BUS_NAME': 'CLEMSON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Clemson University', 'CityName': 'CLEMSON', 'StateCode': 'SC', 'ZipCode': '296340001', 'StreetAddress': '201 SIKES HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'SC03'}

{'Code': '242Y00', 'Text': 'Sustainability in Computing'}

2024~299994

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427875.xml'}

Conference: The 18th U.S.-Korea Forum on Nanotechnology: Sensors Related to Human Cognition and Sustainability in Semiconductor Manufacturing

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Nora Savage', 'PO_EMAI': 'nosavage@nsf.gov', 'PO_PHON': '7032927949'}

Since 2003, the Forum on Nanotechnology between the U.S. and Korea has been held annually in alternating countries, except during the COVID-19 pandemic years. This joint forum facilitates networking between the research communities and agencies of both countries, enabling each side to exchange information and to explore opportunities for research collaboration in the field of nanotechnology. This year, the forum will address sensors related to human cognition and sustainability in semiconductor manufacturing. Two keynote speakers, eight senior presenters, and eight early-career presenters from the U.S. will be invited, and a roughly equal number of Korean presenters will participate. The organizing committee strives to emphasize the diversity of the early-career participants. The primary contribution of this forum is its ability to bring together a bi-national community of expert researchers who are working on the leading edge of sensors, sustainable electronics, and semiconductor manufacturing. The outcomes of this forum will lead to tangible milestones and vigorous research collaboration among researchers in both countries. Sustainability in semiconductor manufacturing will generate great economic and social impact in the U.S. Forum proceedings and findings for 2024 and previous events are available on Carnegie Mellon’s website.<br/><br/>Entering the fourth industrial revolution, which is characterized by a fusion of technologies that blur the lines between the physical, digital, and biological spheres, the rapid increase in data processed and stored requires emerging technologies related to human cognition. As a continuing effort from the fourteenth forum, sensors including wearables for human interface will be examined. Semiconductor technology is the most important thrust area in economic development, defense, and security for nations during the upcoming decade. To promote a paradigm shift for next-generation semiconductors, cost and performance gains, including advanced packing processes, in the continued pursuit of Moore’s law in the future will be examined. As chip sizes continue to decrease, novel environmental, health, and safety solutions should be reexamined. Developing novel devices using nanotechnology for the evaluation of chemistry for materials of high concern and environmental impacts during current and future semiconductor fabrication will be discussed. In semiconductor manufacturing, cost-effective processes using nanotechnology are needed to assure that wastewater effluents and air emissions have minimal environmental impact. Significant amounts of ultra-pure water and energy are required in the semiconductor manufacturing processes; thus, novel reduction, reuse, and recycling techniques for water in manufacturing and chemical mechanical planarization will be discussed.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.041

1

4900

4900

2427876

[{'FirstName': 'Bruno', 'LastName': 'Azeredo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bruno Azeredo', 'EmailAddress': 'Bruno.Azeredo@asu.edu', 'NSF_ID': '000799024', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ahmed', 'LastName': 'Busnaina', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ahmed A Busnaina', 'EmailAddress': 'busnaina@coe.neu.edu', 'NSF_ID': '000365221', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Myung', 'LastName': 'Jhon', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Myung S Jhon', 'EmailAddress': 'mj3a@andrew.cmu.edu', 'NSF_ID': '000424524', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Elias', 'LastName': 'Towe', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elias Towe', 'EmailAddress': 'towe@cmu.edu', 'NSF_ID': '000090761', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'In Hee', 'LastName': 'Lee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'In Hee Lee', 'EmailAddress': 'inhee.lee@pitt.edu', 'NSF_ID': '000781577', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Carnegie-Mellon University', 'CityName': 'PITTSBURGH', 'ZipCode': '152133815', 'PhoneNumber': '4122688746', 'StreetAddress': '5000 FORBES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'U3NKNFLNQ613', 'ORG_LGL_BUS_NAME': 'CARNEGIE MELLON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NKNFLNQ613'}

{'Name': 'Carnegie Mellon University', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': '5000 FORBES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

[{'Code': '117900', 'Text': 'Nanoscale Interactions Program'}, {'Code': '768100', 'Text': 'ENG NNI Special Studies'}]

2024~49740

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427876.xml'}

FW-HTF-P: Human-Agent Teaming for the Future of Work in Aircraft Manufacturing

NSF

10/01/2023

10/31/2024

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Jordan Berg', 'PO_EMAI': 'jberg@nsf.gov', 'PO_PHON': '7032925365'}

The vision of this Future of Work at the Human-Technology Frontier: Core Research planning project is to bring the benefits of a digital workspace to labor-intensive tasks in the aerospace industry. Human-agent teaming presents substantial challenges that are not present in all-human or all-digital workspaces. The research will build upon results in natural-language processing, human-robot collaboration, artificial intelligence (AI), control engineering, data analytics, statistics, and community education to establish the feasibility of an innovative human-agent teaming framework for aircraft manufacturing. The goal is a comprehensive and integrated environment in which human workers and managers, robots and AIs, will cooperatively communicate, set goals, plan tasks, make decisions, and solve problems. The project will address challenges in quality control, risk mitigation, and workforce management via support for worker teaming, data analytics, visualization, verification, and communication. In this setting, process automation, AI, and robotics will free human workers to concentrate on high-value and creative tasks. Benefits to workers and employers include lightened work intensity, improved quality of manufacturing work, and minimization of safety risks. The research results will improve the productivity and competitiveness of the aircraft manufacturing industry. By deemphasizing specific physical requirements, the project could create new job opportunities and increase employment equity, accessibility, and inclusion.<br/> <br/>The project addresses the technical and managerial barriers obstructing the integration of human workers into the future digital workspace, specifically in the context of aerospace manufacturing. The research will cultivate the theory of human-agent teaming in manufacturing by designing a holistic framework of natural-language communication, visual informatics, physical interaction and augmentation, and mutual understanding. The research will also advance knowledge by addressing the challenges in work management and analytics derived from future manufacturing work. Specifically, this project 1) examines the feasibility of a human-agent teaming framework that establishes mental and physical bindings for digital workers and human workers to collaborate efficiently and safely in the context of aerospace manufacturing; 2) bridges the knowledge gap in workforce management, quality control, and business modeling for future manufacturing industry, founded on a hybrid workforce through the implementation of integrated workforce management; and 3) conducts surveys, collects data, and holds workshops to gather information about the critical worker and managerial skills and training required by the new work paradigm.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2427895

{'FirstName': 'Hongsheng', 'LastName': 'He', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hongsheng He', 'EmailAddress': 'hongsheng.he@ua.edu', 'NSF_ID': '000644189', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Alabama Tuscaloosa', 'CityName': 'TUSCALOOSA', 'ZipCode': '354012029', 'PhoneNumber': '2053485152', 'StreetAddress': '801 UNIVERSITY BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AL07', 'ORG_UEI_NUM': 'RCNJEHZ83EV6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ALABAMA', 'ORG_PRNT_UEI_NUM': 'TWJWHYEM8T63'}

{'Name': 'University of Alabama Tuscaloosa', 'CityName': 'TUSCALOOSA', 'StateCode': 'AL', 'ZipCode': '354870001', 'StreetAddress': '301 ROSE ADMIN BLDG', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AL07'}

{'Code': '103Y00', 'Text': 'FW-HTF Futr Wrk Hum-Tech Frntr'}

2021~42375

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427895.xml'}

EAGER: Understanding Electrocatalytic Aqueous Alkali-Metal-Hydroxide-Promoted Defluorination of PFAS

NSF

07/01/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Robert McCabe', 'PO_EMAI': 'rmccabe@nsf.gov', 'PO_PHON': '7032924826'}

This EArly-concept Grant for Exploratory Research (EAGER) project focuses on new fundamental understanding and early technology development related to energy- and cost-saving defluorination of per- and polyfluoroalkyl (PFAS) chemicals. PFAS are harmful to human health and challenging to break down into stable, benign substances. Emerging efforts to remediate PFAS from water resources have been hampered by high cost and high energy requirements. The project utilizes sustainable solar-assisted electrocatalysis enabled by non-precious materials and highly-basic aqueous electrolytes to achieve complete defluorination of PFAS. The insights gained from this EAGER project will provide fundamentally new strategies for designing electrocatalytic anodes and novel electrolytes, thereby advancing technologies for energy- and cost-saving aqueous defluorination of PFAS. In addition to the fundamental mechanistic outcomes, the project will provide support to the investigator’s contributions to electrocatalysis engineering, and integration of the research with undergraduate education and outreach to high-school students.<br/><br/>The project aims to transform aqueous PFAS remediation by providing a fundamentally new quantitative understanding of PFAS defluorination electrocatalysis, while enhancing anode stability, to enable wide-spread use of cost- and energy-effective technology developed in the investigator’s laboratory. The project builds on the investigator’s experience in using pulsed laser liquid-phase synthesis to prepare surfactant-free OH-terminated [NiFe]-(OH)2 nanocatalysts, to ensure well-defined surface conditions in the catalyst microenvironment. Use of hydrophilic carbon fiber paper as the electrode support provides a high anode surface area, to facilitate PFAS adsorption, without restricting mass transport. The project will identify how high concentrations of alkali metal ions, especially Li+, and high basicity aid PFAS defluorination via mechanistic studies in aqueous LiOH electrolytes with systematically varied Li+ or OH- concentrations, while keeping the counter ion concentration constant. In addition, PFAS with different pKa’s (e.g., PFOS, perfluorooctanoic acid, perfluorooctanephosphonate, perfluoroheptan-1-ol, and GenX) - controlled by their sulfonate, carboxylate, phosphonate, and alkoxide headgroups, respectively – will be evaluated with respect to their adsorption properties at the anode and related defluorination efficiency. To enhance anode stability, new approaches will be developed to immobilize surfactant-free [NiFe]-(OH)2 nanocatalysts on hydrophilic carbon fiber paper by maximizing the catalyst–support contact area via sonication and pulsed laser liquid-phase grafting. Taken together, the knowledge gained from the EAGER project will provide fundamentally new strategies for designing anodes and electrolytes, advancing technologies for energy- and cost-saving aqueous defluorination of PFAS.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.041

1

4900

4900

2427921

{'FirstName': 'Astrid', 'LastName': 'Mueller', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Astrid M Mueller', 'EmailAddress': 'astrid.mueller@rochester.edu', 'NSF_ID': '000796123', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'ZipCode': '146113847', 'PhoneNumber': '5852754031', 'StreetAddress': '910 GENESEE ST', 'StreetAddress2': 'STE 200', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'NY25', 'ORG_UEI_NUM': 'F27KDXZMF9Y8', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ROCHESTER', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146113847', 'StreetAddress': '910 GENESEE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

{'Code': '140100', 'Text': 'Catalysis'}

2024~299987

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427921.xml'}

Conference: International symposium on crystalline organic metals, superconductors, and magnets

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Eugenia Kharlampieva', 'PO_EMAI': 'ekharlam@nsf.gov', 'PO_PHON': '7032924520'}

Non-technical Description: This award funds the international symposium on crystalline organic metals, superconductors, and magnets (ISCOM) to be held from September 22 - 27, 2024, in Anchorage, Alaska (USA). This workshop aims to advance the fundamental understanding of molecular and molecule-based materials, inspire new collaborations, and provide opportunities for the education and growth of a diverse group of scientists. A particular emphasis is on the role of predictive theory in developing the properties of molecular and molecule-based materials in the Materials Genome Initiative spirit. Traditionally, the ISCOM workshop rotates between Europe, Asia, and North America, and it has not been in the United States since 2005. One of the workshop tasks is to rebuild the community after the COVID era by focusing on contemporary research topics and placing a priority on the involvement of junior scientists as speakers. <br/><br/>Technical Description: The workshop focuses on molecular and molecule-based materials, including the interface between theory and experiment. This event intends to provide an opportunity to show off scientific accomplishments and create new partnerships and international collaborations to leverage complementary expertise in the field. A diverse group of US and international speakers is arranged for student tutorials and technical sessions. Presented topics include but not be limited to Superconductivity, Non-equilibrium phenomena, Magnetic and conducting metal-organic frameworks, Hydrogen and halogen bonding, Molecular ferroelectrics and multiferroics, Self-assembled heterostructures, Chemistry of new molecular materials, Light-induced properties, Spin liquids and frustration, glassy charge and spin states, Basic science for molecular devices, Spintronics, Quantum information, and Databases and machine learning. DMREF support is requested to partially cover costs for the conference venue to help reduce the registration fees.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.049

1

4900

4900

2427937

{'FirstName': 'Janice', 'LastName': 'Musfeldt', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Janice L Musfeldt', 'EmailAddress': 'musfeldt@utk.edu', 'NSF_ID': '000388630', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'ZipCode': '379960001', 'PhoneNumber': '8659743466', 'StreetAddress': '201 ANDY HOLT TOWER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'TN02', 'ORG_UEI_NUM': 'FN2YCS2YAUW3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TENNESSEE', 'ORG_PRNT_UEI_NUM': 'LXG4F9K8YZK5'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'StateCode': 'TN', 'ZipCode': '379960001', 'StreetAddress': '201 ANDY HOLT TOWER', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'TN02'}

{'Code': '829200', 'Text': 'DMREF'}

2024~12600

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427937.xml'}

2024 Waterman Award

NSF

07/01/2024

06/30/2029

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Jordan Berg', 'PO_EMAI': 'jberg@nsf.gov', 'PO_PHON': '7032925365'}

The US National Science Foundation (NSF) has named Dr. Rebecca Kramer-Bottiglio as one of three recipients of the 2024 Alan T. Waterman Award, the agency's highest honor. This award, named for the agency's first director, recognizes outstanding young researchers in any field of science or engineering supported by NSF. In addition to a medal, awardees receive a grant of $1 million over five years to support scientific research and advanced study.<br/><br/>Dr. Kramer-Bottiglio is the John J. Lee Associate Professor of Mechanical Engineering & Materials Science at Yale University. She is recognized for groundbreaking contributions to robotics, particularly in advancing the vision and realization of machines that can evolve new capabilities in response to new tasks or a changing environment.<br/><br/>Kramer-Bottiglio's research blends materials science, robotics, artificial intelligence, biology, and art. She is recognized for her invention of robotic skins, which are thin, skin-like robots that can wrap around and manipulate a passive deformable core, allowing the system to respond to new task demands with morphological adaptations. She also created an amphibious turtle-inspired robot with morphing limbs that transition from flippers to legs, allowing efficient movement both in water and on land. Using this morphing robot platform, she proved that morphological adaptation is an energetically favorable strategy for mobile robots encountering multiple environments. Her achievements range from innovations at the level of individual components, such as distributed sensors, phase-changing actuators, and stretchable electronics, to new algorithms for embodied intelligence to discover effective behavioral control policies for mutable body morphologies.<br/><br/>Dr. Kramer-Bottiglio has received multiple awards including the NSF Career Award, the NASA Early Career Award, the AFOSR Young Investigator Award, and the ONR Young Investigator Award. She was named to the Forbes "30 under 30" list for her approach to manufacturing liquid metals through printable emulsions and scalable sintering methods. Her development of robotic skins that turn inanimate objects into multifunctional robots was recognized with the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government on early-career scientists and engineers. She was named a National Academy of Engineering Gilbreth Lecturer in 2022 and a National Academy of Science Kavli Fellow in 2023. She also serves on the Technology, Innovation & Engineering Committee of the NASA Advisory Council.<br/><br/>The Alan T. Waterman Award will enable Dr. Kramer-Bottiglio to pursue new interdisciplinary and high-risk research, and to continue to reimagine conventional ideas of what a robot -- or a roboticist -- can be.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/21/2024

06/21/2024

None

Grant

47.041, 47.083

1

4900

4900

2427947

{'FirstName': 'Rebecca', 'LastName': 'Kramer-Bottiglio', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca Kramer-Bottiglio', 'EmailAddress': 'rebecca.kramer@yale.edu', 'NSF_ID': '000630531', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'ZipCode': '065113572', 'PhoneNumber': '2037854689', 'StreetAddress': '150 MUNSON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': 'FL6GV84CKN57', 'ORG_LGL_BUS_NAME': 'YALE UNIV', 'ORG_PRNT_UEI_NUM': 'FL6GV84CKN57'}

{'Name': 'Yale University', 'CityName': None, 'StateCode': 'CT', 'ZipCode': '065110001', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CT03'}

{'Code': '049Y00', 'Text': 'ATW-Alan T Waterman Award'}

2024~1000000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2427947.xml'}

NSF-NFRF: Reimagining Food Systems for Climate Change Adaptation and Mitigation

NSF

06/01/2024

05/31/2027

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Allen Pope', 'PO_EMAI': 'apope@nsf.gov', 'PO_PHON': '7032928030'}

Inspired by Indigenous-led approaches to food systems, this project will explore the degree to which Indigenous-led concepts and approaches resonate and affirm the perspectives of all the systematically disadvantaged people who participate in the Reimagining Food Systems project. The project’s collaborative methodology will generate scientific evidence to advocate for real-world solutions to food and nutrition insecurity made worse by climate change. Rooted in community assessment and engagement, this project aims to establish best practices of growing wild rice for the goal of mitigating climate change. The project’s broad scope is to tackle the immense problem food systems resulting in the loss of traditional foods and medicines that have nutritional, economic, and cultural significance.<br/> <br/>The project will generate scientific evidence using Zizania palustris, aka Northern Wild Rice (NWR), as a model for these types of food systems, which could be applied in other regional contexts or field crops of cultural and nutritional importance. Using a whole-ecosystem approach, the environmental, physiological, and genetic characteristics of present-day Z. palustris populations and their ecosystem counterparts will be assessed to provide a foundation for future production as well as conservation efforts. This research will also explore a new avenue of seed storage using a hydrogel casing, which could allow for longer-term storage of seed and improve the health of seedlings. This work will contribute to the project’s goal to provide climate-vulnerable populations across diverse regional contexts with modeled evidence for self-designed, human rights-based food system interventions and a pathway to implement them. Mitigation interventions will be mapped to specific vulnerabilities (e.g., water, energy, nutrient flows) and adapted based on community or demographic priorities in order to prioritize local needs and goals.<br/><br/>This is a project jointly funded by the U.S. National Science Foundation and funding agencies from Canada, Germany, Norway, South Africa, and the United Kingdom via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition. This Competition allowed a single joint international proposal to be submitted and peer-reviewed by Canada. Upon successful joint determination of an award recommendation, each agency funds the proportion of the budget that supports scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/31/2024

05/31/2024

None

Grant

47.079

1

4900

4900

2428005

{'FirstName': 'Jennifer', 'LastName': 'Kimball', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jennifer Kimball', 'EmailAddress': 'jkimball@umn.edu', 'NSF_ID': '000811818', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Minnesota-Twin Cities', 'CityName': 'Saint Paul', 'StateCode': 'MN', 'ZipCode': '551086024', 'StreetAddress': '1991 Upper Buford Circle', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MN04'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~627125

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428005.xml'}

Conference Travel: Oregon Programming Languages Summer School 2024: Types, Semantics, and Applications at Boston University

NSF

06/01/2024

02/28/2025

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Anindya Banerjee', 'PO_EMAI': 'abanerje@nsf.gov', 'PO_PHON': '7032927885'}

This award provides student travel for the 2024 Oregon Programming Languages Summer School (OPLSS) to be held at Boston University. This summer school provides an important and valuable educational opportunity for students to study foundational topics related to programming languages and verification. The focus of this year's school is "Types, Semantics, and Applications". The significance and importance of the summer school include: instruction on how to build and reason about reliability and correctness of computing systems; building international community and cooperation in foundational research areas; and enhancing education of US students, including individuals from underrepresented groups, by exposure to and interaction with leading-edge research and researchers. By supporting US-based students, the school will thus train the next generation of researchers and practitioners in both industry and academia.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/24/2024

05/24/2024

None

Grant

47.070

1

4900

4900

2428024

{'FirstName': 'Marco', 'LastName': 'Gaboardi', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marco G Gaboardi', 'EmailAddress': 'gaboardi@bu.edu', 'NSF_ID': '000702904', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'ZipCode': '022151703', 'PhoneNumber': '6173534365', 'StreetAddress': '1 SILBER WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'THL6A6JLE1S7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '022151703', 'StreetAddress': '1 SILBER WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '779800', 'Text': 'Software & Hardware Foundation'}

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428024.xml'}

I-Corps: Translation Potential of a Personalized Car-sharing System for Smart Urban Mobility

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of a car-sharing system that not only fosters a culture of communal resource utilization but also addresses key urban challenges. By reducing the number of privately owned vehicles, this initiative can: 1) alleviate parking demands in densely populated areas, freeing up valuable space for alternative uses, 2) mitigate traffic congestion and pollution emissions, and 3) enhance access to affordable and reliable transportation for low-income and underserved communities. Collectively, the system will foster economic empowerment and social inclusion, as individuals can engage in activities that enrich their quality of life. This solution targets customer segments that find vehicle insurance, maintenance, and other ownership expenses burdensome. By paying only for usage time in a shared ownership model, users could reduce transportation costs by up to 65% compared to full ownership. Unlike classic car-sharing platforms, this technology can analyze users’ travel behavior, predict and suggest trips, and maximize vehicle availability. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an innovative approach in using travel behavior data and predictive artificial intelligence (AI) algorithms for optimizing shared mobility systems. By leveraging these technologies, the commercialized product aims to disrupt the way individual travel patterns are analyzed, predicted, and utilized, leading to more efficient and reliable car-sharing services. Particularly, machine learning algorithms are utilized to collect, analyze, and cluster travel patterns, allowing for a deeper understanding of individual travel needs and predictable future trips. Furthermore, optimization algorithms are developed to match users with complimentary travel needs, maximizing system utilization and ultimately enhancing the reliability and quality of services while reducing the cost of car-sharing. By combining these cutting-edge methodologies and applying them in the context of shared mobility systems, the project offers practical solutions to improve efficiency and address drawbacks of existing mobility services.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.084

1

4900

4900

2428029

{'FirstName': 'Alireza', 'LastName': 'Khani', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alireza Khani', 'EmailAddress': 'akhani@umn.edu', 'NSF_ID': '000682996', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'ZipCode': '554552009', 'PhoneNumber': '6126245599', 'StreetAddress': '200 OAK ST SE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Minnesota', 'StateCode': 'MN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MN05', 'ORG_UEI_NUM': 'KABJZBBJ4B54', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MINNESOTA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'StateCode': 'MN', 'ZipCode': '554550233', 'StreetAddress': '500 Pillsbury Drive SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428029.xml'}

CAREER: Resolving Uncertainty Visualization Reasoning Errors with Mental Model Design and Training

NSF

12/01/2023

05/31/2028

{'Value': 'Continuing Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Dan Cosley', 'PO_EMAI': 'dcosley@nsf.gov', 'PO_PHON': '7032928832'}

People worldwide use data visualizations that show forecasts of future events to decide how to respond to impending hazards. For example, television news meteorologists often use visualizations of a hurricane's forecasted path to inform the public about an approaching storm. Unfortunately, a large body of research demonstrates that people misinterpret the most common methods for visualizing uncertainty in forecasts such as these. This project’s goal is to learn more about why people have difficulty using forecast visualizations and how to create more effective ones. One key outcome of the project will be a theory of uncertainty visualization literacy that will identify the skills needed to effectively use visualized uncertainty and provide cognitively informed rules for new visualization designs. This work will develop more effective methods to convey forecast uncertainty, along with uncertainty literacy training that will support the public in making informed decisions in response to natural disasters and public health crises.<br/><br/>The research plan includes a series of empirical studies to test competing hypotheses, including a novel theory centered around integrating users' mental models into visualization design and training. The new hypothesis predicts that uncertainty visualization reasoning errors result from discrepancies between how people conceptualize a forecast (a priori schemas) and how the visualization presents the data (visualization-driven schemas). The first phase of this work will create tools to reveal a priori schemas and visualization-driven schemas using previously established cognitive methods for evaluating schemas. These methods include analysis of participants' drawings, eye tracking, and memory tests. In the second phase, the team will develop a measurement tool to determine the relative distance between the two schemas, using a mapping agreement unit based on methods developed in human factors, then use that tool to empirically test the schema-based theory compared to alternative explanations for reasoning errors when using uncertainty visualizations. In the third phase, the team will use the winning approaches to develop visualization training and new visualization designs of hurricane path forecasts and COVID-19 morbidity projections as testbeds.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/20/2024

05/20/2024

None

Grant

47.070

1

4900

4900

2428149

{'FirstName': 'Lace', 'LastName': 'Padilla', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lace M Padilla', 'EmailAddress': 'l.padilla@northeastern.edu', 'NSF_ID': '000757269', 'StartDate': '05/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}

2023~86508

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428149.xml'}

RAPID: Does life-long acclimatization to temperature variability promote coral climate resilience?

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '06040300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Jayne Gardiner', 'PO_EMAI': 'jgardine@nsf.gov', 'PO_PHON': '7032924828'}

Coral reefs are in serious danger, with relentless ocean warming currently considered the greatest threat to reef survival. Sustained temperatures just 1°C above a coral’s typical summer maximum can lead to coral bleaching – the breakdown of symbiosis between the coral and its endosymbiotic algal partner. Coral bleaching can often lead to coral death, and marine heatwaves causing mass coral bleaching have increased from a single mild event in the last century to as many as five per decade in modern times. Remarkably, thermally variable habitats provide a glimmer of hope that heatwave-resilient coral populations may exist, as exposure to high daily temperature variability can ‘prime’ reef-building corals to better withstand heat stress. This project investigates the effects of the most extreme marine heatwave to occur on the southern Great Barrier Reef to understand whether the elevated coral bleaching thresholds due to priming equate to coral community resilience against bleaching during a heatwave. The work enhances our understanding of how priming influences coral responses to heat stress, the ecological relevance of current priming benefits in a warming ocean, and the physiological properties of corals that may promote heat tolerance. Broader impacts of this project include research support and training for several early career scientists as well as informing local, regional, and global action from stakeholders in making conservation and management decisions, particularly surrounding ecosystem intervention and restoration. For the 500 million people who rely on coral reefs for food, tourism, and coastal protection, a better understanding of how diverse coral communities develop thermal tolerance and withstand the increasing threat of marine heatwaves supports more effective conservation and management of coral reef ecosystems in a changing climate. <br/><br/>It has become increasingly important to identify heat-tolerant coral populations capable of surviving intensifying marine heatwaves. This project tests the hypothesis that life-long exposure to daily temperature fluctuations improve the ability of corals to cope with the additional heat stress associated with severe marine heatwaves. This research advances understanding of the priming exposure (e.g., magnitude of diel thermal variability) most beneficial for bleaching resistance and survival and the physiological properties that promote this resilience across biological scales. Specifically, this project: (i) compares coral community bleaching resilience (i.e. prevalence and severity) during this heatwave with a decade of seawater temperature, coral demography, species composition, and benthic cover data, and (ii) compares the gene expression and physiology of three genera of corals (Acropora, Pocillopora, and Porites) across six sites with different maximum diel temperature fluctuations (2.4–7.7°C/day). This research advances understanding of the mechanisms underlying coral community resilience to heat stress and enables more effective conservation and management of coral reef ecosystems during the extreme heatwaves accompanying changing climate.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/30/2024

04/30/2024

None

Grant

47.050

1

4900

4900

2428217

{'FirstName': 'Katie', 'LastName': 'Barott', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katie L Barott', 'EmailAddress': 'kbarott@sas.upenn.edu', 'NSF_ID': '000611647', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046018', 'StreetAddress': '3740 Hamilton Walk', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '165000', 'Text': 'BIOLOGICAL OCEANOGRAPHY'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428217.xml'}

Travel Support for 2024 Institute of Industrial and Systems Engineers (IISE) Annual Conference and Expo; Montreal, Canada; 18-21 May 2024

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Janis Terpenny', 'PO_EMAI': 'jterpenn@nsf.gov', 'PO_PHON': '7032922487'}

This grant provides support for students to participate in the 2024 Institute of Industrial and Systems Engineers (IISE) Annual Conference and Expo to be held 18-21 May 2024, in Montreal, Canada. The IISE Conference and Expo is a unique venue for advancing discovery and understanding systems-level thinking in manufacturing. The 2024 IISE Annual Conference offers 1120 oral research presentations on topics across the Industrial and Systems Engineering research spectrum. Of those, the manufacturing systems’ most closely related divisions, Manufacturing & Design and Quality Control and Reliability Engineering, offer 195 oral presentations and access to 80 accepted papers for publication in the conference proceedings. These presentations cover state-of-the-art research in manufacturing topics such as Additive and Hybrid Manufacturing, Digital Manufacturing and Industry 4.0, Machine Learning and Artificial Intelligence in Manufacturing, Bioprinting and Healthcare Manufacturing, and Manufacturing Cybersecurity. The conference’s location in Montreal presents a barrier, as some students will not have sufficient funds from their institutions or advisors to attend. By reducing the financial barrier for attending the conference, this award will help more students to benefit from attending the conference, helping to make the conference more accessible to a more diverse range of students. The award will support the recruitment and education of graduate and undergraduate students to engage in manufacturing systems integration research, contributing directly to broadening participation, training, and strengthening the U.S. manufacturing workforce development. <br/><br/>This grant will support students' conference registration and travel costs with the goal of promoting student participation at the conference, especially among students from groups often underrepresented in engineering. The selection process of the awardees will prioritize students who do not otherwise have sufficient funds from other sources (e.g., advisor, department, other travel awards) to attend the conference. Through this award, a special professional development plan will be developed for students to ensure they benefit from their participation in the conference. The main objectives of this plan are to: 1) expose more students as future workforce for Industrial and Manufacturing Engineering, 2) support researchers to learn more about funding opportunities in this field, 3) support students as future faculty through networking and facilitating new collaborations, 4) expand participation in IISE to include a broader audience, and 5) promote diversity and inclusion in manufacturing and design.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428232

[{'FirstName': 'Hantang', 'LastName': 'Qin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hantang Qin', 'EmailAddress': 'hqin52@wisc.edu', 'NSF_ID': '000766801', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mohammed', 'LastName': 'Shafae', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mohammed Shafae', 'EmailAddress': 'shafae1@email.arizona.edu', 'NSF_ID': '000800921', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Abishek', 'LastName': 'Balsamy Kamaraj', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Abishek Balsamy Kamaraj', 'EmailAddress': 'balsamya@gvsu.edu', 'NSF_ID': '000817796', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Hannah', 'LastName': 'Budinoff', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hannah Budinoff', 'EmailAddress': 'hdb@email.arizona.edu', 'NSF_ID': '000837370', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'ZipCode': '85721', 'PhoneNumber': '5206266000', 'StreetAddress': '845 N PARK AVE RM 538', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AZ07', 'ORG_UEI_NUM': 'ED44Y3W6P7B9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARIZONA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Arizona', 'CityName': 'TUCSON', 'StateCode': 'AZ', 'ZipCode': '85721', 'StreetAddress': '1127 E. James E. Rogers Way', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}

{'Code': '229Y00', 'Text': 'MSI-Manufacturing Systms Integ'}

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428232.xml'}

IRES Track 1: US-Japan Collaborative Research and Education Effort for Synthesis and Applications of Functional Nanomaterials

NSF

12/15/2023

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Kristin Kuyuk', 'PO_EMAI': 'kkuyuk@nsf.gov', 'PO_PHON': '7032924904'}

International research collaboration and globally engaged workforce development are essential to tackle the complex challenges of nanoscience and nanotechnology. The goal of this project is to provide US student participants with a global perspective and opportunities for professional growth through international collaborative research training, networking and mentoring in the field of functional nanomaterials. This project will provide high quality educational and research experiences for 6 graduate and undergraduate students annually at Florida International University (FIU) through active research participation in collaboration with Kochi University of Technology (KUT) in Japan. Each student will spend 10 weeks in summer to work in a KUT research group. The project will impact total of 18 U.S. student participants, especially underrepresented minority students, with a global perspective and research opportunities for professional growth through international cooperative research training in nanoscience and nanotechnology. It will contribute to development of a diverse and globally engaged workforce with high quality research skills. The project will also help broaden the participation and impact the recruitment and retention of students from underrepresented groups through a series of well-designed and structured recruitment, selection, pre-departure, post-travel, research training and professional development activities. The participating students’ feedback and evaluation will provide guidelines for effective involvement of the faculty and students in international research collaboration and workforce development. <br/><br/>Functional nanomaterials have been attracting much interest because of their unprecedented chemical and physical properties as well as potential applications. In the last twenty years, there is rapid development on synthesis of functional nanomaterials and control of their specific properties which enable unique applications of nanomaterials in nanoelectronics, energy, environmental, and biomedical applications. In parallel to the materials synthesis and devices development, various characterization tools such as high-resolution transmission electron microscopy, X-ray photoelectron spectroscopy (XPS), scanning probe microscopy, surface-enhanced Raman spectroscopy, confocal microscope have allowed us to explore the fundamental studies on the origin of the physiochemical properties of the functional nanomaterials. However, there are several key challenges need to be addressed before the nanomaterials can reach the full potential in the practical applications. This project will address some of the critical need in nanomaterials research field in an interdisciplinary and international collaboration effort. The structure-performance relationship between the nanomaterials and device applications will be studied and established. The project will enable better control of crystallinity and surface functionality of functional nanomaterials, better understanding the origin of the physiochemical properties, and could further enable advanced electronic, photonic, electrochemical, and sensing devices. The knowledge that will result from this project is critically needed for breakthroughs required for the synthesis, characterization, and application of nanomaterials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/17/2024

04/17/2024

None

Grant

47.079

1

4900

4900

2428284

{'FirstName': 'Chunlei', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chunlei Wang', 'EmailAddress': 'wangc@miami.edu', 'NSF_ID': '000487408', 'StartDate': '04/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'ZipCode': '331462919', 'PhoneNumber': '3052843924', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_ORG': 'FL27', 'ORG_UEI_NUM': 'RQMFJGDTQ5V3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MIAMI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'StateCode': 'FL', 'ZipCode': '331462919', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_PERF': 'FL27'}

{'Code': '772700', 'Text': 'IRES Track I: IRES Sites (IS)'}

2021~105773

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428284.xml'}

Travel: NSF Student Travel Grant for the 2024 Consortium for the Science of Sociotechnical Systems Summer Research Institute (CSST 2024)

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Dan Cosley', 'PO_EMAI': 'dcosley@nsf.gov', 'PO_PHON': '7032928832'}

The researchers, data scientists, and designers who will solve humanity's most difficult problems need training in interdisciplinary thinking and boundary spanning. For example, finding solutions to climate change requires understanding the economics of energy production systems, the possibilities of emerging technologies, and methods for building social and political acceptance. Improving cybersecurity and privacy requires deep technical knowledge of encryption and trust models, as well as philosophical and anthropological understandings of values like safety and autonomy. All of these problems are fundamentally sociotechnical, demanding both social and technical knowledge. However, researchers who span boundaries too often are trained at the margins of their fields. Trans-disciplinary researchers infrequently find models of success, mentorship, or support in their home institutions and fields. Without such support, interdisciplinary efforts cannot be expected to thrive. The Consortium for the Science of Sociotechnical Systems Summer Research Institute provides this support by bringing together senior Ph.D. students, post-docs, industry researchers, and early career faculty with experienced boundary-spanning researchers, providing a critical intellectual and professional support system that enables boundary-spanning researchers to succeed.<br/><br/>This award will fund approximately 10 student participants for the 2024 version of the institute, to be held in Laguna Beach, CA, from June 17-21. The central function of the yearly summer research institute is to sustain and develop a densely connected research community of scholars. An initial cohort of approximately 10 mentors are recruited each fall, with additional mentors recruited as needed to support the particular needs of mentees in the spring. The call for participants is released in early spring each year. Approximately 30 participants (senior Ph.D. students, post-docs, industry researchers, and early career faculty) are chosen by a review committee comprised of mentors, organizers, and other senior reviewers as necessary to conduct a well-informed review of the submissions; these reviewers will make their decisions based on materials submitted by applicants in response to the Call for Participation. Disciplinary, methodological, institutional, topical, and personal diversity will all be considered in final acceptance decisions. Participants will be invited to join informal social activities outside of the institute's formal sessions and participate in a Slack workspace intended to support cohort and community beyond the conclusion of the in-person event.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.070

1

4900

4900

2428381

[{'FirstName': 'Melissa', 'LastName': 'Mazmanian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa Mazmanian', 'EmailAddress': 'mmazmani@uci.edu', 'NSF_ID': '000544816', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Madhu', 'LastName': 'Reddy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Madhu Reddy', 'EmailAddress': 'mcreddy@uci.edu', 'NSF_ID': '000875193', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'ZipCode': '926970001', 'PhoneNumber': '9498247295', 'StreetAddress': '160 ALDRICH HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_ORG': 'CA47', 'ORG_UEI_NUM': 'MJC5FCYQTPE6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA IRVINE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'StateCode': 'CA', 'ZipCode': '926973425', 'StreetAddress': '5086 Bren Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_PERF': 'CA47'}

{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428381.xml'}

Conference: Access to Science and Scholarship: A workshop on establishing a robust and sustainable research agenda for the future of open scholarly communication

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}

{'SignBlockName': 'Mary Feeney', 'PO_EMAI': 'mfeeney@nsf.gov', 'PO_PHON': '7032927197'}

The health of our national research enterprise is closely tied to the effectiveness of the scientific publishing ecosystem, which represents the primary way knowledge is broadcast, quality is assured, and reputations are established. The open science movement is driving change in this ecosystem, yet many in the research community remain unaware of the value and implications of open science. This workshop affords the academic community and its funders an opportunity to develop an evidence-driven approach to promote increased access to research outputs and meet the diverse needs of distinct research communities. This workshop advances understanding of the urgent questions that the scientific community is facing due to shifts in academic publication praxis and dissemination publishing models. The workshop provides a platform for critical dialogue aimed at enhancing our understanding and management of the scientific enterprise through open, data-driven research practices. Specifically, we focus on measures of research quality and assurance, cost, fairness, choice, and multiplicity. By leveraging the collective expertise of participants, the workshop endeavors to cultivate a research agenda that is both consensus-driven and evidence-based, offering significant potential to advance knowledge of open science and public access. <br/><br/>This workshop on securing a robust and sustainable future for research communication aspires to fortify the foundations of STEM communications, with a focus on educating and engaging a broad audience, including funders. The primary outputs from this meeting are a publicly available recording of the proceedings and a comprehensive report that includes a call to action intended to inform decision-making and investment at research funding organizations including the U.S. National Science Foundation, related federal agencies, and private philanthropies.<br/><br/>The project is co-funded by the Science of Science: Discovery, Communication, and Impact program; the Cyberinfrastructure for Public Access and Open Science program.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/14/2024

05/14/2024

None

Grant

47.070, 47.075

1

4900

4900

2428384

{'FirstName': 'Amy', 'LastName': 'Brand', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amy E Brand', 'EmailAddress': 'amybrand@mit.edu', 'NSF_ID': '000936797', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

[{'Code': '125Y00', 'Text': 'Science of Science'}, {'Code': '741400', 'Text': 'NSF Public Access Initiative'}]

2024~49650

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428384.xml'}

Collaborative Research: Ideas Lab: Light in the Dark: Fiber Optic Sensing of Climate-Critical Carbon Cycle Components at Water/Ice-Air Interfaces

NSF

02/01/2024

09/30/2026

{'Value': 'Standard Grant'}

{'Code': '06040000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Kandace Binkley', 'PO_EMAI': 'kbinkley@nsf.gov', 'PO_PHON': '7032927577'}

Lakes play an important role in regulating the greenhouse gases that are important to Earth’s climate, but lakes are under an increasing amount of human-induced stress and disturbance, exacerbated by a changing climate. Monitoring of lakes, especially those that are ice covered in winter months, is critical to understand how lakes are changing. However, it is difficult to make such measurements because of the high cost to install and maintain instruments in the lake year-round. This Ideas Lab: Engineering Technologies to Advance Underwater Sciences (ETAUS) project will advance the field of water quality monitoring by developing a sensor that can monitor multiple water quality parameters throughout the year and fill this knowledge gap. The goal for the sensor development is to simultaneously measure parameters that are significant components of measuring a lake’s influence on climate change (carbon dioxide, methane), the health of the lake ecosystem (temperature, pH, salinity, dissolved oxygen), and the impacts of human influence (salinity, temperature). An easy-to-deploy, cost-effective sensor will provide an improved understanding of the carbon footprint of all lake systems that will better inform lake management decisions. The education programs supported by this project will also promote learning and discovery of water quality issues, science, and solutions for children and adults through the partnership with the Museum of Science (MOS) in Boston. The MOS has a focus on working with women and girls from the Boston community in engineering and a field-leading emphasis on universal design. <br/><br/>The overall aim of this project is to increase our quantitative understanding of greenhouse gas cycling within lakes through the development of a novel, miniature, fiber-optic multiparameter sensor (FOMS) capable of long-term, under-ice deployment. A fundamental understanding of the wave-material/structure interaction in cascaded high-Q ring resonators will be achieved to develop miniature photonic sensors for simultaneous monitoring of multiple parameters with high analyte specificity and fast response. The FOMS will be developed to measure seven parameters simultaneously, including CO2 and CH4, and deployed on a stationary mooring and mobile underwater robotic platforms for high temporal and spatial resolution data collection. The development and calibration of the FOMS will be guided by a novel machine learning-based sensor calibration model that will help transform the FOMS into an intelligent sensing system, leading to high-fidelity “fingerprint” sensing that can address hardware variations, noise in the monitoring environment, nonlinearities and uncertainties in the sensor response, and cross-talk between the multiple sensor inputs. Data will be collected year-round using the FOMS across stationary and mobile platforms, which will produce four-dimensional data. Data assimilation methods will be compared with the goal of producing a modeling framework that can inform measurement optimization in future deployments. Collectively, the development, testing, and use of the FOMS will produce a measurement tool and framework for a quantitative understanding of GHG production, consumption, and transport in ice-covered lakes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/01/2024

05/01/2024

None

Grant

47.070

1

4900

4900

2428385

{'FirstName': 'Alexander', 'LastName': 'Michaud', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander B Michaud', 'EmailAddress': 'amichaud@bigelow.org', 'NSF_ID': '000708413', 'StartDate': '05/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '220Y00', 'Text': 'ETAUS-EngTechUnderwaterSci'}

2023~213430

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428385.xml'}

RAPID: Understanding the Ground Ozone Production Drivers by Combining Formaldehyde and Nitrogen Dioxide Measurements during Salt Lake City Summer Ozone Study (SLC-SOS)

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '06020100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Sylvia Edgerton', 'PO_EMAI': 'sedgerto@nsf.gov', 'PO_PHON': '7032928522'}

This RAPID project supports participation in the 2024 Salt Lake City - Summer Ozone Study (SLC-SOS) field campaign to gain a better understanding of ozone formation throughout the Salt Lake City region. This research will help to determine the conditions under which the ozone formation regime in the region is either limited by concentrations of volatile organic compounds (VOCs) or by concentrations of nitrogen oxides or is in transition between these two regimes. This information is helpful for designing strategies for mitigating ozone pollution in the region.<br/><br/>The objectives of this study are to: (1) measure high time resolution formaldehyde (HCHO) and nitrogen dioxide (NO2) concentrations during SLC-SOS at a stationary ground site, jointly with measurement of ozone (O3) and other O3 precursors; and (2) identify the summertime O3 formation regime over the Northern Wasatch Front (NWF) region in Utah using SLC-SOS data and model simulations. The hypothesis is that the summertime O3 formation regime in the Salt Lake City (SLC) region can be characterized using HCHO/NO2 ratios, gas-phase atmospheric measurements, and model simulations. Two graduate students will participate in the project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.050

1

4900

4900

2428481

[{'FirstName': 'Jiajue', 'LastName': 'Chai', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jiajue Chai', 'EmailAddress': 'jichai@esf.edu', 'NSF_ID': '000761817', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Yaoxian', 'LastName': 'Huang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yaoxian Huang', 'EmailAddress': 'yaoxian.huang@wayne.edu', 'NSF_ID': '000821972', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Wayne State University', 'CityName': 'DETROIT', 'ZipCode': '482023692', 'PhoneNumber': '3135772424', 'StreetAddress': '5700 CASS AVE STE 4900', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'MI13', 'ORG_UEI_NUM': 'M6K6NTJ2MNE5', 'ORG_LGL_BUS_NAME': 'WAYNE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Wayne State University', 'CityName': 'DETROIT', 'StateCode': 'MI', 'ZipCode': '482023692', 'StreetAddress': '5700 CASS AVE STE 4900', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'MI13'}

{'Code': '152400', 'Text': 'Atmospheric Chemistry'}

2024~139995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428481.xml'}

Conference: Workshop on Figurative Language Processing

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Eleni Miltsakaki', 'PO_EMAI': 'emiltsak@nsf.gov', 'PO_PHON': '7032922972'}

The fourth workshop on Figurative Language Processing, a multidisciplinary event will take place in conjunction with the NAACL 2024 conference in Mexico City, Mexico. The workshop aims to foster advancements in the computational understanding of figurative language. It will integrate various computational, cognitive, and linguistic perspectives, focusing on both theoretical and applied methodologies. It will contribute to understanding how advanced language models can interpret and generate figurative language, impacting fields like sentiment analysis, creative writing, and digital humanities. The event will feature keynote speakers, panel discussions, shared tasks, and paper presentations, creating a platform for exchanging cutting-edge research and fostering collaborations among researchers from diverse fields such as NLP, psycholinguistics, neurolinguistics, and education. The shared tasks, involving multilingual euphemism detection and visual entailment, are designed to push the boundaries of current technology and stimulate innovation.<br/><br/>By encouraging the participation of students, especially those from underrepresented groups, and offering travel stipends, the event aims to promote diversity and inclusivity in scientific research. The interdisciplinary nature of the workshop will help bridge gaps between different research communities, enhancing cross-disciplinary understanding and collaboration. The knowledge generated from this workshop has the potential to influence various societal applications, from improving AI-driven communication tools to enhancing our understanding of language's role in human interaction and culture. The dissemination of findings through publications and a dedicated workshop page will ensure that the benefits of this research extend beyond the immediate participants, contributing to broader societal advancements in technology and education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/12/2024

05/12/2024

None

Grant

47.070

1

4900

4900

2428506

{'FirstName': 'Anna', 'LastName': 'Feldman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anna Feldman', 'EmailAddress': 'feldmana@mail.montclair.edu', 'NSF_ID': '000277026', 'StartDate': '05/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Montclair State University', 'CityName': 'MONTCLAIR', 'ZipCode': '070431624', 'PhoneNumber': '9736556923', 'StreetAddress': '1 NORMAL AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'NJ11', 'ORG_UEI_NUM': 'CM4TTRKFCLF9', 'ORG_LGL_BUS_NAME': 'MONTCLAIR STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Montclair State University', 'CityName': 'MONTCLAIR', 'StateCode': 'NJ', 'ZipCode': '070431624', 'StreetAddress': '1 NORMAL AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'NJ11'}

{'Code': '749500', 'Text': 'Robust Intelligence'}

2024~22410

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428506.xml'}

Travel: NSF Student Travel Grant for IEEE SMARTCOMP 2024

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '05050000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CNS', 'LongName': 'Division Of Computer and Network Systems'}}

{'SignBlockName': 'David Corman', 'PO_EMAI': 'dcorman@nsf.gov', 'PO_PHON': '7032928754'}

The 10th IEEE International Conference on Smart Computing (SMARTCOMP 2024) will be held in Osaka, Japan on 29 June – 2 July 2024 . IEEE SMARTCOMP 2024 conference offers a valuable opportunity to present cutting-edge computing and engineering research results, to learn about the state-of-the-art in smart and connected computing and communities, and to train US-based undergraduate, master’s, doctoral, and post-doctoral students (from computer science and engineering disciplines) through the main conference and other associated events (e.g., student forum, workshops, demo, posters, and industry sessions). SMARTCOMP 24 will include multiple subconferences and workshops spanning a variety of domains that depend upon smart computing. <br/><br/>This grant will support the travel of 12 US-based students to attend the IEEE SMARTCOMP 2024 conference in-person in Osaka, Japan.<br/>SMARTCOMP is the premier conference on smart computing that is emerging as an important multidisciplinary area. Smart Computing can be broadly classified into two major topics: (1) how to design and build smart computing and service systems, and (2) how to use computing and engineering technology for resource sustainability to improve the human experience. Applications of smart computing span trans-disciplinary boundaries such as transportation, energy, sustainability, structural health, environmental protection, healthcare, security, and so on. The conference also will feature a student forum which includes presentations, poster sessions, individual mentoring with academia and industry, and student networking opportunities. Research in the SmartComp 24 area is central to many important application spaces that are critical to today’s society.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/19/2024

05/19/2024

None

Grant

47.070

1

4900

4900

2428516

{'FirstName': 'Shameek', 'LastName': 'Bhattacharjee', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shameek Bhattacharjee', 'EmailAddress': 'shameek.bhattacharjee@wmich.edu', 'NSF_ID': '000742446', 'StartDate': '05/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Western Michigan University', 'CityName': 'KALAMAZOO', 'ZipCode': '490085200', 'PhoneNumber': '2693878298', 'StreetAddress': '1903 W MICHIGAN AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MI04', 'ORG_UEI_NUM': 'J7WULLYGFRH1', 'ORG_LGL_BUS_NAME': 'WESTERN MICHIGAN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Western Michigan University', 'CityName': 'KALAMAZOO', 'StateCode': 'MI', 'ZipCode': '490085200', 'StreetAddress': '1903 W MICHIGAN AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MI04'}

{'Code': '791800', 'Text': 'CPS-Cyber-Physical Systems'}

2024~24000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428516.xml'}

FET: Small: LightRidge: End-to-end Agile Design for Diffractive Optical Neural Networks

NSF

10/01/2023

09/30/2026

{'Value': 'Continuing Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Sankar Basu', 'PO_EMAI': 'sabasu@nsf.gov', 'PO_PHON': '7032927843'}

Recently, there have been increasing efforts to advance emerging technologies, which bring significant advantages for machine learning (ML) in terms of power efficiency, computational efficiency, and sustainability. With the considerable benefits in energy efficiency, there are significant interests in leveraging optical computing into applications, such as medical sensing, security screening, drug detection, and autonomous driving. Specifically, optical computing offers unique advantages in power efficiency and extreme computation speed, leading to significant performance improvements compared to digital computing systems for ML tasks. This project aims to develop an end-to-end design infrastructure to advance optical computing for ML, covering from low-level physics to algorithms to full-stack system design. This will generate broader impacts in cross-disciplinary research and real-world application fields from physics to computer science to ML. This project will produce an open-source design infrastructure, LightRidge, and conference tutorials to facilitate technology transfers and fruitful industry-academia interactions in a multidisciplinary community.<br/><br/>This project aims to develop an open-source, end-to-end design infrastructure, LightRidge, to explore and advance Diffractive Deep Neural Networks (DONNs) in real-world ML tasks. DONNs utilize the free-space light diffraction to form an optical feed-forward network like conventional DNNs architecture, which can host millions of neurons in each layer that are interconnected with those in neighboring layers, offering orders of magnitude energy efficiency improvements over general-purpose processor and domain-specific accelerators. However, there are several critical technical barriers in the design, training, exploration, and hardware deployment of DONNs. Thus, this project will produce an agile end-to-end design and fabrication programming framework LightRidge, consisting of precise, versatile, and differentiable optical physics kernels powered by domain-specific high-performance-computing developments, with novel physics-aware hardware-software codesign methodologies to strengthen the correlations between algorithm modeling and physical hardware. This project will also develop an intelligent and efficient design space exploration (DSE) engine LightRidge-DSE, to enable architectural and fabrication parameters exploration, monolithic on-chip DONNs integration, and demonstrate real-world all-optical ML tasks. Finally, LightRidge will be fully released as an open-source hardware project, which will contribute to multidisciplinary research domains such as physics, electrical engineering, computer science, and can be used as a new education platform.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.070

1

4900

4900

2428520

{'FirstName': 'Cunxi', 'LastName': 'Yu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cunxi Yu', 'EmailAddress': 'cunxiyu@umd.edu', 'NSF_ID': '000815565', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

{'Code': '089Y00', 'Text': 'FET-Fndtns of Emerging Tech'}

2023~584209

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428520.xml'}

EAGER: Exploiting Smartphone Global Navigation Satellite Systems (GNSS) Signals for Ionospheric Science

NSF

10/01/2024

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '06020200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Shikha Raizada', 'PO_EMAI': 'sraizada@nsf.gov', 'PO_PHON': '7032928963'}

The incoming solar radiation results in the ionization of the Earth’s atmosphere above 80 km. This region, known as the ionosphere, plays a crucial role in mediating the transfer of energy from the Sun to the Earth. It is a region where small-scale plasma irregularities occur that disrupt radio-frequency transmissions and degrade satellite-based navigation systems such as Global Positioning System (GPS). Progress on understanding how these irregularities form has been hampered by a lack of observing techniques that provide a time-dependent, multi-scale view of the ionosphere. Citizen scientists offer a novel and impactful solution. GPS measurements on the new generation of smartphones can provide a measure of the total integrated plasma density between the satellite transmitter and the phone, a parameter referred to as `Total Electron Content' or TEC. When TEC is measured along many paths simultaneously, it becomes possible to construct a high-resolution image of the ionosphere, with resolution limited only by the number and location of receivers. This project seeks to provide proof-of-concept for an adaptive ionospheric sensing network formed by groups of citizen scientists. Such a human-powered observatory concept could revolutionize ionospheric science and cultivate strong connections with the public who may know little about our near-space environment and its effects on everyday technologies.<br/><br/>This project will enlist citizen scientists with dual-frequency smartphones to help address one of the great overarching questions in ionospheric science: How do macro-scale Geospace dynamics lead to the micro-scale density irregularities that disrupt radio-frequency signals? The latest dual-frequency, multi-constellation smartphones have been shown to provide a scientifically useful measure of carrier-phase TEC. The rapid proliferation of these phones has moved this concept to a critical transition where we may now consider deploying networks of smartphone-wielding citizens as an augmentation to TEC maps derived from permanent reference receiver networks. The project explores an innovative idea to develop an adaptive ionospheric observatory formed by networks of citizen scientists, cued to a particular location in space and time based on forecasts (e.g., an eclipse, a geomagnetic storm, weather patterns) or now-casts (geological activity, STEVE events). The one-year project seeks to provide a proof-of-concept for a distributed smartphone observatory through some observational efforts centered on specific cases like solar eclipse, and dynamical auroral events. This project will bring a multitude of positive impacts to the Geospace discipline, including (1) introducing the ionosphere to a cross-section of citizens, which promotes solar and Geospace physics; (2) leveraging the remarkable sensing, computation, and networking capabilities of smartphones for Geospace research, and (3) training of a female Ph.D. student.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/07/2024

05/07/2024

None

Grant

47.050

1

4900

4900

2428531

{'FirstName': 'Joshua', 'LastName': 'Semeter', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joshua Semeter', 'EmailAddress': 'jls@bu.edu', 'NSF_ID': '000100994', 'StartDate': '05/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'ZipCode': '022151703', 'PhoneNumber': '6173534365', 'StreetAddress': '1 SILBER WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'THL6A6JLE1S7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '022151703', 'StreetAddress': '1 SILBER WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '152100', 'Text': 'AERONOMY'}

2024~99637

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428531.xml'}

EAGER: SYNPLASOMES - SYNthetic PLAnt epiSOMES for plant genome editing and engineering

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Pankaj Jaiswal', 'PO_EMAI': 'pjaiswal@nsf.gov', 'PO_PHON': '7032924594'}

Plant genome editing and engineering are crucial for understanding the genetics behind complex traits, such as drought tolerance, improving crop yield and plant structure. These technologies are essential for making crops more sustainable and productive, especially as the global population grows and environmental conditions worsen. There is also an urgent need to accelerate the production of plant-based nutrition and health products. However, current plant genome editing faces challenges due to inefficient gene delivery and expression systems. The process involves complex tissue culture and plant transformation methods that are time consuming and work on a limited number of plant varieties, thus limiting the scope and scalability. To address these issues, the project aims to develop unique synthetic circular DNAs designed to be self-replicating but not integrated into the main genome of the plant cell. Similar systems have been tested successfully in animal systems to study genetic components in a cell that modulate function of genes and biological processes associated with diseases and health conditions. This advancement and application in plants could provide more efficient tools in the hands of plant researchers working on studying gene function, climate resilience, and help identify native candidate genes for improving yield and stress tolerance in crops. <br/><br/>Nano-enabled genome editing offers a promising solution for addressing the limitations inherent in conventional plant genetic transformation, essential for genome editing and engineering. Despite its potential, the efficiency of nano-enabled transformation remains lower than that of Agrobacterium-mediated transformation. Bothe methods have additional limitations including, diminishing levels of transgene expression for a desired duration in a plant, and limited varieties of plants that can be transformed. The proposed research focuses on the development of SYNthetic PLAnt epiSOMES (SYNPLASOMES) that are engineered to self-replicate, assist in the selection of transformants and do not integrate into the native genome. The study will evaluate the effectiveness of various plant-specific combinations of origins of replication and matrix attachment regions in enhancing both the level and the duration of transgene expression through nano-enabled genetic transformation. These SYNPLASOMES, synthesized, assembled, and delivered using D-R9 cell-penetrating peptides, will be tested in several model plants and crop species, including tobacco, canola, soybean, and poplar. Anticipated result from this research is the development of an efficient, persistent, self-replicating, and integration-free plant genetic transformation system. Such a system has the potential for breakthrough application across a diverse array of plant species, significantly benefiting biotechnological endeavors in plant and agricultural sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/21/2024

06/21/2024

None

Grant

47.074

1

4900

4900

2428547

{'FirstName': 'Bernie', 'LastName': 'Wone', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bernie Wone', 'EmailAddress': 'bernie.wone@usd.edu', 'NSF_ID': '000738696', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of South Dakota Main Campus', 'CityName': 'VERMILLION', 'ZipCode': '570692307', 'PhoneNumber': '6056775370', 'StreetAddress': '414 E CLARK ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'South Dakota', 'StateCode': 'SD', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'SD00', 'ORG_UEI_NUM': 'U9EDNSCHTBE7', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF SOUTH DAKOTA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of South Dakota Main Campus', 'CityName': 'VERMILLION', 'StateCode': 'SD', 'ZipCode': '570692307', 'StreetAddress': '414 E CLARK ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Dakota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'SD00'}

{'Code': '132900', 'Text': 'Plant Genome Research Project'}

2024~299988

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428547.xml'}

CRISP 2.0 Type 2: Collaborative Research: Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)

NSF

01/01/2024

09/30/2024

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Siqian Shen', 'PO_EMAI': 'siqshen@nsf.gov', 'PO_PHON': '7032927048'}

This Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) project develops an integrated resilience modeling framework for mitigating vulnerabilities in critical interdependent infrastructure systems. The framework evaluates the coupled nature of vulnerabilities across physical and social systems in Miami and Houston. By focusing on the effects of recent hurricanes on the interdependent-infrastructures in energy, water, transportation and telecommunication, and the human-infrastructures interactions, the project explores options for resilience. The system vulnerabilities are quantified with regional inoperability based economic-interdependency models. The project will develop an app for information sharing with the public. Thus, this scientific research contribution supports NSF's mission to promote the progress of science and to advance our national welfare with benefits that will optimize investments in the nation's critical infrastructures. <br/><br/>The project integrates risk-based models, agent-based simulations, dynamic models of social vulnerability, and models of economic impacts of inoperability. The novelty lies in integrating the interdisciplinary research components: (i) incorporating wind and flood inundation risk into the utility and service disruption models to analyze and determine the extent of interdependent infrastructure failures in energy, water, transportation, and telecommunication sectors; (ii) constructing socio-infrastructural systems of vulnerability and analyzing evacuation/relocation behavior to assess the need for emergent critical infrastructure services; (iii) micro simulation for analyzing coping behavior and facilitating decentralized resilience through information sharing and critical resource pooling; (iv) a macro (city level) inoperability based resilience model to integrate household and social responses with disrupted interdependent infrastructure systems; and (v) developing an app to facilitate and scale up participatory resilience through crowd-sourcing which will be usable in other disaster settings. The project will engage, mentor, and offer an innovative active learning environment for K-12, undergraduate, and graduate students by giving priority to the disadvantaged and underrepresented communities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428625

{'FirstName': 'Christopher', 'LastName': 'Kuhlman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher Kuhlman', 'EmailAddress': 'ckuhlman@vt.edu', 'NSF_ID': '000669587', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '027Y00', 'Text': 'CRISP - Critical Resilient Int'}

2018~108195

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428625.xml'}

RAPID: Understanding Freight Flow Adaptations and Supply Chain Logistics Impacts of the Francis Scott Key Bridge Collapse

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Daan Liang', 'PO_EMAI': 'dliang@nsf.gov', 'PO_PHON': '7032922441'}

On March 26, 2024, an uncontrolled marine vessel leaving the Baltimore Harbor blocked access to and from the Port of Baltimore by water and took out a critical roadway segment (the Francis Scott Key Bridge) that is used to reach the Port by land. The impacts of this disruption are far reaching and arise through complex mechanisms. This grant for Rapid Response Research (RAPID) project aims to investigate the impacts of this disruption to intermodal freight transport services provided through integrated marine, truck, and rail modes via the port. The objective is to collect and analyze time-sensitive and perishable data on disruption-initiated operational changes related to the port and the transportation modes. Insights are expected to answer a set of key questions, namely, (1) how this disruption affects the flow and distribution of freight traffic across the intermodal logistics system; (2) what the immediate and lasting impacts of the disruption are on congestion, port capacity utilization, freight distribution, and intermodal freight network resilience; and (3) how related disruptions propagate spatially and temporally at local, regional, and global scales. Project outcomes help stakeholders to protect national logistics networks from failure propagation and reduce disruption impacts from future similar events, thereby protecting the nation’s infrastructure and economy. Educational activities provide experience for the nation’s future civil engineering workforce.<br/><br/>Critical, perishable freight data is needed to advance fundamental understanding of complex, interacting multi-modal systems and transient post-disruption behaviors across local, regional, and global scales. Example data types include: the number of vessels waiting offshore, average time-to-berth, gantry crane efficiency, business volume, truck traffic on key corridors, truck delays at ports, ground access travel time, number of rail cars sidelined, and rail hub closures or fill rates. Combined with analytical techniques (e.g., Bayesian networks and other data-driven methods, graph theoretic models, network flow analysis, spatial-temporal analyses, stochastic modeling, systems dynamics, simulation), this project: (1) facilitates a deeper understanding of disruption and recovery dynamics; (2) unravels understanding of complex interactions from immediate consequences and subsequent cascading effects within intermodal transportation networks; (3) expands theoretical frameworks concerning disruption propagation and the formulation of effective prevention strategies; and (4) informs the development of more resilient and adaptive freight transportation systems. These outcomes can play an important role in supporting decision-makers in building back better.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428634

[{'FirstName': 'Elise', 'LastName': 'Miller-Hooks', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elise D Miller-Hooks', 'EmailAddress': 'miller@gmu.edu', 'NSF_ID': '000187128', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Alireza', 'LastName': 'Ermagun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alireza Ermagun', 'EmailAddress': 'aermagun@gmu.edu', 'NSF_ID': '000809109', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'George Mason University', 'CityName': 'FAIRFAX', 'ZipCode': '220304422', 'PhoneNumber': '7039932295', 'StreetAddress': '4400 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'VA11', 'ORG_UEI_NUM': 'EADLFP7Z72E5', 'ORG_LGL_BUS_NAME': 'GEORGE MASON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'H4NRWLFCDF43'}

{'Name': 'George Mason University', 'CityName': 'FAIRFAX', 'StateCode': 'VA', 'ZipCode': '220304422', 'StreetAddress': '4400 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'VA11'}

{'Code': '163800', 'Text': 'HDBE-Humans, Disasters, and th'}

2024~85000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428634.xml'}

NSF-NFRF: Retreating from risk (RFR): Decision-supports for the equitable implementation of retreat to build climate resilience

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Allen Pope', 'PO_EMAI': 'apope@nsf.gov', 'PO_PHON': '7032928030'}

Rising sea levels, changing hydrological regimes, and intensifying extreme weather events are exacerbating flood risks for low-lying communities. Reducing flood risks is an urgent challenge for disaster risk reduction and climate change adaptation for as much as 23% of the global population. Protective infrastructure (e.g., dikes, seawalls, dams), otherwise known as “a structural approach,” is currently the dominant risk management strategy, but this approach has significant shortcomings. As climate impacts intensify, communities will require transformative adaptation strategies that reduce risk and address vulnerabilities equitably. In this project, we focus on managed retreat (MR)—relocation of people, property and infrastructure away from the most vulnerable areas—as an adaptation approach that offers both risk reduction benefits and opportunities to advance social justice for disproportionately-impacted groups. Co-created with communities in the U.S., Canada, and Indonesia, this project will produce fundamental and actionable knowledge on how diverse communities can adopt managed retreat as a climate adaptation strategy, to reduce risk and advance social justice for disproportionately-impacted groups. This project will strengthen international partnerships and transform international understanding of managed retreat as an adaptation strategy. This project will train three graduate students with an interdisciplinary, international research experience with deep community engagement.<br/><br/>The project’s goal is to co-create new knowledge and actionable outputs to support the development and uptake of equity-informed, community-engaged managed retreat programs as a viable climate adaptation strategy. This project includes six research tasks that will advance fundamental knowledge on the decision support needs for municipalities and Indigenous communities as they consider and/or seek to implement equitable managed retreat programs as an adaptation strategy to build flood resilience. Iteratively refined with community partners, this project will: analyze past managed retreat initiatives to identify best practices, dynamics, challenges, and complexities; compare case studies of managed retreat programs at different implementation stages across Canada, the U.S., and Indonesia to understand managed needs and constraints from residents and decision-makers through roundtables and focus groups; and develop decision criteria and case study summary briefs to show future risks and vulnerabilities. Using practitioner input, the project will co-develop contextually-relevant decision-support tools (e.g., training module, best practices guidebook, conversation toolkits) that will enable community leaders to engage constituents on managed retreat.<br/><br/>This award is part of a collaboration jointly funded by the U.S. National Science Foundation and funding agencies from Canada via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition, led by Canada. Each agency funds the scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/31/2024

05/31/2024

None

Grant

47.079

1

4900

4900

2428674

[{'FirstName': 'Ali', 'LastName': 'Nejat', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ali Nejat', 'EmailAddress': 'ali.nejat@ttu.edu', 'NSF_ID': '000615577', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Elaina', 'LastName': 'Sutley', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elaina J Sutley', 'EmailAddress': 'enjsutley@ku.edu', 'NSF_ID': '000717323', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sara', 'LastName': 'Hamideh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sara Hamideh', 'EmailAddress': 'sara.hamideh@stonybrook.edu', 'NSF_ID': '000719638', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'ZipCode': '660457563', 'PhoneNumber': '7858643441', 'StreetAddress': '2385 IRVING HILL RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kansas', 'StateCode': 'KS', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'KS01', 'ORG_UEI_NUM': 'SSUJB3GSH8A5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF KANSAS CENTER FOR RESEARCH INC', 'ORG_PRNT_UEI_NUM': 'SSUJB3GSH8A5'}

{'Name': 'University of Kansas Center for Research Inc', 'CityName': 'LAWRENCE', 'StateCode': 'KS', 'ZipCode': '660457563', 'StreetAddress': '2385 IRVING HILL RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kansas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'KS01'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~650910

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428674.xml'}

I-Corps: Translation Potential of Advanced Medical Image Processing Algorithms for Stroke Diagnosis and Prognosis

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Jaime A. Camelio', 'PO_EMAI': 'jcamelio@nsf.gov', 'PO_PHON': '7032922061'}

The broader impact of this I-Corps project is the development of stroke diagnosis assistance system. Through Magnetic Resonance Imaging analysis, this technology promises to improve stroke care by providing personalized, precise prognostic information that supports targeted rehabilitation and optimizes recovery. This technology can bridge critical gaps in the current healthcare system, offering benefits to individual patients and to the broader medical community. For patients and their families, it offers a clearer understanding of recovery trajectories, reducing anxiety and improving mental health. Healthcare providers gain a powerful tool for crafting personalized care plans and improving outcomes while making efficient use of resources. In rural areas, where specialized care is limited, this system can significantly enhance the quality of care by democratizing access to advanced neurological insights. By streamlining communication within the healthcare ecosystem, this technology fosters a collaborative approach to patient care, enhancing efficiency and quality across the board. Overall, the solution represents a shift towards more informed, efficient, and patient-centered stroke care, setting a new benchmark for the integration of artificial intelligence in healthcare.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of a stroke diagnosis assistance system that is able to automatically deliver comprehensive reports. At the core of this breakthrough is the utilization of artificial intelligence to process and interpret complex radiological data that traditionally requires extensive manual analysis by highly trained specialists. The algorithms are trained on vast datasets of stroke patient imaging and behavioral data, enabling the system to identify, quantify, and analyze stroke lesions with unprecedented precision. The resulting radiological reports provide detailed visualizations, lesion volume, and affected brain areas, alongside predictive assessments of long-term recovery across motor and cognitive functions. This technological prowess showcases the capabilities of advanced computational models and algorithms and sets a new standard in the application of artificial intelligence for enhancing diagnostic accuracy and treatment efficacy in stroke care.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.084

1

4900

4900

2428675

[{'FirstName': 'Michal', 'LastName': 'Brzus', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michal Brzus', 'EmailAddress': 'michal-brzus@uiowa.edu', 'NSF_ID': '0000A04D4', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Hans', 'LastName': 'Johnson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hans Johnson', 'EmailAddress': 'hans-johnson@uiowa.edu', 'NSF_ID': '000695320', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'ZipCode': '522421316', 'PhoneNumber': '3193352123', 'StreetAddress': '105 JESSUP HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IA01', 'ORG_UEI_NUM': 'Z1H9VJS8NG16', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF IOWA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Iowa', 'CityName': 'IOWA CITY', 'StateCode': 'IA', 'ZipCode': '522421316', 'StreetAddress': '105 JESSUP HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Iowa', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IA01'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428675.xml'}

Collaborative Research: LTREB Renewal - River ecosystem responses to floodplain restoration

NSF

01/15/2024

09/30/2028

{'Value': 'Continuing Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Kendra McLauchlan', 'PO_EMAI': 'kmclauch@nsf.gov', 'PO_PHON': '7032922217'}

Floodplains are the areas alongside rivers that are affected by water movement. Floodplains provide many important benefits to people, yet they are also susceptible to changes such as flooding, pollution, and other disturbances. Understanding the effects of long-term changes in river ecosystems affected by metal pollution is extremely important. This project studies changes over ten years in the Upper Clark Fork River in Montana following a large project that restored vegetation and removed contaminated soil after damage from extensive mining in the river’s headwaters. Changes in land use and wastewater treatment are also altering nitrogen and phosphorus concentrations along the river. Since 2013, nearly 17 km of river has been restored and three core data sets have been collected, which were initiated decades before the restoration. The long-term measurements and the spatial scale of the study provides an opportunity to observe the ecological processes involved in restoration practices. Several undergraduate and graduate students are educated as part of this project, data are made available to the public, and results are shared with many stakeholders in this river system through the Clark Fork Science Forum.<br/><br/><br/>The study system of the Upper Clark Fork River in Montana, has several unique qualities that enable this project to make significant scientific advances. First, the system has received high inputs of metals that have since ceased. This enables investigation of the ecosystem dynamics over time in response to this cessation. Second, the investigators have closely observed ecological and biogeochemical responses over decadal timescales, which is the appropriate timeframe to study the types of slow processes involved in river ecosystem recovery. The project generates core data sets including: 1) influences on organic matter and sediment metals, 2) changes in upstream-downstream gradients in sediment metals, 3) metabolic responses to floodplain reconnection in restored reaches during the spring flood pulse vs. summer baseflow, 4) changes in metal bioavailability caused by interaction with dissolved organic matter, and 5) measurements of nitrogen, phosphorus, and dissolved organic carbon in restored and unrestored parts of the river. Ultimately, this project investigates river ecosystem responses over large spatial (>200 km) and temporal (> decadal) scales.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

06/25/2024

None

Grant

47.074

1

4900

4900

2428705

{'FirstName': 'Juliana', 'LastName': "D'Andrilli", 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Juliana D'Andrilli", 'EmailAddress': "juliana.d'andrilli@unt.edu", 'NSF_ID': '000760102', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of North Texas', 'CityName': 'DENTON', 'ZipCode': '762051132', 'PhoneNumber': '9405653940', 'StreetAddress': '1112 DALLAS DR STE 4000', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'TX13', 'ORG_UEI_NUM': 'G47WN1XZNWX9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH TEXAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of North Texas', 'CityName': 'DENTON', 'StateCode': 'TX', 'ZipCode': '762051132', 'StreetAddress': '1112 DALLAS DR STE 4000', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'TX13'}

{'Code': '738100', 'Text': 'Ecosystem Science'}

['2023~31476', '2024~111524']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428705.xml'}

Conference: International Society of the Learning Sciences (ISLS) 2024 Annual Meeting (Doctoral Consortium and Early Career Workshop)

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '11090000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DRL', 'LongName': 'Division Of Research On Learning'}}

{'SignBlockName': 'Amy Baylor', 'PO_EMAI': 'abaylor@nsf.gov', 'PO_PHON': '7032925126'}

The United States has historically been a global leader in the field of the learning sciences, an interdisciplinary field that draws on multiple theoretical and methodological perspectives with the goal of advancing knowledge about human learning and development in a variety of educational settings, frequently in the context of emerging technologies including artificial intelligence. The preeminent conference in this field is the Annual Meeting of the International Society of the Learning Sciences (ISLS), held this year in Buffalo NY, June 2024. At this conference the latest research is presented, and participants learn state-of-the-art techniques to address important challenges associated with the transformation of education and broadening of participation in the digital age.<br/><br/>The project provides partial travel support to the ISLS Meeting for seven Ph.D. students from the United States, selected through a competitive process, to present their work and receive additional mentoring outside of their dissertation committees as part of a doctoral consortium. The project also supports partial travel support for seven early career researchers from the United States, to discuss their research programs and career trajectories with peers and senior researchers in the field. Additionally, the workshop will target diverse participants within the field and mentor scholars who are underrepresented. The intellectual merit of the work is in improving the dissertation research of the graduate students and building impact and opportunity for early career researchers; in both tracks the work is enhanced by guidance from world-class mentors who meet with the students in a structured format to improve their research. The broader impact includes multiplying opportunities to develop collaborations in the field of learning sciences, and supporting the career development of some of the best and brightest researchers in multiple disciplines who work in this interdisciplinary area. By supporting a pipeline of high-quality US scholars from multiple disciplines into this interdisciplinary field, this proposal helps ensure US participation and parity in this productive and vital area of research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/22/2024

05/22/2024

None

Grant

47.076

1

4900

4900

2428717

{'FirstName': 'Xiaohui', 'LastName': 'Wang', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaohui C Wang', 'EmailAddress': 'wangxc@buffalo.edu', 'NSF_ID': '000295916', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY at Buffalo', 'CityName': 'AMHERST', 'ZipCode': '142282577', 'PhoneNumber': '7166452634', 'StreetAddress': '520 LEE ENTRANCE STE 211', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_ORG': 'NY26', 'ORG_UEI_NUM': 'LMCJKRFW5R81', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}

{'Name': 'SUNY at Buffalo,', 'CityName': 'Buffalo', 'StateCode': 'NY', 'ZipCode': '142148032', 'StreetAddress': 'Diefendorf Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}

{'Code': '802000', 'Text': 'Cyberlearn & Future Learn Tech'}

2024~34878

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428717.xml'}

New Data Science for Human Operational Analysis in Smart Manufacturing

NSF

01/01/2024

10/31/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Reha Uzsoy', 'PO_EMAI': 'ruzsoy@nsf.gov', 'PO_PHON': '7032922681'}

This award will contribute to national prosperity and economic welfare by advancing data science methods for improving manufacturing systems combining automated machines and human workers using data from in-situ sensors. This will allow the operational uncertainties arising from human operations to be quantified and integrated into models for performance evaluation and operations planning. The award will also prepare the next generation of scientists by providing multidisciplinary research, training, and international collaboration opportunities for K-12, undergraduate, and graduate students. Our team will broadly disseminate their research findings and share data and the resulting software packages to the data science and operations engineering community.<br/><br/>This project will make significant scientific advances in data science and smart manufacturing, going beyond current methods focused on human action recognition by incorporating a contextual understanding of human motions analysis in operational analysis. The use of wrapped Gaussian distributions will introduce new mathematical and probability spaces related to human operations and novel computational approaches to related inference problems. These methods will complement current smart manufacturing research by supporting digital twins of manufacturing systems with human operational data, contributing to the body of scientific and engineering knowledge and improved industrial productivity.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428742

{'FirstName': 'Chiwoo', 'LastName': 'Park', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chiwoo Park', 'EmailAddress': 'chiwpark@uw.edu', 'NSF_ID': '000614740', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981951016', 'StreetAddress': '4333 BROOKLYN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}

[{'Code': '006Y00', 'Text': 'OE Operations Engineering'}, {'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}]

2022~292121

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428742.xml'}

RUI: Configuration Spaces of Rigid Origami

NSF

04/15/2024

08/31/2025

{'Value': 'Continuing Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Christopher Stark', 'PO_EMAI': 'cstark@nsf.gov', 'PO_PHON': '7032924869'}

Origami, the art of paper folding, has been practiced for centuries. The mathematics behind origami, however, is not yet fully understood. In particular, some origami models can be folded and unfolded in such a way that we could make the crease lines be hinges and the paper between them stiff like sheet metal. Such models are called rigidly flexible origami and have applications that span the physical and biological sciences, ranging from unfolding solar sails to collapsible heart stents. This project will add mathematical tools that allow industrial applications to employ cutting-edge research, from large-scale architectural structures to nano-scale robotics driven by origami mechanics. The tools from this project will help design self-foldable structures. Currently self-folding designs in engineering, architecture, and the biological sciences involve building physical models in a trial-and-error approach, wasting time and resources. The self-folding research provided by this project will allow designers to avoid pitfalls and tighten the design-to-realization process significantly. In addition to the research component, the PI shall organize a diverse range of educational activities including in-service teacher training and education, undergraduate mentoring and preparation for graduate school; high-school and undergraduate classes on the mathematics of folding; for the public, general-audience articles, lectures, and exhibitions. This will increase interest in STEM fields through the fun, hands-on nature of origami while simultaneously disseminating project results.<br/><br/>The methods of this project involve a blend of practical experimentation with theory. Programmed self-foldability of structures will be achieved by trimming away undesired paths from the configuration space of all possible rigid foldings. One approach is to transform a given rigid folding of a crease pattern into a kinematically equivalent rigid folding with fewer degrees of freedom. The PI has proposed such a transform and will develop others. Key to all of this, however, is gaining a better understanding of rigid origami configuration spaces, which are algebraically complicated and not well understood. The project seeks to understand, and exploit, local-to-global behavior that is present in many known examples of rigid origami. In these examples approximating the configuration space near the origin (the unfolded state) leads to exact equations for the global configuration space. Formulating rigid origami configuration spaces in this way will add insight into the general field of flexible polyhedral surfaces, as well as provide the data needed to prove the feasibility of origami crease pattern transforms and design reliably self-foldable origami mechanisms.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

04/22/2024

None

Grant

47.049

1

4900

4900

2428771

{'FirstName': 'Thomas', 'LastName': 'Hull', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas C Hull', 'EmailAddress': 'thull1@fandm.edu', 'NSF_ID': '000605706', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Franklin and Marshall College', 'CityName': 'LANCASTER', 'ZipCode': '176032827', 'PhoneNumber': '7173584517', 'StreetAddress': '415 HARRISBURG AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'PA11', 'ORG_UEI_NUM': 'P4NXVGAJNQK3', 'ORG_LGL_BUS_NAME': 'FRANKLIN AND MARSHALL COLLEGE', 'ORG_PRNT_UEI_NUM': 'P4NXVGAJNQK3'}

{'Name': 'Franklin and Marshall College', 'CityName': 'LANCASTER', 'StateCode': 'PA', 'ZipCode': '176032827', 'StreetAddress': '415 HARRISBURG AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'PA11'}

{'Code': '126500', 'Text': 'GEOMETRIC ANALYSIS'}

2021~59029

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428771.xml'}

RAPID: Invasive hydrilla and carbon cycling: leveraging an ecosystem-scale herbicide application to investigate feedbacks between invasive plants and greenhouse gas emissions

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Robyn Smyth', 'PO_EMAI': 'rsmyth@nsf.gov', 'PO_PHON': '7032922996'}

Hydrilla verticillata is an invasive aquatic plant that is rapidly spreading in freshwaters across the eastern United States, including the lower Connecticut River. With large environmental and economic impacts, hydrilla is one of the most problematic invasive aquatic plants in the United States. Hydrilla forms dense submerged mats or canopies, which impact native habitats, hydrology, carbon cycling, and recreation. To control the spread of hydrilla, experimental herbicides will be applied to affected areas in the lower Connecticut River in summer 2024. This RAPID project will leverage these herbicide applications as a unique plant-removal experiment to better understand the effects of hydrilla on freshwater ecosystems. The overarching goal of the project is to understand how this invasive aquatic plant can alter carbon cycling and greenhouse gas emission in inland waters. This research is important for understanding the full impacts of invasive aquatic plants on ecosystem function and potential linkages between climate change and invasive aquatic plants via greenhouse gases. Findings will inform aquatic plant management. <br/><br/>This research will explore how carbon concentrating mechanisms that help invasives like hydrilla outcompete native species can shift ecosystem-scale primary productivity from using only carbon dioxide to also using bicarbonate, a non-gaseous form of inorganic carbon. Bicarbonate uptake by hydrilla has the potential to transfer carbon from the slow-cycling geologic pool (bicarbonate has geologic sources) to the faster-cycling biologic pool (carbon dioxide in inland waters largely comes from respiration). This study will use oxygen and carbon dioxide sensors and grab samples to compare ecosystem metabolism and carbon cycling in treated and untreated embayments. Weekly samples will be used to assess greenhouse gas emissions. Analyses will determine the extent of bicarbonate uptake by hydrilla and the cascading impacts on carbon cycling processes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/03/2024

06/03/2024

None

Grant

47.074

1

4900

4900

2428783

[{'FirstName': 'Kelly', 'LastName': 'Aho', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kelly Aho', 'EmailAddress': 'kellyaho@gmail.com', 'NSF_ID': '000846964', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jeremiah', 'LastName': 'Foley', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': 'IV', 'PI_FULL_NAME': 'Jeremiah R Foley', 'EmailAddress': 'Jeremiah.foley@ct.gov', 'NSF_ID': '000941818', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488242600', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}

{'Code': '738100', 'Text': 'Ecosystem Science'}

2024~196466

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428783.xml'}

Conference: Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP 2024); Arlington, Virginia; 12-14 August 2024

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Wendy C. Crone', 'PO_EMAI': 'wcrone@nsf.gov', 'PO_PHON': '7032920000'}

This award provides travel support for 14 early career researchers to attend the 2024 Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP 2024), to be held in Crystal City, Arlington, Virginia, 12-14 August 2024. This thematic conference will provide an interdisciplinary coverage of uncertainty quantification for scientific machine learning and physics modeling. It will bring together leading experts, scientists, and young researchers from both academia and industry, with the goal of exchanging the latest developments on these topics and identifying challenges and opportunities to push this interdisciplinary research effort forward. The conference will feature technical presentations by invited speakers, a poster contest, and two panel sessions addressing challenges and future directions. This award will broaden the participation of a diverse set of participants, including women and underrepresented minorities, early career researchers and students, mid-career and senior faculty, as well as representatives from federal agencies and private companies. Dissemination will be achieved through workshop proceedings. A detailed summary about challenges and opportunities will be made available to the community at large.<br/><br/>Computational models of real-world systems are increasingly integrating data-driven models from the field of machine learning with physics-based models derived on, or informed by, first-principles. It is thus of greatest importance to carefully characterize and quantify the uncertainties associated with each model class under realistic scenarios where data can be scarce and limited. Furthermore, the propagation of parametric and model-form uncertainties to the outcomes of the integrated models demands for the construction of novel approaches or extensions of existing methodologies. Other topics that would benefit from such developments include digital twinning, model reduction, large scale integrated computations, and decision making in computational science and engineering. Applications of these methods hold the promise to push the boundaries of modeling, inverse identification, and simulation and experimental characterization in mechanics of materials and structures across scales. This thematic conference will facilitate the exchange of information on these topics, providing interdisciplinary collaboration and networking opportunities to a broad and diverse audience including early career researchers, faculty, students, stakeholders, and industrial partners.<br/><br/>This project is jointly funded by the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) in the Engineering (ENG) directorate and the Office of Advanced Cyberinfrastructure (OAC) in the Computer and Information Science and Engineering (CISE) directorate.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/20/2024

06/20/2024

None

Grant

47.041, 47.070

1

4900

4900

2428802

{'FirstName': 'Johann', 'LastName': 'Guilleminot', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Johann Guilleminot', 'EmailAddress': 'johann.guilleminot@duke.edu', 'NSF_ID': '000732781', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Duke University', 'CityName': 'DURHAM', 'ZipCode': '277054640', 'PhoneNumber': '9196843030', 'StreetAddress': '2200 W MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'TP7EK8DZV6N5', 'ORG_LGL_BUS_NAME': 'DUKE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Duke University', 'CityName': 'DURHAM', 'StateCode': 'NC', 'ZipCode': '277054640', 'StreetAddress': '2200 W MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}

[{'Code': '163000', 'Text': 'Mechanics of Materials and Str'}, {'Code': '736100', 'Text': 'EDUCATION AND WORKFORCE'}]

2024~16800

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428802.xml'}

Travel: Symposium on Science and Technology Driving the Bioeconomy 2024

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Carole Read', 'PO_EMAI': 'cread@nsf.gov', 'PO_PHON': '7032922418'}

This award is partial support of the 2024 Symposium on Stakeholders Perspective on the Bioeconomy as part of the meeting of the USDA S-1075 Multistate Committee. The biobased economy has potential to produce biofuels and bioproducts in an environmentally sustainable way. This consortia of researchers from 35 land grant universities address barriers to a bioeconomy including challenges in feedstock logistics and conversion technologies. Annual meetings of the S-1045 multistate committee are held to coordinate and share research from land grant universities across the nation. Symposiums are organized with leading researchers and speakers from funding agencies to share the latest research knowledge and coordinate future research.<br/><br/>The 2024 S-1075 Multistate Committee annual symposium will be held at the South Dakota State University. The meeting is planned to occur on July 25-26, 2024. The goal of the 2024 symposium is to develop an understanding of the key challenges when trying to commercialize bioenergy and bioproduct technologies. NSF funding will be used to support graduate students to attend this symposium and to meet with member researchers from approximately 35 land grant institutions. This is a meeting where the students can interact with the entire sector of the bioeconomy including researchers, producers, processors, financial sector, and government agencies. This will help in orienting the next workforce generation to challenges and opportunities in the bioeconomy. The proceedings from the symposium will be published and distributed widely to interested audience by S-1045 members.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.041

1

4900

4900

2428804

[{'FirstName': 'Christopher', 'LastName': 'Saffron', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher M Saffron', 'EmailAddress': 'saffronc@egr.msu.edu', 'NSF_ID': '000589568', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Lin', 'LastName': 'Wei', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lin Wei', 'EmailAddress': 'Lin.wei@sdstate.edu', 'NSF_ID': '000615362', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jian', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jian Shi', 'EmailAddress': 'j.shi@uky.edu', 'NSF_ID': '000724094', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Tyler', 'LastName': 'Barzee', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tyler J Barzee', 'EmailAddress': 'tjbarzee@uky.edu', 'NSF_ID': '000873558', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ewumbua', 'LastName': 'Monono', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ewumbua M Monono', 'EmailAddress': 'ewumbua.monono@ndsu.edu', 'NSF_ID': '000929074', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'ZipCode': '488242600', 'PhoneNumber': '5173555040', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MI07', 'ORG_UEI_NUM': 'R28EKN92ZTZ9', 'ORG_LGL_BUS_NAME': 'MICHIGAN STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'VJKZC4D1JN36'}

{'Name': 'Michigan State University', 'CityName': 'EAST LANSING', 'StateCode': 'MI', 'ZipCode': '488242600', 'StreetAddress': '426 AUDITORIUM RD RM 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MI07'}

[{'Code': '140300', 'Text': 'Proc Sys, Reac Eng & Mol Therm'}, {'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}, {'Code': '764400', 'Text': 'EchemS-Electrochemical Systems'}]

2024~19000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428804.xml'}

RAPID: Assessing Bridge Collapse Risk - Learning from the Francis Scott Key Bridge Collapse, Baltimore, Maryland, March 2024

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Joy Pauschke', 'PO_EMAI': 'jpauschk@nsf.gov', 'PO_PHON': '7032927024'}

The collapse of the Francis Scott Key Bridge in Baltimore, Maryland, on March 26, 2024, caused by a collision with an aberrant cargo ship, raises several urgent questions regarding the safety and protection of critical bridges in the United States. To assure the safety and protection of American bridges, the risk posed by the tremendous increase in shipping volume and ship sizes must be assessed. With the need to make decisions quickly to rebuild the Key Bridge and invest in retrofits and protections to existing critical bridges, there are billions of dollars in infrastructure investment at stake. These urgent investment decisions, to be considered by agencies such as the National Transportation Safety Board and Maryland State and Federal Highway Administrations, will benefit from accurate assessment of bridge collapse risk. The impetus to make these critical investments is perishable. To meet this pressing need, this grant for Rapid Response Research (RAPID) will estimate the annual probability that a bridge collapse inducing ship collision will occur and then will compare this probability to existing standards for bridge risk analysis and design. By estimating the annual probability of occurrence, the project will aim to provide vital insight into whether existing U.S. bridge infrastructure is vulnerable to similar collisions or whether the Key Bridge disaster was, in fact, a rare event. The project further will aim to assess the evolution of collision probabilities from the 1970s, when the Key Bridge was built, to modern day to observe how risk to critical bridges has changed over the past 50 years due to increasing ship traffic and the huge growth in vessel size, with a particular focus on estimating future risk to enable informed decision-making processes in both rebuilding and retrofitting efforts. <br/><br/>To estimate annual collision probabilities over time, the project will evaluate global ship Automatic Identification System (AIS) data to estimate the probability of large vessels aberrating from their course near a major U.S. bridge. These AIS data report heading, speed, destination, and status data for every ship globally in transit and provide an abundant stream of historical shipping data from which to assess aberrancy probability. Combining these aberrancy probabilities with estimates of shipping traffic in major American ports and near critical bridges will further allow the estimation of the time evolving collision probabilities for the Key Bridge and other critical bridges in the U.S. These estimates will be used to inform risk analysis for critical bridges by modeling ship collisions as a Poisson process and considering the economic impacts and potential loss of life associated with major bridge collapse. The project, therefore, will aim to answer the fundamental question of evolving bridge collapse risk in the United States to provide decision-makers with immediately actionable data as they prepare to invest in new bridges and bridge protections where needed, revise design standards and shipping practices if necessary, and reconsider risk tolerance in the wake of the Key Bridge disaster.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428805

[{'FirstName': 'Benjamin', 'LastName': 'Schafer', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Benjamin W Schafer', 'EmailAddress': 'schafer@jhu.edu', 'NSF_ID': '000399849', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Rachel', 'LastName': 'Sangree', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachel H Sangree', 'EmailAddress': 'sangree@jhu.edu', 'NSF_ID': '000530696', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Michael', 'LastName': 'Shields', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael D Shields', 'EmailAddress': 'michael.shields@jhu.edu', 'NSF_ID': '000652930', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

{'Code': '073Y00', 'Text': 'ECI-Engineering for Civil Infr'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428805.xml'}

Hilton Head Workshop 2024 (HH2024): A Solid-State Sensors, Actuators, and Microsystems Workshop; Hilton Head, South Carolina; 2-6 June 2024

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'Tom Kuech', 'PO_EMAI': 'tkuech@nsf.gov', 'PO_PHON': '7032922218'}

This grant will support travel of students and post-doctoral researchers who are US citizens or US permanent residents to attend the Hilton Head Workshop 2024 (HH2024): A Solid-State Sensors, Actuators, and Microsystems Workshop. Specifically, this grant enables the HH2024 organizing committee to support participation of diverse attendees with a focus on those underrepresented. The committee will select the awardees from the pool of high school, undergraduate and graduate students, and postdoctoral researchers who are the first or second authors of the accepted papers. HH2024 organizing committee will target awarding approximately 50 percent of the awards to women or underrepresented minorities. <br/><br/>The 21st in the series of Hilton Head Workshops (HH2024) on the science and technology of Solid-State Sensors, Actuators, and Microsystems will take place 2-6 June 2024 at the Sonesta Resort on Hilton Head Island, South Carolina. This exciting multidisciplinary event has occurred biennially since 1984, and this year the Hilton Head Workshop’s 40th anniversary will celebrate Micro-Electro-Mechanical Systems (MEMS) and microsystems successes over the past four decades. Additionally, participants will look ahead to the challenges and opportunities for the field to contribute to addressing national and global grand challenges in the next 40 years. The HH2024 Workshop is the prominent and top-tier conference in the field of microelectromechanical systems (MEMS) and Microsystems and related fields, and is expected to draw 350-500 academic, industry, and government participants from diverse engineering and scientific backgrounds, including chemistry, materials science, chemical engineering, electrical engineering, mechanical engineering, physics, biology, and bioengineering. This year’s workshop will have a focus on design, fabrication and manufacturing of emerging nano/microscale device and systems for sensing, actuation, and computing with broad impact on biomedical, energy, information processing and quantum technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/20/2024

06/20/2024

None

Grant

47.041

1

4900

4900

2428891

[{'FirstName': 'Roozbeh', 'LastName': 'Tabrizian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Roozbeh Tabrizian', 'EmailAddress': 'rtabrizian@ece.ufl.edu', 'NSF_ID': '000708957', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Farnaz', 'LastName': 'Niroui', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Farnaz Niroui', 'EmailAddress': 'fniroui@mit.edu', 'NSF_ID': '000798402', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'ZipCode': '326111941', 'PhoneNumber': '3523923516', 'StreetAddress': '1523 UNION RD RM 207', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'FL03', 'ORG_UEI_NUM': 'NNFQH1JAPEP3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF FLORIDA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Florida', 'CityName': 'GAINESVILLE', 'StateCode': 'FL', 'ZipCode': '326111941', 'StreetAddress': '1523 UNION RD RM 207', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'FL03'}

[{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}, {'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}]

2024~20067

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428891.xml'}

Collaborative Research: Deformation-Dependent Adhesion of Stretched Compliant Networked Polymer Systems

NSF

01/01/2024

03/31/2025

{'Value': 'Standard Grant'}

{'Code': '07030000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CMMI', 'LongName': 'Div Of Civil, Mechanical, & Manufact Inn'}}

{'SignBlockName': 'David Fyhrie', 'PO_EMAI': 'dfyhrie@nsf.gov', 'PO_PHON': '7032922107'}

This grant will focus on developing a fundamental understanding of how changing the shape of soft, adhesive materials -- for example, through stretching or compression -- modifies their adhesive properties. Modern theories of adhesion were originally developed to describe contact with relatively stiff materials like rubber, but much softer sticky materials are ubiquitous in biology, medicine, engineering, and everyday consumer products. Over the past decade, soft solid surface mechanics has emerged as an exciting new field of study, driven largely by the surprising discovery that classic theories fail to describe the contact behavior of compliant materials and that soft materials adhere very differently than their stiffer counterparts. Recent experiments, theory, and simulations have revealed a rich array of new physics and suggest a powerful new design space for engineering applications. The fundamental discoveries and materials developed through this research project will enable the development of new strain-controlled, responsive adhesives and will also involve student researchers at various stages of their educational careers from undergraduates to postdoctoral scholars. An “Adhesion Engineering Summer Camp” will be established to bring Williams College students to visit Purdue University each summer of the project.<br/><br/>The surface properties of compliant polymers have been shown to change as a function of bulk deformation in previously-unanticipated ways. While recent debates over the nature of strain-dependent surface stress in soft solids have motivated numerous experimental and theoretical studies, much less work has focused on strain-dependent adhesion. By performing measurements that directly investigate the normal adhesive response of compliant network polymer systems as a function of both quasi-static and dynamic deformation using integrated mechanical testing and direct imaging, this project will establish a fundamental understanding of how the adhesion of soft materials is modified by deformation across a broad range of length scales, time scales, and material properties. The interplay between strain, adhesion energy, network architecture, and material relaxation mechanisms will be investigated through the experimental, numerical, and theoretical work in this collaborative grant. The specific research objectives of the project will be to (i) quantify quasistatic adhesion to stretched, compliant network polymer systems across length scales and (ii) characterize the adhesive response of compliant networked polymer systems during dynamic deformation.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2428898

{'FirstName': 'Chelsea', 'LastName': 'Davis', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chelsea S Davis', 'EmailAddress': 'chelsead@udel.edu', 'NSF_ID': '000756031', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'ZipCode': '197160099', 'PhoneNumber': '3028312136', 'StreetAddress': '220 HULLIHEN HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Delaware', 'StateCode': 'DE', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DE00', 'ORG_UEI_NUM': 'T72NHKM259N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF DELAWARE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Delaware', 'CityName': 'NEWARK', 'StateCode': 'DE', 'ZipCode': '197160099', 'StreetAddress': 'NEWARK, DE 197160099', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Delaware', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DE00'}

{'Code': '163000', 'Text': 'Mechanics of Materials and Str'}

2022~272926

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428898.xml'}

I-Corps: Translation Potential of Digital Twin and Artificial Intelligence for Building Maintenance Management

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is the development of a scalable and adaptable technology utilizing digital twins and artificial intelligence (AI) to build maintenance management. The built environment accounts for approximately 45% of global carbon emissions and comprises almost 75% of building operating costs. Cutting-edge technologies such as digital twins and artificial intelligence (AI) are promising for synthesizing big data from sensors, automation systems, maintenance activities, and building occupancy. The proprietary technology of this I-Corps project will transform building operations and maintenance practices into a data-driven structure to predict possible failures and defects of critical building systems with simulations for risk scenarios. Together with the operational benefits, this technology will enhance occupant comfort, safety, and well-being, as well as improve the longevity, durability, and sustainability of the built environment. Overall, the technology will lead to buildings that are smarter and more responsive. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a technology for building maintenance management that utilizes a digital twin that connects various data resources such as building automation, controls, and sensors to maintenance management systems with artificial intelligence (AI) to predict possible failures and defects with simulations for risk scenarios. The technology enables the interoperability of various data sets and provides simulations of potential failures with risk scenarios such as cost, safety, and impact on critical systems. Predictive models improve efficiency by utilizing big data to uncover trends and anomalies that are obscured in manual observation methods. The combination of digital twin technology and AI opens a wide range of possibilities to visualize building information based on operational data. Action plans support the decision-making processes with effective resource allocation and reduced equipment downtime.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.084

1

4900

4900

2428909

{'FirstName': 'Deniz', 'LastName': 'Besiktepe', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Deniz Besiktepe', 'EmailAddress': 'denizb@purdue.edu', 'NSF_ID': '000937040', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'ZipCode': '479061332', 'PhoneNumber': '7654941055', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IN04', 'ORG_UEI_NUM': 'YRXVL4JYCEF5', 'ORG_LGL_BUS_NAME': 'PURDUE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'YRXVL4JYCEF5'}

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479072021', 'StreetAddress': '401 N. Grant Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428909.xml'}

RAPID: Sampling corals threatened by extreme El Nino warming for climate reconstruction (Galapagos, Ecuador)

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '06040200', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Gail Christeson', 'PO_EMAI': 'gchriste@nsf.gov', 'PO_PHON': '7032922952'}

This project supports the collection of coral samples from the Galapagos National Park, in Ecuador. The Galapagos are experiencing a period of exceptionally strong warm ocean temperatures, related to the phenomenon known as El Niño that recurs every few years. In the past, such warm conditions have resulted in widespread death of corals, followed by the erosion of those skeletons by other marine animals. The skeletons of the corals themselves are valuable for climate research: the chemistry of the skeleton reflects the conditions under which the coral grew, and the corals have persisted for several decades. This project will sample and analyze these coral skeletons for climate history before erosion can damage them. The samples from modern corals will be compared with fossil coral records from the same region to better understand how the El Niño phenomenon is responding to the warming of the global climate. Broader impacts include field experience for a graduate student, support for undergraduate research, and collaborations with a local student and Park ranger at the Galápagos National Park and Charles Darwin Research Station.<br/><br/>This RAPID project supports coral sampling in the central Galápagos archipelago, where an ongoing strong El Niño event threatens the preservation of coral-based climate records that are critical to quantify past and ongoing changes in El Niño/Southern Oscillation (ENSO) variability. Coral cores preserve quantitatively useful information about past climate variability in the geochemistry of their aragonite (CaCO3) skeletons. The Galápagos lie in the heart of the eastern equatorial Pacific where ENSO extremes create the largest sea surface temperature anomalies. The strong ENSO events of the late 20th century triggered massive coral mortality across the archipelago, e.g. >95% in 1982-3. The corals that have regrown over the past ~40 years contain valuable records of local sea surface temperature variability that are critically important to place paleoclimate records in context. These corals are likely to be stressed and degraded beyond the point of usefulness under the exceptionally warm conditions in Galápagos that has characterized the past several months (and is still ongoing). Previous work on Galapagos corals, both fossil and modern, documents unprecedented increases in ENSO intensity in the last 40 years, relative to the past millennium. Although the recent history of sea surface temperature from instrumental and satellite measures is known, modern coral records are needed to quantify the change over time and relate directly to fossil records. This project will also explore whether central Galapagos corals preserve a signal of ocean circulation – the isotopically distinct Equatorial Undercurrent. If detectable in coral data, this signal would add an important dynamical component to the interpretation of past change in ENSO variability. Coral paleoclimate results from the central archipelago that postdate the 1982 El Niño have never been published. The project trains a mid-career graduate student in field methods and will bring samples into a lab where undergraduates will gain experience in sampling and analyzing them. Project results in the Galápagos will be disseminated through broad channels, including public talks and Spanish-language presentations at the Galápagos National Park.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/24/2024

04/24/2024

None

Grant

47.050

1

4900

4900

2428926

{'FirstName': 'Julia', 'LastName': 'Cole', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia E Cole', 'EmailAddress': 'colejul@umich.edu', 'NSF_ID': '000298249', 'StartDate': '04/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'ZipCode': '481091079', 'PhoneNumber': '7347636438', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': 'GNJ7BBP73WE9', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Ann Arbor', 'CityName': 'ANN ARBOR', 'StateCode': 'MI', 'ZipCode': '481091079', 'StreetAddress': '1109 GEDDES AVE, SUITE 3300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '162000', 'Text': 'Marine Geology and Geophysics'}

2024~94686

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428926.xml'}

Characterization and Prediction of Viral Capsid Geometries

NSF

02/01/2024

08/31/2024

{'Value': 'Continuing Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Zhilan Feng', 'PO_EMAI': 'zfeng@nsf.gov', 'PO_PHON': '7032927523'}

Viruses are the most abundant biological entity on the planet and play a crucial role in the evolution of organisms and the biogeochemistry of Earth. Closely related viruses, however, can have very dissimilar genomes, complicating integration of knowledge acquired from the study of independent viruses, and limiting prediction of the characteristics and potential threats of emerging viruses. Viruses, however, conserve a few structural properties that could help circumvent this problem. Most viruses store their infective genetic material in a protein shell called a capsid. The capsid self-assembles from multiple copies of the same (or similar) proteins, and most capsids display icosahedral symmetry. This architecture optimizes the interaction of proteins and the volume available to store the viral genetic information. This research project hypothesizes that viruses have evolved a limited set of replication strategies to specialize and exploit the reduced number of geometrical templates capable of forming icosahedral capsids. This, in turn, may have constrained the number of three-dimensional configurations adopted by capsid proteins, providing a mechanistic rationale for the existence of viral structural lineages. This hypothesis will be tested by analyzing and comparing hundreds of viruses from multiple different viral families using novel mathematical methods. Confirming this hypothesis will offer a quantitative framework to study viral evolution and open the door to design of generic antiviral strategies targeting viruses in the same structural lineage.<br/><br/>Only ten protein folds have been identified among major capsid proteins of viruses that form icosahedral capsids. These folds define viral lineages that group viruses that can be genetically unrelated and infect hosts from different domains of life. This limited number of folds contrasts with the vast genetic diversity of viruses. The existence of these folds across the virosphere, however, remains unknown. Here, it is hypothesized that there is a direct relationship between the viral replication strategy of each viral lineage, the icosahedral lattice of the capsid, and the fold of capsid proteins. The hypothesis will be tested by developing a database that will include the viral replication, protein fold, and capsid lattice of five hundred viruses that have been reconstructed at high or medium molecular resolution. Voronoi tessellations and protein-protein interaction lattices will be obtained to identify computationally the icosahedral lattice associated to each virus. Additionally, molecular measurements of the reconstructed capsids will be obtained to establish allometric relationships for at least one viral lineage, facilitating the prediction of icosahedral capsid properties from genomic information. The new icosahedral framework will be also extended to obtain new sets of elongated capsids, which represent the second most abundant type of capsid. The methods will be disseminated online for use by viral structure researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/30/2024

05/30/2024

None

Grant

47.049

1

4900

4900

2428961

{'FirstName': 'Antoni', 'LastName': 'Luque', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Antoni Luque', 'EmailAddress': 'axl4306@miami.edu', 'NSF_ID': '000696155', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'ZipCode': '331462919', 'PhoneNumber': '3052843924', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_ORG': 'FL27', 'ORG_UEI_NUM': 'RQMFJGDTQ5V3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MIAMI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Miami', 'CityName': 'CORAL GABLES', 'StateCode': 'FL', 'ZipCode': '331462919', 'StreetAddress': '1320 SOUTH DIXIE HIGHWAY STE 650', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '27', 'CONGRESS_DISTRICT_PERF': 'FL27'}

{'Code': '733400', 'Text': 'MATHEMATICAL BIOLOGY'}

2022~22114

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428961.xml'}

2024 Colloidal Semiconductor Nanocrystals Gordon Research Conference and Gordon Research Seminar

NSF

05/01/2024

10/31/2024

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Robert Meulenberg', 'PO_EMAI': 'rmeulenb@nsf.gov', 'PO_PHON': '7032927106'}

Non-Technical Summary<br/><br/>The 2024 Gordon Research Seminar (GRS) and Gordon Research Conference (GRC) on Colloidal Semiconductor Nanocrystals will take place in early July 2024. These conferences aim to foster an interdisciplinary exchange among chemists, physicists, engineers, and other scientists to advance understanding and innovation in nanotechnology. By discussing emerging research and forming collaborative networks, the conferences will enhance scientific and technological developments in areas critical to national interests such as renewable energy, healthcare, and electronics. The GRC and GRS play an important role in nurturing the next generation of scientists, providing young researchers and postdocs with opportunities to present their work, engage in peer discussions, and gain exposure to the wider community of scientists working in the nanocrystal field. The GRC and GRS also aim to increase participation from underrepresented groups in nanoscience by providing an inclusive environment with opportunities for mentorship and selecting a diverse group of participants. The cutting-edge scientific developments discussed at these conferences have potential applications in a variety of areas including renewable energy, electronics, and disease detection and treatment.<br/><br/>Technical Summary<br/><br/>The field of colloidal semiconductor nanocrystals is flourishing at the frontiers of discovery in nanoscience and nanotechnology. This Gordon Research Conference (GRC) and Gordon Research Seminar (GRS) will focus on recent advances in understanding and controlling the chemistry, physics, and engineering of colloidal semiconductor nanocrystals and related nanostructures. The conference will bring together the community of chemists, physicists, materials scientists, spectroscopists, theoreticians, and engineers to discuss major advances, pressing challenges, and new directions, build collaborations, and foster the next generation of scholars in this vibrant interdisciplinary field. The two-day GRS program includes a keynote lecture, two poster sessions, and two sessions of talks by graduate students and postdocs selected from GRS applicant abstracts. The five-day GRC program features 34 invited talks. Additionally, the GRC program will have four poster sessions, where approximately 150 posters will be presented by conference applicants on topics related to colloidal semiconductor nanocrystals and related assemblies, fostering an open and vigorous exchange of ideas. The conference participants were chosen to emphasize the focus on innovative and transformative research in the field from a diverse group of scientists. The conference is structured to foster interactions between junior researchers and senior researchers and provide a stage for junior researchers to present their work to the nanocrystal scientific community. Nanocrystals have potential applications in a variety of areas such as renewable energy, electronics, disease detection and treatment, and so on. The access to cutting-edge unpublished results presented at this conference will accelerate scientific progress toward these societal goals.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.049

1

4900

4900

2428968

{'FirstName': 'Gordana', 'LastName': 'Dukovic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gordana Dukovic', 'EmailAddress': 'gordana.dukovic@colorado.edu', 'NSF_ID': '000554527', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '176200', 'Text': 'SOLID STATE & MATERIALS CHEMIS'}

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428968.xml'}

Conference: Betti Numbers in Commutative Algebra and Equivariant Homotopy Theory

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Tim Hodges', 'PO_EMAI': 'thodges@nsf.gov', 'PO_PHON': '7032925359'}

This award provides travel funding for US-based participants in the week-long workshop “Betti numbers in commutative algebra and equivariant homotopy theory” to be held September 23–27, 2024, at Bielefeld University, in Bielefeld, Germany. The workshop centers on a series of long-standing conjectures that appear in parallel in two major fields of mathematics. The goal of the workshop is to bring together researchers from these two fields to discuss recent advances on these conjectures. Another goal is to train more researchers to work on these important problems and help them build connections between the two fields. The overarching goal of this award would be to increase US participation in this highly active area of research, and to foster collaborations between US mathematicians and those from other countries. The funding is aimed especially at postdoctoral fellows and graduate students, as well as participants who do not have independent funding, to attend this workshop, and it will also be used to encourage participation by individuals from underrepresented groups in mathematics. A recent workshop held in Banff, Canada in 2022 initiated this goal, and funding for this event would cement the connections already made and build new ones for younger participants. The bridges we are building will not only connect researchers located in different countries but also between those working in different areas of mathematics.<br/><br/>Algebra and topology are thriving branches of mathematics that are well represented in most math departments. Commutative algebra, as the algebraic underpinnings of algebraic geometry, and algebraic topology, with its strong focus on homology and homotopy, have occasional significant overlap in both methods and aims. The goal is to create a strong working alliance between the groups working on these conjectures and related problems, and also to get younger researchers involved in these problems. In fact, total Betti numbers appear in related, decades-old rank conjectures in commutative algebra and equivariant topology. On the topological side, Halperin and Carlsson conjectured that the total Betti number of a compact space with a free torus action or p-torus action of rank r is bounded below by 2r, which has inspired much research on the topological side of spaces with a group action. On the algebraic side, Avramov conjectured a similar lower bound for the total Betti number of finite length modules over a local ring. Recent work of Walker and VandeBogert-Walker resolves this conjecture positively for rings of prime characteristic, whereas counterexamples to a stronger conjecture show the subtlety of the questions. The web site for the workshop is at https://www.math.uni-bielefeld.de/birep/meetings/betti2024/index.php and includes a full speaker list.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.049

1

4900

4900

2428995

{'FirstName': 'Claudia', 'LastName': 'Miller', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Claudia M Miller', 'EmailAddress': 'clamille@syr.edu', 'NSF_ID': '000258026', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'ZipCode': '132444407', 'PhoneNumber': '3154432807', 'StreetAddress': '900 S CROUSE AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_ORG': 'NY22', 'ORG_UEI_NUM': 'C4BXLBC11LC6', 'ORG_LGL_BUS_NAME': 'SYRACUSE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'StateCode': 'NY', 'ZipCode': '132440001', 'StreetAddress': '900 S CROUSE AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}

[{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}, {'Code': '126700', 'Text': 'TOPOLOGY'}]

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2428995.xml'}

Collaborative Research: NSF-NFRF: The Indigenous Peoples Observatory Network (IPON): The Climate-Food-Health Nexus

NSF

06/01/2024

05/31/2027

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Allen Pope', 'PO_EMAI': 'apope@nsf.gov', 'PO_PHON': '7032928030'}

Climate change, biodiversity loss, and land degradation are profound threats to Indigenous Peoples globally. These threats are rooted in discrimination, land dispossession, and colonization. The convergence and interaction of these stresses that affect health and well-being are primarily through the nexus with Indigenous food systems. Government policies often overlook and undermine Indigenous knowledge and practices, which underpin resilience across the nexus of food systems, health, and well-being. The Indigenous Peoples’ Observatory Network (IPON) transforms and rethinks our understanding of this nexus from the bottom up. It builds on multiple ways of knowing, including Indigenous knowledge and science, to strengthen community resilience to multiple stresses and support actions that benefit Indigenous Peoples. The project promotes the progress of science through transdisciplinary approaches that investigate the links among food, climate, and health. <br/><br/>This project will establish Indigenous observatories that include community leaders, Elders, and youth, along with decision makers and researchers from Indigenous communities worldwide, covering the United Nation's seven social cultural regions. The observatories will document, monitor, and examine how climate stressors interact with food systems, health, and well-being across partner regions and communities as they play out in real-time and across seasons. This will be done by recording the lived experiences, stories, responses, and observations of the affected people. The teams will work together to create knowledge and capacity that can be used to develop policies and actions that build on community strengths and address potential vulnerabilities. The observatories strengthen the capacity of Indigenous communities to document their knowledge about the links between climate, food, and health, and provide a space for dialogue with decision makers at regional, national, and global levels to determine necessary actions to build resilience. IPON's global scope provides a foundation for developing scalable insights that inform decision making and advocacy for our partners in United Nations and Indigenous organizations.<br/><br/>This is a project jointly funded by the U.S. National Science Foundation and the National Endowment for the Humanities, as well as funding agencies from Canada, Germany, and the United Kingdom via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition. This Competition allowed a single joint international proposal to be submitted and peer-reviewed by Canada. Upon successful joint determination of an award recommendation, each agency funds the proportion of the budget that supports scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/31/2024

05/31/2024

None

Grant

47.079

1

4900

4900

2429009

[{'FirstName': 'Eranga', 'LastName': 'Galappaththi', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eranga K Galappaththi', 'EmailAddress': 'eranga@vt.edu', 'NSF_ID': '000871609', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Carol', 'LastName': 'Zavaleta-Cortijo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carol Zavaleta-Cortijo', 'EmailAddress': 'carol.zavaleta.c@upch.pe', 'NSF_ID': '0000A056J', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'M515A1DKXAN8'}

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'StateCode': 'VA', 'ZipCode': '240603359', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

{'Code': '054Y00', 'Text': 'GVF - Global Venture Fund'}

2024~424251

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429009.xml'}

Collaborative Research: NSF-NFRF: The Indigenous Peoples Observatory Network (IPON): The Climate-Food-Health Nexus

NSF

06/01/2024

05/31/2027

{'Value': 'Standard Grant'}

{'Code': '01090000', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OISE', 'LongName': 'Office Of Internatl Science &Engineering'}}

{'SignBlockName': 'Allen Pope', 'PO_EMAI': 'apope@nsf.gov', 'PO_PHON': '7032928030'}

Climate change, biodiversity loss, and land degradation are profound threats to Indigenous Peoples globally. These threats are rooted in discrimination, land dispossession, and colonization. The convergence and interaction of these stresses that affect health and well-being are primarily through the nexus with Indigenous food systems. Government policies often overlook and undermine Indigenous knowledge and practices, which underpin resilience across the nexus of food systems, health, and well-being. The Indigenous Peoples’ Observatory Network (IPON) transforms and rethinks our understanding of this nexus from the bottom up. It builds on multiple ways of knowing, including Indigenous knowledge and science, to strengthen community resilience to multiple stresses and support actions that benefit Indigenous Peoples. The project promotes the progress of science through transdisciplinary approaches that investigate the links among food, climate, and health. <br/><br/>This project will establish Indigenous observatories that include community leaders, Elders, and youth, along with decision makers and researchers from Indigenous communities worldwide, covering the United Nation's seven social cultural regions. The observatories will document, monitor, and examine how climate stressors interact with food systems, health, and well-being across partner regions and communities as they play out in real-time and across seasons. This will be done by recording the lived experiences, stories, responses, and observations of the affected people. The teams will work together to create knowledge and capacity that can be used to develop policies and actions that build on community strengths and address potential vulnerabilities. The observatories strengthen the capacity of Indigenous communities to document their knowledge about the links between climate, food, and health, and provide a space for dialogue with decision makers at regional, national, and global levels to determine necessary actions to build resilience. IPON's global scope provides a foundation for developing scalable insights that inform decision making and advocacy for our partners in United Nations and Indigenous organizations.<br/><br/>This is a project jointly funded by the U.S. National Science Foundation and the National Endowment for the Humanities, as well as funding agencies from Canada, Germany, and the United Kingdom via the 2023 International Joint Initiative for Research on Climate Change Adaptation and Mitigation Competition. This Competition allowed a single joint international proposal to be submitted and peer-reviewed by Canada. Upon successful joint determination of an award recommendation, each agency funds the proportion of the budget that supports scientists at institutions in their respective countries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/31/2024

05/31/2024

None

Grant

47.079

1

4900

4900

2429010

{'FirstName': 'Guangqing', 'LastName': 'Chi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Guangqing Chi', 'EmailAddress': 'gchi@psu.edu', 'NSF_ID': '000537874', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'ZipCode': '168021503', 'PhoneNumber': '8148651372', 'StreetAddress': '201 OLD MAIN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'PA15', 'ORG_UEI_NUM': 'NPM2J7MSCF61', 'ORG_LGL_BUS_NAME': 'THE PENNSYLVANIA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Pennsylvania State Univ University Park', 'CityName': 'UNIVERSITY PARK', 'StateCode': 'PA', 'ZipCode': '168021503', 'StreetAddress': '201 OLD MAIN', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'PA15'}

{'Code': '729800', 'Text': 'International Research Collab'}

2024~225625

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429010.xml'}

Collaborative Research: Paleozoic echinoderms as model systems for the study of evolutionary modes

NSF

01/15/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Yurena Yanes', 'PO_EMAI': 'yyanes@nsf.gov', 'PO_PHON': '7032922649'}

Collaborative Research: Paleozoic echinoderms as model systems for the study of evolutionary modes <br/><br/>Unraveling the drivers of evolution in the fossil record is critical for understanding how organisms occupy new morphologic, ecologic, and geographic spaces. This information, gleaned from the geologic past across climate perturbations, is vital for understanding and predicting how evolution will operate across the biodiversity and climate crises today. The research team will focus on groups of ancient echinoderms, marine invertebrates (e.g., sea stars) that were globally widespread through Earth’s history. This group is vastly understudied and, as such, analyses conducted on the group will provide critical insight into animal response to Earth systems perturbations. New organismal forms appear through shifts in developmental timing, called heterochrony. What is unclear is how shifts in climate, organism biogeography, and ecology affect heterochronic shifts. This research uses a holistic approach via multiple analyses, addressing changes in ecology, biogeography, and heterochrony through extreme climate events that occurred hundreds of millions of years ago, to explore aspects of organisms’ evolutionary history and long-term consequences.<br/><br/>Database, museum, and literature data will be used jointly within phylogenetic frameworks to develop understanding of the evolutionary dynamics (i.e., changes in rates of evolution, heterochrony, biogeography, ecology) of extinct echinoderms. The chief merit of this research is the integration of multiple variables within a phylogenetic context to quantitatively understand broader patterns of evolution through abiotic change on Earth. This project will train the next generation of museum curators, educators, and researchers, and provide open-access information about echinoderms. Training will be conducted through undergraduate summer workshops on museum research techniques. Open access information about the echinoderm clades studied in this project will be published on the Digital Atlas of Ancient Life’s paleontology open access textbook. Echinoderm resources, created through this project and from previous works, will be collated on a WikiProject into one central hub for current and future echinoderm paleobiology researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/03/2024

05/31/2024

None

Grant

47.050

1

4900

4900

2429013

{'FirstName': 'Sarah', 'LastName': 'Sheffield', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sarah L Sheffield', 'EmailAddress': 'ssheffield2@usf.edu', 'NSF_ID': '000863566', 'StartDate': '05/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'ZipCode': '139024400', 'PhoneNumber': '6077776136', 'StreetAddress': '4400 VESTAL PKWY E', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'NQMVAAQUFU53', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'GMZUKXFDJMA9'}

{'Name': 'SUNY at Binghamton', 'CityName': 'BINGHAMTON', 'StateCode': 'NY', 'ZipCode': '139024400', 'StreetAddress': '4400 VESTAL PKWY E', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

{'Code': '745900', 'Text': 'Sedimentary Geo & Paleobiology'}

2023~296211

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429013.xml'}

Conference: International symposium on crystalline organic metals, superconductors, and magnets

NSF

06/15/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Elizabeth Mann', 'PO_EMAI': 'elmann@nsf.gov', 'PO_PHON': '7032922655'}

Non-technical Abstract: <br/><br/>This award partially supports the International Symposium on Crystalline Organic Metals, superconductors, and magnets (ISCOM), which will be held from September 22 - 27, 2024 in Anchorage, Alaska (USA). This is the 15th workshop in the ISCOM series which was started in 1995. Typically, these meetings alternate between Europe, Asia, and North America but has not been held in the United States since 2005. The symposium will balance theory and experiment with coverage of many contemporary issues. This symposium is designed to inspire new collaborations and provide opportunities for the education and growth of a diverse group of young people including via a student tutorial session before the main conference.<br/><br/>Technical Abstract:<br/><br/>This conference aims at advancing the fundamental understanding of molecular and molecule-based materials, which includes cutting edge topics in condensed matter physics such as non-equilibrium phenomena, particularly in high magnetic fields; molecular ferroelectrics multiferroics and chiral system; and competing interactions, electron correlations, and superconductivity in low-dimensional systems. A diverse set of US and international researchers present in the student tutorial and the technical sessions, with a priority on highlighting the work of young researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/04/2024

06/04/2024

None

Grant

47.049

1

4900

4900

2429014

{'FirstName': 'Janice', 'LastName': 'Musfeldt', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Janice L Musfeldt', 'EmailAddress': 'musfeldt@utk.edu', 'NSF_ID': '000388630', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'ZipCode': '379960001', 'PhoneNumber': '8659743466', 'StreetAddress': '201 ANDY HOLT TOWER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'TN02', 'ORG_UEI_NUM': 'FN2YCS2YAUW3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TENNESSEE', 'ORG_PRNT_UEI_NUM': 'LXG4F9K8YZK5'}

{'Name': 'University of Tennessee Knoxville', 'CityName': 'KNOXVILLE', 'StateCode': 'TN', 'ZipCode': '379960001', 'StreetAddress': '201 ANDY HOLT TOWER', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'TN02'}

{'Code': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}

2024~12600

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429014.xml'}

Collaborative Research: Ideas Lab: BLUES: Boundary Layer Under-ice Environmental Sensing

NSF

02/01/2024

09/30/2026

{'Value': 'Continuing Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Jenshan Lin', 'PO_EMAI': 'jenlin@nsf.gov', 'PO_PHON': '7032927360'}

Global climate change is driving all forms of ice to melt from the Earth’s surface and contribute to global sea-level rise. While evidence of ice melt is worldwide, such as decreasing sea-ice extent, loss of ice shelves in polar regions and a reduction in annual lake-ice coverage, ice melt rates are poorly quantified, resulting from limited field data and relatively coarse measurements of ice thickness. Ice thickness measurements, made by propagating acoustic signals through the ice, decrease in resolution as a function of the attenuation properties and overall ice thickness. Novel acoustic metamaterials will be used in this Ideas Lab: Engineering Technologies to Advance Underwater Sciences (ETAUS) project to develop a transformative technology tool that can provide long-range, high-resolution measurements of ice thickness and provide a new mechanism to image the internal structure of the ice. These high-resolution observations will be used to refine global estimates of ice melt by looking at changes through time. Initial testing and development will be conducted in a laboratory setting before validation on natural lake ice that is variable in its acoustic signal attenuation properties. In every phase, the development and experimental demonstration will be guided by numerical modeling. This developed instrument will be transformative in terms of scientific understanding of all forms of ice within the cryosphere from the Arctic to the Antarctic. While polar regions are at the forefront of climate change, they are also some of the least accessible areas of the planet and make it difficult for the public to engage. To this end, new educational materials will be developed with the help of the education and outreach team at the Tahoe Environmental Research Center, which will be used to help broaden public participation in lake science and engineering.<br/><br/>To effectively monitor and predict climate-related changes, a key scientific need in all disciplines of the under-ice scientific community is to accurately measure ice accretion and melt rates at the ice/water interface, then use that information to generate better models of under-ice water circulation and mixing. However, existing technologies are limited by their imaging capabilities, measurement resolutions, and bulky sizes, which hinder their applications for scientific discovery. To address these limitations, this project will develop a new metamaterial-enhanced acoustic phased array (MEAPA) system and to explore the application of this system for high-resolution estimations of ice melt. Graded index acoustic metamaterials will be investigated to provide improved focusing, beam steering, and collimation properties to achieve high-resolution imaging (subwavelength resolution) in thinner ice and to further enhance the detection range of the MEAPA system in thicker ice. The developed MEAPA system will be characterized and validated in laboratory and field settings. Then, it will be used to better parameterize bottom roughness, and the data will be coupled to boundary layer dynamics observations of lake ice in three-dimensional hydrodynamic models. Coupling the engineering development of this instrument with the scientific need of the polar ice community will inform subgrid processes of General Circulation Models (GCM) for polar regions. Ultimately, this system will enable us to better predict ice growth and melt with accurate models and to better quantify mass gain and loss from lake ice to ice shelves in Antarctica.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/29/2024

04/29/2024

None

Grant

47.041, 47.078

1

4900

4900

2429026

{'FirstName': 'Alexander', 'LastName': 'Michaud', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alexander B Michaud', 'EmailAddress': 'amichaud@bigelow.org', 'NSF_ID': '000708413', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'ZipCode': '432101016', 'PhoneNumber': '6146888735', 'StreetAddress': '1960 KENNY RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'DLWBSLWAJWR1', 'ORG_LGL_BUS_NAME': 'OHIO STATE UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': 'MN4MDDMN8529'}

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101016', 'StreetAddress': '1960 KENNY RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

[{'Code': '164700', 'Text': 'ANT Instrum & Facilities'}, {'Code': '220Y00', 'Text': 'ETAUS-EngTechUnderwaterSci'}]

2023~148002

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429026.xml'}

Conference: Vortex, Bessel, Airy and Other Exotic Wavefronts for Super-High-Capacity Wideband Millimeter-Wave and Terahertz Wireless Communications and Sensing

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Jenshan Lin', 'PO_EMAI': 'jenlin@nsf.gov', 'PO_PHON': '7032927360'}

The on-going research of the next-generation wireless systems and networks are exploring the massive bandwidth of the millimeter (mm)-wave (30 – 300 GHz) to terahertz (THz) frequency bands. Establishing robust communication links at such high frequencies is challenging due to limited power of transmitting signal sources, high path loss of electromagnetic (EM) wave propagation, and susceptibility to signal blockage. These challenges can potentially be mitigated through large aperture antennas, transmissive metasurfaces, and intelligent reflecting surfaces. These large EM apertures extend the range of their near-field regions, and thus stimulated interest in studying near-field wireless communications, especially in the radiated near-field region. While the waveform design focuses on "what" information the signal contains, the wavefront engineering manipulates "how" the signal propagates. This workshop brings together experts from various research areas, including electromagnetics, antennas, communications, integrated circuits, and Artificial Intelligence (AI) / Machine Learning (ML), to conduct brainstorming, idea vetting, discussion, and planning for joint studies on how wavefront engineering can be leveraged to truly bring an unprecedented breakthrough in future wireless systems and networks.<br/><br/>The objective of this two-day workshop is to conduct a deep dive into the needs and requirements of developing super-high-capacity wideband wireless communications and sensing applications using mm-wave and THz bands in radiated near-field region for future wireless systems and networks. Different from conventional plane-wave signals, signal generation and propagation with exotic wavefronts such as vortex beams, Bessel beams, and Airy beams will be explored. The workshop will feature several invited presentations covering a wide range of aspects needed for this emerging research field, including electromagnetics, antennas, devices, integrated circuits, communication systems, and networks. The workshop is expected to stimulate research collaborations among participants from academic institutions and wireless industry across multiple expertise areas. The workshop will involve undergraduate and graduate students, especially those from underrepresented minority groups in STEM. The presentations will be disseminated through a public website. The outcome of this workshop is expected to contribute to advancing knowledge in this emerging research field that can benefit the future generations of wireless systems and networks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/18/2024

06/18/2024

None

Grant

47.041

1

4900

4900

2429031

[{'FirstName': 'Habarakada', 'LastName': 'Madanayake', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Habarakada L Madanayake', 'EmailAddress': 'amadanay@fiu.edu', 'NSF_ID': '000577849', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Arjun', 'LastName': 'Singh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arjun Singh', 'EmailAddress': 'singha8@sunypoly.edu', 'NSF_ID': '000882703', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'SUNY Polytechnic Institute', 'CityName': 'ALBANY', 'ZipCode': '122033613', 'PhoneNumber': '5184378689', 'StreetAddress': '257 FULLER RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'CDAQNZCL6287', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SUNY Polytechnic Institute', 'CityName': 'Utica', 'StateCode': 'NY', 'ZipCode': '135021311', 'StreetAddress': '100 Seymour Road', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_PERF': 'NY22'}

{'Code': '756400', 'Text': 'CCSS-Comms Circuits & Sens Sys'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429031.xml'}

I-Corps: Translation Potential of an Energy Resilience Algorithm for Power Management

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': 'rshuman@nsf.gov', 'PO_PHON': '7032922160'}

The broader impact of this I-Corps project is the development of an algorithm to enhance the survivability of power systems against disruptions such as natural disasters. Currently, natural disasters are escalating and enhancing the resilience of power grids may help to minimize social and economic disruptions when the grid fails. This technology is designed to identify power lines and zones that, if compromised, would have the most significant impact. This knowledge may allow power companies to optimize their investments in grid resilience, while municipalities are better able to prepare for and respond to power outages. In addition, the technology may be adapted from individual homes to utility networks, which may minimize the impacts of outages and contribute to sustainable energy practices. The goal is to improve the resilience of power grids, ensuring a more stable and consistent energy supply. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The technology is based on the development of an advanced control algorithm that employs model-free learning methods to manage and optimize power systems during both the planning and operational phases. The research underpinning this project has led to the creation of a system that can dynamically manage energy resources, particularly renewables and storage solutions, to effectively respond to changing conditions to maintain grid stability. The technology integrates smart planning and operation algorithms into power systems and disaster relief microgrids. The technology has been prototyped and tested within a research lab setting, demonstrating its potential effectiveness and versatility in enhancing power system resilience. These capabilities may potentially advance smart grid technology and transform the way energy resilience is approached in the face of increasing natural disasters.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2429040

{'FirstName': 'Farzad', 'LastName': 'Ferdowsi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Farzad Ferdowsi', 'EmailAddress': 'farzad.ferdowsi@louisiana.edu', 'NSF_ID': '000789820', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Louisiana at Lafayette', 'CityName': 'LAFAYETTE', 'ZipCode': '705032014', 'PhoneNumber': '3374825811', 'StreetAddress': '104 E UNIVERSITY AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'LA03', 'ORG_UEI_NUM': 'C169K7T4QZ96', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF LOUISIANA AT LAFAYETTE', 'ORG_PRNT_UEI_NUM': 'C169K7T4QZ96'}

{'Name': 'University of Louisiana at Lafayette', 'CityName': 'LAFAYETTE', 'StateCode': 'LA', 'ZipCode': '705032014', 'StreetAddress': '104 E UNIVERSITY AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'LA03'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429040.xml'}

NSF Trainee Travel Grant for the 2024 International Conference on DNA Computing and Molecular Programming (DNA30)

NSF

09/01/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Stephanie Gage', 'PO_EMAI': 'sgage@nsf.gov', 'PO_PHON': '7032924748'}

The 30th International Conference on DNA Computing and Molecular Programming (DNA30) is the premier forum where scientists come together to advance molecular-scale engineering and biology. This interdisciplinary conference bridges computation, biology, and nanotechnology and attracts top researchers in the fields of computer science, mathematics, chemistry, molecular biology, and engineering. This support will give a new generation of molecular programming researchers the opportunity to present their work and interact with students and senior researchers from other institutions. The scope of topics include: control of molecular folding and self-assembly of nano- and micro-structures; demonstration of biomolecular switches and circuits that process chemical information in vitro and in cells; molecular motors and molecular robots; studies of fault-tolerance and error correction in molecular self-assembly and molecular computation; synthetic biology and molecular evolution; DNA data storage; and software tools for analysis, simulation, and design of molecular structures and circuits. These topics have applications spanning engineering, physics, chemistry, biology, medicine, and education.<br/><br/>DNA30 will be held at Johns Hopkins University in Baltimore, MD on September 16-20, 2024. Conference organizers will support travel of up to 25 students and post-doctoral researchers who are either US citizens or enrolled at US institutions. Trainees who plan to present their work at the conference will be prioritized for awards and especially those from institutions that would otherwise be unable to afford conference attendance and members of groups underrepresented in STEM research. The awards will support registration, travel, and accommodations for students. The availability of this support will foster diverse conference attendance, fostering the unique perspectives required to advance human knowledge and develop new technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/12/2024

06/12/2024

None

Grant

47.070

1

4900

4900

2429041

{'FirstName': 'Rebecca', 'LastName': 'Schulman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca Schulman', 'EmailAddress': 'schulman.rk@gmail.com', 'NSF_ID': '000599828', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'ZipCode': '212182608', 'PhoneNumber': '4439971898', 'StreetAddress': '3400 N CHARLES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'FTMTDMBR29C7', 'ORG_LGL_BUS_NAME': 'THE JOHNS HOPKINS UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Johns Hopkins University', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212182608', 'StreetAddress': '3400 N CHARLES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

{'Code': '089Y00', 'Text': 'FET-Fndtns of Emerging Tech'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429041.xml'}

IntBIO COLLABORATIVE RESEARCH: Integrating trait diversity across hierarchical scales to predict biological resilience in an era of extreme environmental change

NSF

02/15/2024

09/30/2026

{'Value': 'Standard Grant'}

{'Code': '08010000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DEB', 'LongName': 'Division Of Environmental Biology'}}

{'SignBlockName': 'Jason West', 'PO_EMAI': 'jwest@nsf.gov', 'PO_PHON': '7032927410'}

Extreme climate events, such as drought or wildfire, may occur in high frequency and/or in tandem. These extremes are likely to occur more frequently over the coming decades and will likely have more severe effects on natural and human landscapes than when extreme events occur alone. Many parts of southern Africa suffered the effects of compound extremes in 2015 and 2016 when drought and heavy wildlife use caused substantial declines in vegetative cover and mass wildlife mortality in national parks. Many areas are yet to fully recover. Ecosystem recovery after compound extremes is critical for maintaining important services that landscapes provide, such as wildlife habitat, food production, and carbon storage. The mechanisms behind recovery after extreme events are not well understood, although there is mounting evidence that the diversity of organisms (i.e., biodiversity) within ecosystems may be key. This award will experimentally impose compound extremes in a South African savanna and incorporate measured outcomes into computer models to understand how diversity of plant life controls ecosystem recovery after compound extremes. The information and tools created by this project will be important for land managers and policy makers to maximize the recovery potential of public and private lands through the promotion of biodiversity. Additionally, this project will provide important training and education opportunities for a diverse assemblage of people (local South African stakeholders, high school, undergraduate and graduate students, and postdoctoral scholars), and will prioritize advancement of diversity, equity, and inclusion in the sciences.<br/><br/>Currently, the importance of biodiversity for ecosystem recovery (i.e., resilience) is recognized at the community level, but the mechanisms underlying species diversity that can extend these concepts to other spatial and hierarchical scales are not well understood. Organismal traits provide a useful framework for understanding these mechanisms because the coordination of physiological, morphological, and anatomical characteristics determine the response of individuals to their environment; this facilitates scaling from organisms to populations, communities, and ecosystems using first principles. This study will first extend biodiversity-resilience ideas beyond simple species diversity by using methods to examine diversity of plant traits (e.g., functional dispersion). Second, it will scale biodiversity-resilience relationships from individual organisms, through populations and communities, to entire ecosystems. To these ends, this project will experimentally impose extreme drought, extreme grazing, and extreme fire, singly and in combination, in a South African savanna and determine (1) diversity of functional traits before, during, and after treatments to link with (2) responses of individuals, populations, communities, and the ecosystem during and after treatments. Empirical data will then be used to parameterize and benchmark a mechanistic demographic vegetation model to expand the inference of these effects to longer time frames and a wider range of biodiversity scenarios. The three overarching questions this project will address are: (1) How does diversity at different hierarchical scales control resilience of biological function after perturbations? (2) How do perturbations affect biodiversity at multiple hierarchical scales? (3) How does diversity and resilience change with frequency and compound perturbations?<br/><br/>This project is jointly funded by Emerging Frontiers in the Directorate for Biological Sciences and the Established Program to Stimulate Competitive Research (EPSCoR).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

04/22/2024

None

Grant

47.074, 47.083

1

4900

4900

2429043

{'FirstName': 'Kevin', 'LastName': 'Wilcox', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin R Wilcox', 'EmailAddress': 'k_wilcox@uncg.edu', 'NSF_ID': '000744574', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of North Carolina Greensboro', 'CityName': 'GREENSBORO', 'ZipCode': '274125068', 'PhoneNumber': '3363345878', 'StreetAddress': '1000 SPRING GARDEN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'NC06', 'ORG_UEI_NUM': 'C13DF16LC3H4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT GREENSBORO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of North Carolina Greensboro', 'CityName': 'GREENSBORO', 'StateCode': 'NC', 'ZipCode': '274125068', 'StreetAddress': '1000 SPRING GARDEN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'NC06'}

[{'Code': '727500', 'Text': 'Cross-BIO Activities'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

2021~562238

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429043.xml'}

Travel: NSF Student Travel Grant for 2024 ACM/IEEE International Symposium on Machine Learning for Computer-aided Design (MLCAD 2024)

NSF

06/15/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '05010000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'CCF', 'LongName': 'Division of Computing and Communication Foundations'}}

{'SignBlockName': 'Hu, X. Sharon', 'PO_EMAI': 'xhu@nsf.gov', 'PO_PHON': '7032928910'}

This project aims to broaden U.S. student participation at the International Symposium on Machine Learning for Computer-aided Design (MLCAD), which has evolved significantly since 2019. The symposium is dedicated to exploring Machine Learning (ML) across all facets of Computer-aided Design (CAD) and electronic system design, jointly sponsored by the Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE). Over the last six years, MLCAD has built on its successes each year, growing in attendance and the richness of discussions, making it a crucial event for both academia and industry in the domain of machine learning for electronic design automation (EDA). Funding of this proposal will not only enhance scientific discovery in areas of ML and EDA, but also broaden the impact of this interdisciplinary research field by increasing U.S. undergraduate and graduate student participation. This travel grant will provide students the opportunity to engage with leading experts in EDA and chip design by presenting their results at the conference proceedings, special sessions, and poster sessions. It will provide an exceptional opportunity for them to immerse themselves in cutting-edge research, as presentations and discussions happening in a small sized and focused group of researchers and engineers. This will be crucial for students' career development, allowing them to connect with potential mentors, collaborators, and perspective employers. <br/><br/>MLCAD has become a new leading and focused conference event on advancing cutting-edge interdisciplinary research between Machine Learning (ML) and electronic design automation (EDA). MLCAD 2024 will be the sixth MLCAD event and will be soliciting refereed conference papers, special sessions, industrial sessions, and poster session, along with an industry sponsored networking event. The focused topics will include Large Language Model for CAD, ML approaches to logic and physical design, ML for power and thermal management, ML for verification and manufacturing test, etc. This travel award will prioritize U.S. undergraduate and graduate students who are coauthors of an accepted paper or poster at MLCAD 2024, including members of underrepresented groups, and who do not have alternative funding sources to attend MLCAD 2024. Each travel award application will be reviewed by a selection committee of at least three members, based on academic merit, relevance of their research focus to the conference, and the financial feasibility.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/13/2024

06/13/2024

None

Grant

47.070

1

4900

4900

2429064

{'FirstName': 'Cunxi', 'LastName': 'Yu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cunxi Yu', 'EmailAddress': 'cunxiyu@umd.edu', 'NSF_ID': '000815565', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

{'Code': '779800', 'Text': 'Software & Hardware Foundation'}

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429064.xml'}

I-Corps: Translation Potential of Extreme Textiles

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of a nanomaterial assembly technology for enhancing the functionality of polymers and textiles. This innovative approach addresses a critical need for sustainable and non-toxic methods in the textile industry. By enabling advanced features such as fire retardancy, antimicrobial properties, and health monitoring capabilities without compromising the mechanical strength of textiles, this technology can significantly impact various sectors, including healthcare, environmental monitoring, and consumer goods. The potential applications range from smart textiles in wearable technology, eco-friendly industrial materials, and flexible electronics to meet the growing demand for sustainable and high-performance products. This technology could also reduce environmental pollution and health risks associated with traditional textile treatments, fostering a safer and more sustainable industry.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an eco-friendly nanomaterial assembly technology for precise and durable functionalization of polymer substrates and textiles. The technology utilizes a water-based, non-destructive process to deposit nanomaterials onto hydrophobic and chemically inert surfaces, ensuring the retention of the substrate’s or textile's inherent properties. Thus far, research has demonstrated the technology's effectiveness in adding multiple functionalities to textiles while maintaining their strength and flexibility. Technical results have shown successful applications in various textile types, paving the way for scalable and commercially viable production methods. The project aims to validate the market potential of this technology through extensive customer discovery and develop a robust business model to bring this innovative solution to market.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.084

1

4900

4900

2429097

{'FirstName': 'Bo', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bo Li', 'EmailAddress': 'bo.li@villanova.edu', 'NSF_ID': '000757023', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Villanova University', 'CityName': 'VILLANOVA', 'ZipCode': '190851603', 'PhoneNumber': '6105194220', 'StreetAddress': '800 E LANCASTER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'PA05', 'ORG_UEI_NUM': 'EYNYSU6L8ZX6', 'ORG_LGL_BUS_NAME': 'VILLANOVA UNIVERSITY IN THE STATE OF PENNSYLVANIA', 'ORG_PRNT_UEI_NUM': 'HJEPRMTQMMR4'}

{'Name': 'Villanova University', 'CityName': 'VILLANOVA', 'StateCode': 'PA', 'ZipCode': '190851603', 'StreetAddress': '800 E LANCASTER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'PA05'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429097.xml'}

PFI–TT: Intelligent Software Refactoring Bot for Continuous Integration

NSF

10/01/2023

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Samir M. Iqbal', 'PO_EMAI': 'smiqbal@nsf.gov', 'PO_PHON': '7032927529'}

The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project focuses on issues of economic impact: improvement of the software and systems that underpin our national infrastructure. By adopting the proposed technology, software development teams may avoid critical quality and security issues. This intelligent refactoring technology enables organizations to better maintain their software as it ages and better align their maintenance efforts with their priorities. This innovation seeks to deliver continuous will also provide training opportunities for students in technological innovation and entrepreneurship. <br/><br/>This project focuses on developing scalable methods to determine when and how to integrate developer feedback to semi-automate code refactoring for continuous integration environments while adhering to industry standards to align the effort with their commercialization objectives. Software refactoring is recognized as the key component for maintaining high quality software by restructuring existing code and reducing technical debt. Refactoring requires programmers to review, detect, and fix quality issues to improve software performance. However, refactoring is difficult to achieve and often neglected not only due to a pressure to meet release deadlines, but also due to the constraints imposed by manual refactoring as well as lack of technical skill in restructuring complex systems. The traditional root-canal refactoring process is not practical since it is time consuming and hard to integrate in the development pipelines. Hence, new refactoring tool must deliver timely support for code repair. The goal of this technology is to clearly exhibit the feasibility of combining interactive, semi-automated, refactoring technology with continuous integration via an artificial intelligence-based bot and demonstrate the implemented concept at large-scale. The effort will also support multiple programming languages including quantitative (such as accuracy, relevance, and performance) and qualitative (such as programmers' comments) aspects.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/12/2024

06/12/2024

None

Grant

47.041, 47.084

1

4900

4900

2429117

{'FirstName': 'Marouane', 'LastName': 'Kessentini', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marouane Kessentini', 'EmailAddress': 'marouane@umich.edu', 'NSF_ID': '000636346', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Michigan - Flint', 'CityName': 'FLINT', 'ZipCode': '485021907', 'PhoneNumber': '3137623000', 'StreetAddress': '303 E KEARSLEY ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MI08', 'ORG_UEI_NUM': 'L8QSLB2KCRE5', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF MICHIGAN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Michigan - Flint', 'CityName': 'FLINT', 'StateCode': 'MI', 'ZipCode': '485021907', 'StreetAddress': '303 E KEARSLEY ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'MI08'}

[{'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '166200', 'Text': 'PFI-Partnrships for Innovation'}]

['2021~156783', '2022~54133']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429117.xml'}

Northeastern Systems and Control Workshop, May 4, 2024

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}

{'SignBlockName': 'Eyad Abed', 'PO_EMAI': 'eabed@nsf.gov', 'PO_PHON': '7032922303'}

This award will support students from institutions of higher learning in the United States to participate in the Northeastern Systems and Control Workshop (NECSW), to be held at the University of Pennsylvania on May 4, 2024. The workshop aims to provide a forum for systems and control researchers in the Northeastern United States to present their work, and to interact with graduate students, post-doctoral scholars, and faculty in an informal and collaborative setting. This will be the inaugural edition of the workshop. To promote interaction and community building, NESCW will be hosted by a different institution in the Northeast region each year. The workshop will include both oral and poster sessions. Importantly, and keeping in theme of providing visibility to junior researchers, all talks and poster presentations will be by students and postdoctoral scholars. The workshop will conclude with a social event and debate among leading researchers in the field on “hot topics” in systems and control research, that should be of interest to all members of the community. The workshop will help foster new relationships and collaborations across systems and control researchers in the Northeast region. Areas of research represented in confirmed registrants include dynamics, control, optimization, machine learning, robotics, interdisciplinary work at the intersections of these areas, and applications. All of these areas are of critical interest to the nation’s research enterprise.<br/><br/>This workshop will promote inclusion, STEM education, and partnerships. Inclusion is a main focus of the workshop, which is aimed at providing visibility and networking opportunities to junior researchers in the field, with a particular emphasis on women, persons with disabilities, and underrepresented minorities in STEM. By providing students and postdoctoral scholars the opportunity to communicate their work through presentations (via poster sessions and talks), the workshop will contribute to strengthening their technical communication and collaboration skills. Finally, through outreach and participation with industry, the workshop will promote building new partnerships between academia, industry, and government laboratories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/03/2024

06/03/2024

None

Grant

47.041

1

4900

4900

2429166

{'FirstName': 'Nikolai', 'LastName': 'Matni', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nikolai Matni', 'EmailAddress': 'nmatni@seas.upenn.edu', 'NSF_ID': '000825958', 'StartDate': '06/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'ZipCode': '191046205', 'PhoneNumber': '2158987293', 'StreetAddress': '3451 WALNUT ST STE 440A', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'PA03', 'ORG_UEI_NUM': 'GM1XX56LEP58', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA, THE', 'ORG_PRNT_UEI_NUM': 'GM1XX56LEP58'}

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046243', 'StreetAddress': '3330 Walnut Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '760700', 'Text': 'EPCN-Energy-Power-Ctrl-Netwrks'}

2024~12000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429166.xml'}

Conference: 2024 Biomineralization Gordon Research Conference and Seminar

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Nitsa Rosenzweig', 'PO_EMAI': 'nirosenz@nsf.gov', 'PO_PHON': '7032927256'}

Non-technical Abstract<br/><br/>The 2024 Gordon Research Conference (GRC) on Biomineralization (‘Revealing the Unifying Principles of Biomineralization through Model Systems’) and the associated Gordon Research Seminar (GRS: ‘Mineralization Pathways and Principles’) are being held at Colby Sawyer College in New London, New Hampshire on August 3-4 and 4-9, 2024, respectively. These conferences will bring together early career and established scientists from around the globe with multidisciplinary backgrounds and diverse expertise to bridge the relevant scientific disciplines required for understanding the formation, function, environmental impact, and applications of biominerals. Together the GRC and GRS will create a supportive and open community that fosters fruitful interactions among graduate students, postdoctoral fellows, and early career investigators with established scientists. To this end, the conference brings together scientists from academia, national laboratories, and industry to discuss the latest advances and challenges in Biomineralization.<br/><br/><br/>Technical Abstract<br/><br/>With support from the Biomaterials program, the organizers of the 2024 Gordon Research Seminar and Conference on Biomineralization will provide scholarships for students and postdoctoral to participate in the conference and join the "Biomineralization" community. A particular focus of the conference will be on unveiling fundamental biomineralization mechanisms that have been preserved through evolutionary times and understand how they have been adapted to fulfill a multitude of biological functions in a large variety of organisms. This year, the conference will address three specific areas: (i) identifying universal scientific principles and mechanisms that are common to biomineralization processes in evolutionary diverse organisms, (ii) identifying the most advanced in vitro and in vivo model systems, as well as state-of-the-art analytical technologies to study biomineralization mechanisms across scales, and (iii) exploring scientific principles for the purpose of translational research. Oral sessions will highlight new developments studying the main biominerals (Ca-carbonates, Ca-phosphates, SiO2, Fe3O4), from single-celled prokaryotic and eukaryotic organisms to increasingly complex multicellular invertebrates and finally vertebrate animals and humans.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.049

1

4900

4900

2429234

{'FirstName': 'Lara', 'LastName': 'Estroff', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lara A Estroff', 'EmailAddress': 'lae37@cornell.edu', 'NSF_ID': '000241672', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '762300', 'Text': 'BIOMATERIALS PROGRAM'}

2024~4080

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429234.xml'}

CAREER: Geometric Quantum Order: Fractons, Tensor Gauge Theories and Beyond

NSF

07/01/2024

06/30/2026

{'Value': 'Continuing Grant'}

{'Code': '03070000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMR', 'LongName': 'Division Of Materials Research'}}

{'SignBlockName': 'Daryl Hess', 'PO_EMAI': 'dhess@nsf.gov', 'PO_PHON': '7032924942'}

NONTECHNICAL SUMMARY<br/>This CAREER award supports joint theoretical research and education to advance the theoretical foundations of condensed matter physics. Condensed matter physics concerns itself with systems composed of a large number of interacting constituents. Materials are a common example as they contain many atoms and many electrons. It is common to think of such complex systems not in terms of the individual constituents, but rather in terms of properties that emerge from their collective behavior. The concept of phases of matter is an important example of a collective property. Systems that show the same phase have similar properties. Ferromagnets have the collective property that the constituent atoms or electrons align in such a way that the magnetic axis of each one points in the same direction. Ferromagnets made of different materials are all ferromagnets. However, a ferromagnet is qualitatively different from an antiferromagnetic phase in which the magnetic axis of one atom points in the direction opposite that of its neighbor. So, systems that belong to the same phase have similar qualitative properties, while systems that belong to different phases have different properties. When quantum mechanics mingles with strong interactions among constituents very strange phases can emerge, such as the topological phases of the fractional quantum Hall effect; the latter occurs when electrons confined to a two-dimension plane by semiconductors are exposed to an intense magnetic field.<br/><br/>Recently proposed fracton phases of matter are another turning point in this development. These phases have the interesting and distinct property of being hypersensitive to the geometry of the underlying material, for example the way atoms are organized on a lattice, as well as the presence of geometric distortions of the lattice. The PI will undertake a careful study and characterization of these phases, which necessitates the development new concepts and new theoretical tools. New tools will help advance understanding of the physical properties of fracton phases as well as suggest routes for experimental detection of fractions in materials. This is fundamental research; however, fractons could play an important role in developing quantum memory, and suggest new ways to think about quantum computing. Finally, it is already becoming clear that some fracton phenomena may have been discovered long ago in superfluids and liquid crystals, without realizing that these are but a page of a much bigger story. The PI will utilize the new techniques developed in the fracton context to gain new insights into the problems of vortices in superconductors, turbulence, and quantum liquid crystals.<br/><br/>The education component of this CAREER project includes training undergraduate and graduate students. Students will explore how to use machine learning methods to gain insight into theoretical problems. The PI will participate in global efforts to increase diversity in physics through mentoring undergraduate students who are members of underrepresented groups leveraging American Physical Society initiatives. The PI will engage in outreach in local high schools by participating in career days and encouraging students to study science. PI will develop a course aimed at undergraduate and graduate students that will focus on applications of condensed matter physics ideas to deep neural networks.<br/> <br/>TECHNICAL SUMMARY<br/>This CAREER award supports joint theoretical research and education to advance the theoretical foundations of strongly correlated topological and geometric phases of matter. The project is focused on the physics of systems that support emergent fracton excitations. These excitations possess two remarkable properties: (i) they are topologically non-trivial and (ii) they cannot freely move through space. The constraints on their motion arise dynamically, while the underlying physical system is translation invariant. <br/><br/>More concretely the research concentrated on three major efforts. (i) Fracton excitations can emerge in gapless correlated spin liquids. The PI will explore how the existence of these excitations affects observable properties of these systems. (ii) The constrained mobility of fracton excitations can be formally imposed by introducing additional symmetries. The variety of all possible mobility constraints roughly corresponds to all possible symmetries of this kind. The PI will develop a general theory of such symmetries and their manifestation in low energy properties of the physical systems constrained by these symmetries. (iii) A particular form of fracton behavior is already present in well-known systems such as superfluids, liquid crystals and quantum Hall states, where vortices, crystalline defects and composite fermions have a subtle version of constrained motion. The PI will investigate this tantalizing connection with the expectation that fracton machinery will provide a fresh look at these systems.<br/> <br/>The education component of this CAREER project includes training undergraduate and graduate students. Students will explore how to use machine learning methods to gain insight into theoretical problems. The PI will participate in global efforts to increase diversity in physics through mentoring undergraduate students who are members of underrepresented groups leveraging American Physical Society initiatives. The PI will engage in outreach in local high schools by participating in career days and encouraging students to study science. PI will develop a course aimed at undergraduate and graduate students that will focus on applications of condensed matter physics ideas to deep neural networks.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/26/2024

06/26/2024

None

Grant

47.049

1

4900

4900

2429246

{'FirstName': 'Andrey', 'LastName': 'Gromov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrey Gromov', 'EmailAddress': 'andrey@umd.edu', 'NSF_ID': '000833383', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'ZipCode': '207425100', 'PhoneNumber': '3014056269', 'StreetAddress': '3112 LEE BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MD04', 'ORG_UEI_NUM': 'NPU8ULVAAS23', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND, COLLEGE PARK', 'ORG_PRNT_UEI_NUM': 'NPU8ULVAAS23'}

{'Name': 'University of Maryland, College Park', 'CityName': 'COLLEGE PARK', 'StateCode': 'MD', 'ZipCode': '207425100', 'StreetAddress': '3112 LEE BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

[{'Code': '171200', 'Text': 'DMR SHORT TERM SUPPORT'}, {'Code': '176500', 'Text': 'CONDENSED MATTER & MAT THEORY'}]

['2021~113409', '2023~351425']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429246.xml'}

Conference: Building Collaborations in the Study of Polarization

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}

{'SignBlockName': 'Brian Crisp', 'PO_EMAI': 'bcrisp@nsf.gov', 'PO_PHON': '7032927951'}

Part 1:<br/>This conference will focus on ways to integrate mass-level theories of polarization with institutional theories of legislative behavior and organization. By facilitating collaboration between them this project aims to expand and refine existing theoretical approaches to assess how constituency-level factors affect polarization within the legislature, and how that, in turn, influences legislative behavior and outcomes. The project will integrate important changes in findings about the electorate into institutional theories of legislative politics and behavior. The conference will lead to a better understanding of the nature and consequences of legislative politics in an increasingly polarized world. The effort to integrate mass-level theories of polarization into institutional theories of legislative behavior holds the potential to account for the institutional implications arising from significant changes in constituency-based elements of partisanship. the participant list includes scholars from a range of institution types, ranging from non-PhD granting, teaching-focused institutions to highly selective private and flagship state PhD granting institutions. Additionally, half of the invitees are women. The PIs will seek to include graduate students, and potentially, undergraduate students in the research endeavor, by encouraging the invited participants to identify students whose research interests mesh with the project description.<br/><br/>Part 2: <br/>This conference will focus on ways to integrate mass-level theories of polarization with institutional theories of legislative behavior and organization. By facilitating collaboration between them this project aims to expand and refine existing theoretical approaches to assess how constituency-level factors affect polarization within the legislature, and how that, in turn, influences legislative behavior and outcomes. The project will integrate important changes in findings about the electorate into institutional theories of legislative behavior. The conference will lead to a better understanding of the nature and consequences of legislative behavior in an increasingly polarized world. The effort to integrate mass-level theories of polarization into institutional theories of legislative behavior holds the potential to account for the institutional implications arising from significant changes in constituency-based elements of partisanship. the participant list includes scholars from a range of institution types, ranging from non-PhD granting, teaching-focused institutions to highly selective private and flagship state PhD granting institutions. Additionally, half of the invitees are women. The PIs will seek to include graduate students, and potentially, undergraduate students in the research endeavor, by encouraging the invited participants to identify students whose research interests mesh with the project description.<br/><br/> Part 3:<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/28/2024

05/28/2024

None

Grant

47.075

1

4900

4900

2429247

[{'FirstName': 'David', 'LastName': 'Peterson', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David A Peterson', 'EmailAddress': 'daveamp@iastate.edu', 'NSF_ID': '000429671', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Timothy', 'LastName': 'Nokken', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy Nokken', 'EmailAddress': 'timothy.nokken@ttu.edu', 'NSF_ID': '000400833', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'ZipCode': '79409', 'PhoneNumber': '8067423884', 'StreetAddress': '2500 BROADWAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'TX19', 'ORG_UEI_NUM': 'EGLKRQ5JBCZ7', 'ORG_LGL_BUS_NAME': 'TEXAS TECH UNIVERSITY SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas Tech University', 'CityName': 'LUBBOCK', 'StateCode': 'TX', 'ZipCode': '794091035', 'StreetAddress': '2500 BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'TX19'}

{'Code': '120Y00', 'Text': 'AIB-Acctble Institutions&Behav'}

2024~49962

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429247.xml'}

I-Corps: Translation Potential of a Treatment System for Glioblastoma

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of an improved approach to treating Glioblastoma to improve patient outcomes and well-being. By offering a minimally invasive, potentially more effective treatment, this approach is expected to result in improved patient outcomes and quality of life, addressing a critical need within oncology care. The innovation underlying the solution enriches magnetic hyperthermia therapy (MHT) and nanoparticle technology. This project illustrates the potential for cutting-edge treatments to influence healthcare policies towards more innovative and cost-effective solutions, offering economic benefits and setting a precedent for future medical technologies. Furthermore, this project underscores the societal value of investing in health innovation for the betterment of patient care and treatment possibilities across various diseases.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an innovative treatment system for Glioblastoma, a highly aggressive brain cancer with limited current treatment options. This system utilizes Magnetic Hyperthermia Therapy (MHT) with magnetic iron oxide nanoparticles to selectively target and destroy tumor cells while preserving surrounding healthy tissue. This solution integrates multiple functionalities into a single, minimally invasive device, including real-time temperature monitoring for precise therapy delivery, tumor debulking, biopsy capabilities, and electrocautery to minimize blood loss. This approach has shown promising results in small animal trials, indicating its potential to significantly improve Glioblastoma treatment outcomes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.084

1

4900

4900

2429278

{'FirstName': 'Turner', 'LastName': 'Baker', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Turner S Baker', 'EmailAddress': 'turner.baker@icahn.mssm.edu', 'NSF_ID': '000909506', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Icahn School of Medicine at Mount Sinai', 'CityName': 'NEW YORK', 'ZipCode': '100296504', 'PhoneNumber': '2128248300', 'StreetAddress': '1 GUSTAVE L LEVY PL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'C8H9CNG1VBD9', 'ORG_LGL_BUS_NAME': 'ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI', 'ORG_PRNT_UEI_NUM': 'C8H9CNG1VBD9'}

{'Name': 'Icahn School of Medicine at Mount Sinai', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100296504', 'StreetAddress': '1 GUSTAVE L LEVY PL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429278.xml'}

I-Corps: Translation potential of a microfluidic, dual-gel cell culture technology for drug discovery

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Ruth Shuman', 'PO_EMAI': 'rshuman@nsf.gov', 'PO_PHON': '7032922160'}

The broader impact of this I-Corps project is the development of a drug discovery research tool. Currently, drug discovery research relies on animal testing of the potential new drugs. This technology is designed to simulate the human tumor microenvironment and reduce reliance on animal testing. The solution closely mimics human physiological responses, and may offer an alternative for drug testing, reducing the need for testing in animal models and addressing ethical concerns in research. In addition, this technology may enhance drug efficacy and safety assessments, leading to more successful therapeutic outcomes and reducing the time and cost of the drug development processes.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of microfluidic cell culture technology that creates dual-gel cell culture matrices. The goal is to create a drug discovery research tool to enable the study of cellular responses under conditions that closely mimic those in human tissues including tumor tissues. This cell culture device enables individual control of relevant biophysical properties of the matrices, including flow induced stresses on cells. The device also allows for co-culture of two or more types of cells with a well-controlled number ratio and spatial distribution. This technology may facilitate a deeper understanding of how drugs interact with tumor cells, providing critical insights that could lead to more targeted and effective cancer treatments.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/28/2024

05/28/2024

None

Grant

47.084

1

4900

4900

2429285

{'FirstName': 'Jing', 'LastName': 'Fan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jing Fan', 'EmailAddress': 'jfan1@ccny.cuny.edu', 'NSF_ID': '000734461', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'CUNY City College', 'CityName': 'NEW YORK', 'ZipCode': '100319101', 'PhoneNumber': '2126505418', 'StreetAddress': '160 CONVENT AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'L952KGDMSLV5', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION OF THE CITY UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'CUNY City College', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100319101', 'StreetAddress': '160 CONVENT AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429285.xml'}

Collaborative Research: Characterizing Northern Hemisphere Atmospheric Variability from Central American Wind Gap-Induced Upwelling

NSF

02/01/2024

06/30/2026

{'Value': 'Standard Grant'}

{'Code': '06020000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'David Verardo', 'PO_EMAI': 'dverardo@nsf.gov', 'PO_PHON': '7032924695'}

There are three locations along the Central American Sierra Madre mountains that are low enough to allow winds to pass from the Atlantic to the Pacific Ocean. The northernmost of these wind gaps is the ‘Tehuantepec Gap’ (along the southwest coast of Mexico). These locally known winds (here simply Tehuantepec Gap Winds) drive intense upwelling of cool, nutrient-rich water in the Gulf primarily in the winter when high atmospheric pressures over North America establish a pressure gradient across the Isthmus of Tehuantepec. Despite the potential importance of the Tehuantepec Gap Winds as an Atlantic-Pacific teleconnection, there has been no attempt to predict the response of these winds to changes in regional climate dynamics in the context of rapid and global climate change. The researchers suggest to combine past climate records of upwelling (from sedimentary radiocarbon over the last 30.000 years) and model simulations to characterize atmospheric dynamical processes over the North Atlantic, and to examine both the sensitivity of these winds to ‘upstream’ factors as well as the ‘downstream’ implications of this inter-basin coupling. A novel Atlantic-Pacific Ocean-atmosphere feedback mechanism is suggesting in the methodological framework and hypothesis testing of this project in which the Tehuantepec Gap Winds and atmospheric Rossby waves play a central role. This collaborative project will support two early career scientists, and the education and scientific training of undergraduate students at UC Irvine (both a Hispanic Serving Institution and Native American Pacific Islander-Serving Institution). The researchers will continue engagement in their institution’ broadening participation efforts, including ATOC REU in Atmospheric, Oceanic, and Cryospheric Sciences (NSF 2150262), a program that primarily recruits from Hispanic Serving Institutions to introduce students to data science and geoscience research. Additionally, a lesson plan focused on long-term variations in Earth’s climate will be developed as part of this project and piloted through Environmental Climate Change and Literacy Projects in California’s outreach programs and posted in an openly available national online repository for climate pedagogy (called “Subject to Climate”).<br/><br/>The Gulf of Tehuantepec is an ideal location to characterize ‘upstream’ atmospheric processes linking the Pacific and Atlantic sectors because a prominent gap in the Sierra Madre mountains forces low-level winds to flow through the Isthmus of Tehuantepec toward the Pacific, driving local upwelling of deeper, lower radiocarbon waters to the surface. A preliminary model results and sediment core measurements leverage this wind-to-radiocarbon relationship to provide a precious constraint on Northern Hemisphere atmospheric dynamics over the past 23,000-years. Previous studies of contemporary climate variability and preliminary examinations of models and observational products indicate that higher atmospheric pressure over North America is associated with high near-surface pressure in the Gulf of Mexico, leading to stronger Tehuantepec winds. The project suggested here—including new sediment proxy measurements, model (Paleoclimate GCM) and data product examinations, and forward modeling—aims to discover the driving mechanisms behind the variability in Tehuantepec gap wind strength over paleoclimate timescales, which will provide a crucial new constraint on glacial-interglacial atmospheric dynamics in addition to controls on tropical Pacific Sea Surface Temperature and inter-basin moisture fluxes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/29/2024

04/29/2024

None

Grant

47.050

1

4900

4900

2429287

{'FirstName': 'Patrick', 'LastName': 'Rafter', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Patrick A Rafter', 'EmailAddress': 'patrickrafter1@hotmail.com', 'NSF_ID': '000625525', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'ZipCode': '336205800', 'PhoneNumber': '8139742897', 'StreetAddress': '4202 E FOWLER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'FL15', 'ORG_UEI_NUM': 'NKAZLXLL7Z91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTH FLORIDA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of South Florida', 'CityName': 'TAMPA', 'StateCode': 'FL', 'ZipCode': '336205800', 'StreetAddress': '4202 E FOWLER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'FL15'}

[{'Code': '153000', 'Text': 'Paleoclimate'}, {'Code': '225Y00', 'Text': 'P4CLIMATE'}]

['2023~412621', '2024~29183']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429287.xml'}

Collaborative Research: Reconstructing the geometry of magmatic plumbing systems using fluid inclusions

NSF

10/01/2023

11/30/2025

{'Value': 'Standard Grant'}

{'Code': '06030000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'EAR', 'LongName': 'Division Of Earth Sciences'}}

{'SignBlockName': 'Jennifer Wade', 'PO_EMAI': 'jwade@nsf.gov', 'PO_PHON': '7032924739'}

Constraining the depth at which magma feeding volcanic eruptions is stored in the crust is critical both for volcano monitoring agencies to interpret unrest signals during volcanic crises, and for our understanding of the formation of energy-critical metal deposits and the evolution of the Earth’s crust. However, popular techniques using earthquakes and ground deformation to obtain storage depths cannot be used at many potentially hazardous volcanoes which show little activity at present, or have limited monitoring networks. More widely applicable methods which measure the chemistry of erupted crystals are associated with large uncertainty. This team will investigate a powerful but under-used approach in volcanology, by measuring the densities of pockets of gas-rich fluids trapped within growing crystals, known as fluid inclusions (FI). This method has the potential to be significantly more precise and accurate, placing very tight constraints on where magma is stored in the crust. After investigating the strengths and weaknesses of depths from FIs using eruptions from Hawai’i and Canary Islands as a case study (where storage depths have been determined by other methods), magma storage depths will be investigated in a series of explosive eruptions that occurred several centuries ago at both locations where future eruptions of this type present a significant hazard. A rapid response simulation will be carried out in collaboration with Hawaiian Volcano Observatory (HVO) to determine just how quickly estimates of magma storage depths can be obtained during the next large eruptive crisis, and how this information can be used to inform decision making to mitigate societal risk. This proposal will foster close collaborations between three PIs with complimentary scientific expertise at different career levels, and support several students and a postdoc in a multi-tiered mentoring structure spanning three institutions. The team will develop and distribute synthetic and natural fluid inclusions to be used as calibration standards, and a workshop will promote collaboration and synergy between different research groups using Raman spectroscopy.<br/><br/>This award will capitalize on recent advances in the spectral and spatial resolution of confocal Raman spectroscopy, allowing highly precise and accurate measurements of the densities of CO2-rich fluids trapped within fluid inclusions down to ~ 1 µm in size. The simple physical relationship between the density and pressure of a CO2-rich fluid means that distributions of FI densities can be converted into magma storage pressures with very small errors (~5-10%), and then magma storage depths using known crustal density profiles. First, detailed comparisons of depths obtained from FIs will be compared to published work investigating melt inclusion saturation pressures in samples from Kīlauea Volcano, Hawai’i, and Timanfaya, Canary Islands. This will permit assessment of sources of uncertainty affecting FI barometry such as decrepitation (when the inclusion explodes) using high-resolution electron backscatter diffraction (HR-EBSD), and the presence of additional volatile species (e.g., S, Cl, H) using synthetic FIs equilibrated with different fluid compositions. After determining the strengths and weaknesses of fluid inclusion barometry, new constraints will be placed on changes in magmatic plumbing during explosive to effusive transitions at Kīlauea Volcano (a significant societal hazard), evolution from shield to post-shield in the Galápagos, and from unknown samples during an eruption simulation in collaboration with HVO. Synthetic FIs with different concentrations of CO2 will be synthesized and characterized with an experimentally calibrated Raman system to distribute to laboratories around the world to use as standard reference materials for calibration of Raman Spectrometers. This will eliminate systematic offsets between densities determined in different laboratories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/06/2024

05/06/2024

None

Grant

47.050

1

4900

4900

2429323

{'FirstName': 'Hector', 'LastName': 'Lamadrid', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hector M Lamadrid', 'EmailAddress': 'lamadridh@missouri.edu', 'NSF_ID': '000796532', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'ZipCode': '730193003', 'PhoneNumber': '4053254757', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oklahoma', 'StateCode': 'OK', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OK04', 'ORG_UEI_NUM': 'EVTSTTLCEWS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF OKLAHOMA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Oklahoma Norman Campus', 'CityName': 'NORMAN', 'StateCode': 'OK', 'ZipCode': '730193003', 'StreetAddress': '660 PARRINGTON OVAL RM 301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oklahoma', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OK04'}

{'Code': '157300', 'Text': 'Petrology and Geochemistry'}

2022~169950

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429323.xml'}

Energetic Variational Inference: Foundations, Algorithms, and Applications

NSF

05/15/2024

06/30/2025

{'Value': 'Continuing Grant'}

{'Code': '03040000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'DMS', 'LongName': 'Division Of Mathematical Sciences'}}

{'SignBlockName': 'Yong Zeng', 'PO_EMAI': 'yzeng@nsf.gov', 'PO_PHON': '7032927299'}

Variational Inference is a powerful tool used to boost efficiency and flexibility in machine learning and artificial intelligence algorithms, particularly those based on large amounts of data. In this project, the investigators plan to create a unified and systematic framework for variational inference methods, making two key contributions. First, the investigators will establish the theoretical foundations for the proposed framework, which will support and justify using existing and new variational inference algorithms in machine learning applications. Second, the investigators will provide a systemic procedure to create new variational inference algorithms and apply them to emerging machine learning problems. In addition to these new scientific developments, the investigators will create new courses and workshops on machine learning, recruit both undergraduate and graduate students for summer, project-based research programs, and provide mentorship to local high school students through hands-on machine learning training programs. Collaborations are planned with industrial data science partners to apply these new algorithms in practice and to train the workforce with the start-of-the-art machine learning tools.<br/><br/>The proposed "Energetic Variational Inference" framework is based on an energetic variational approach, which has been successfully used to study complicated non-equilibrium systems in physics and biology. The investigators will provide a blueprint for generating new algorithms by introducing various options for the four essential components of the proposed framework: the divergence functional, the dissipation functional, the representation of the probability density, and the temporal discretization. The investigators will study convergence in the continuous formulation as well as estimate the error bounds after temporal discretization of the underlying continuous dynamic system. More importantly, these theoretical results can be applied or extended to other flow-based variational inference approaches. These methods will be applied to problems in supervised learning, density estimation, and generative learning. Additional novel applications in machine learning, statistics, and statistical physics will also be developed. The algorithms will be packaged into open-source software for public use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/17/2024

05/17/2024

None

Grant

47.049

1

4900

4900

2429324

{'FirstName': 'Lulu', 'LastName': 'Kang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lulu Kang', 'EmailAddress': 'lulukang@umass.edu', 'NSF_ID': '000582245', 'StartDate': '05/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'ZipCode': '010039252', 'PhoneNumber': '4135450698', 'StreetAddress': '101 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'VGJHK59NMPK9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MASSACHUSETTS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Massachusetts Amherst', 'CityName': 'AMHERST', 'StateCode': 'MA', 'ZipCode': '010039252', 'StreetAddress': 'COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}

[{'Code': '171200', 'Text': 'DMR SHORT TERM SUPPORT'}, {'Code': '806900', 'Text': 'CDS&E-MSS'}]

['2022~112949', '2023~59998']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429324.xml'}

Collaborative Research Data Afterlives: The long-term impact of NSF Data Management Plans on data archiving and sharing for increased access

NSF

02/15/2024

09/30/2024

{'Value': 'Standard Grant'}

{'Code': '04050000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'SES', 'LongName': 'Divn Of Social and Economic Sciences'}}

{'SignBlockName': 'Christine Leuenberger', 'PO_EMAI': 'cleuenbe@nsf.gov', 'PO_PHON': '7032927563'}

In 2011, the National Science Foundation began requiring that all funded projects provide data management plans (DMPs) to ensure that project data, computer codes, and methodological procedures were available to other scientists for future use. However, the extent to which these data management requirements have resulted in more and better use of project data remains an open question. This project thus investigates the National Science Foundation’s DMP mandate as a national science policy and examines the broad impacts of this policy across a strategic sample of five disciplines funded by the National Science Foundation. It considers the organization and structure of DMPs across fields, the institutions involved in data sharing, data preservation practices, the extent to which DMPs enable others to use secondary project data, and the kinds of data governance and preservation practices that ensure that data are sustained and accessible. Systematic investigation of the impact of DMPs and data sharing cultures across fields will assist funding agencies and research scientists working to produce reproducible and open science by identifying barriers to data archiving, sharing, and access. The principal investigators will use project findings to develop data governance guidelines for information professionals working with scientific data and to articulate best practices for scientific communities using DMPs for data management. <br/><br/>This project aims to enhance understanding of the role data management plans (DMPs) play in shaping data lifecycles. It does so by examining DMPs across five fields funded by the National Science Foundation to understand data practices, archiving and access issues, the infrastructures that support data sharing and reuse, and the extent to which project data are later used by other researchers. In phase I, the investigators will gather a strategic sample of DMPs representing a wide range of data types and data retention practices from different scientific fields. Phase II consists of forensic data analysis of a subset of DMPs to discover what has become of project data. Phase III develops detailed case studies of research project data lifecycles and data afterlives with qualitative interviews and archival documentary analysis to help develop best practices for sustainable data preservation, access, and sharing. Phase IV will translate findings into data governance recommendations for stakeholders. The project thus contributes to research about contemporary studies of scientific data production and circulation while assessing the effect of DMPs as a national science policy initiative affecting data management practices in different scientific communities. The comparative research design and mixed methods enables theory building about cross-disciplinary data practices and data cultures across fields and advances knowledge within data studies, information management studies, and science and technology studies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/20/2024

06/20/2024

None

Grant

47.075

1

4900

4900

2429325

{'FirstName': 'Megan', 'LastName': 'Finn', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Megan Finn', 'EmailAddress': 'finn@american.edu', 'NSF_ID': '000509152', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'American University', 'CityName': 'WASHINGTON', 'ZipCode': '200168002', 'PhoneNumber': '2028853440', 'StreetAddress': '4400 MASSACHUSETTS AVE NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'H4VNDUN2VWU5', 'ORG_LGL_BUS_NAME': 'AMERICAN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'American University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200168002', 'StreetAddress': '4400 MASSACHUSETTS AVE NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '124Y00', 'Text': 'Science & Technology Studies'}

2020~29989

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429325.xml'}

Collaborative Research: Stanford-Florida program in Support of LIGO on Coatings and Core Optics

NSF

05/01/2024

03/31/2025

{'Value': 'Continuing Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Pedro Marronetti', 'PO_EMAI': 'pmarrone@nsf.gov', 'PO_PHON': '7032927372'}

This award supports research in relativity and relativistic astrophysics and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. The detection of gravitational waves from coalescing black holes in 2015 launched the field of gravitational wave astronomy. Gravitational-wave detectors with a two-fold increase in sensitivity over Advanced LIGO would yield an order of magnitude increase in detection rate for black hole coalescences, and enable detection of fainter objects like binary neutron stars, greatly increasing their value for multi-messenger astronomy. All future detector upgrades and concepts rely on the development of new mirror coating materials to reduce thermal noise, which is the core research focus this collaborative project between Martin Fejer's group at Stanford University and Hai-Ping Cheng's group at the University of Florida. Reducing this noise source requires reducing the mechanical loss in the mirror coatings on the test masses. The goal of this project is to develop mirror coatings consistent with the mechanical and optical requirements for implementation in future generations of LIGO. Meeting this goal for room temperature detectors requires a solution of a longstanding problem in the physics of amorphous materials: understanding the nature of and finding means to reduce the low-energy excitations in amorphous metal oxides. On a longer time-scale, the proposed 3G detectors' cryogenic operation broadens the possible choice of low-noise mirror materials to include amorphous or crystalline semiconductors.<br/><br/>The mid-band sensitivity of the Advanced LIGO detectors is limited by thermal noise resulting from mechanical loss in the mirror coatings, and future upgrades including Advanced LIGO Plus will seek to reduce this source of noise by a factor of two or more. The Stanford-Florida partnership, alongside collaborators in the LSC Center for Coatings Research (CCR), has identified different structural motifs associated with room-temperature vs cryogenic mechanical losses, which led to synthesis of germania (GeO2) films, giving rise to the lowest-loss amorphous oxide film other than silica. Going forward, this structural guide, based on electron and x-ray scattering atomic structure data, will serve as a paradigm informing the development of high-refractive-index amorphous coatings with lower elastic loss. Atomic modeling of coating elastic loss combined with simulations of the coating deposition process will provide guidance for the selection of candidate materials, assist in interpretation of experimental structure data, and will ultimately assist in the design of synthesis experiments. Another long-standing effort at Stanford has been measurements of the absorption of low-optical-loss materials at the sub-ppm/cm level, dating back to the down select between silica and sapphire for initial LIGO test masses. The groups will continue to use the interferometric tool developed for those studies to characterize cryogenic losses in single-crystal silicon samples to evaluate their suitability for implementation in the Voyager technology demonstrator and future cryogenic detectors.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2429331

{'FirstName': 'Hai-Ping', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hai-Ping Cheng', 'EmailAddress': 'ha.cheng@northeastern.edu', 'NSF_ID': '000307254', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '125200', 'Text': 'LIGO RESEARCH SUPPORT'}

2023~23103

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429331.xml'}

Collaborative Research: LSC Center for Coatings Research

NSF

05/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '03010000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'PHY', 'LongName': 'Division Of Physics'}}

{'SignBlockName': 'Pedro Marronetti', 'PO_EMAI': 'pmarrone@nsf.gov', 'PO_PHON': '7032927372'}

The detections of gravitational waves from coalescing black holes in 2015 launched the field of gravitational wave astronomy. The NSF-funded “A+” upgrade to Advanced LIGO is designed to achieve an order of magnitude increase in detection rate for black hole coalescences, and enable detection of fainter objects like binary neutron stars, greatly increasing their value for multi-messenger astronomy. The A+ upgrade and all 3rd generation detector designs depend on the development of mirrors with low coating thermal noise. The coating thermal noise is reduced, primarily, by lowering the mechanical (elastic) loss of the mirror materials. The core research focus of the LIGO Scientific Collaboration (LSC) Center for Coatings Research (CCR) is the development of mirror coatings with low mechanical and optical losses for use in A+ and 3rd generation detectors. The research mission of the CCR includes: understanding and reducing mechanical loss in amorphous metal-oxides, the most widely-used materials in mirror coatings; and developing and testing crystalline (AlGaAs) coatings, which have demonstrated low losses for small mirrors. On a longer time-scale, the CCR is developing mirrors compatible with the proposed 3G detectors’ cryogenic operation. <br/><br/>The residual noise visible in the time-domain gravitational waveforms of black hole mergers first recorded by Advanced LIGO is mostly due to quantum noise of the light and thermal noise due to the mirror coatings. Since that first discovery much progress has been made in reducing quantum noise and the coupling from seismic, scatter and jitter noise, leaving coating thermal noise as the dominant barrier limiting gravitational-wave astronomy in the most sensitive observation band. Reducing this noise source for future generations of detectors requires reducing the mechanical dissipation in the mirror coatings on the test masses, and forms the main goal of the CCR. The CCR combines groups working on computational modeling, coating deposition, and characterization of atomic structure and macroscopic material properties. These components are often performed by four diverse communities that work in relative isolation from each other. The strength of the CCR and its promise of accelerating discoveries arises from close integration of these communities focused on a unified research goal. In its first two years of operation, research in the CCR has identified different structural motifs associated with room-temperature vs cryogenic mechanical losses, which led to synthesis of germania (GeO2) films giving rise to the lowest-loss amorphous oxide film other than silica. Going forward, this structural guide will serve as a paradigm informing the development of high-refractive index amorphous coatings with lower elastic loss. In addition, thermo-optically-optimized AlGaAs crystalline coatings have demonstrated a coating thermal noise well below the requirements for A+, and the CCR has generated a development schedule to scale up these coatings to LIGO mirror sizes and will continue investigations into these materials. Other research paths include: exploring deposition techniques to produce “ultrastable glasses” using amorphous metal-oxides; and stabilizing amorphous coatings against crystallization in order to allow elastic loss reduction via high temperature annealing either with nano-layering or with different doping materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2429369

{'FirstName': 'Hai-Ping', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hai-Ping Cheng', 'EmailAddress': 'ha.cheng@northeastern.edu', 'NSF_ID': '000307254', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'ZipCode': '021155005', 'PhoneNumber': '6173733004', 'StreetAddress': '360 HUNTINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'HLTMVS2JZBS6', 'ORG_LGL_BUS_NAME': 'NORTHEASTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northeastern University', 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155005', 'StreetAddress': '360 HUNTINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

[{'Code': '107Y00', 'Text': 'WoU-Windows on the Universe: T'}, {'Code': '125200', 'Text': 'LIGO RESEARCH SUPPORT'}]

2020~247157

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429369.xml'}

Collaborative Research: Travel: International Council for Exploration of the Sea: Travel Support for Academic Participants, 2024-2027

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Kandace Binkley', 'PO_EMAI': 'kbinkley@nsf.gov', 'PO_PHON': '7032927577'}

The International Council for Exploration of the Sea (ICES) was founded in 1902. It is a prominent intergovernmental organization that conducts science and provides management advice on marine resources in the North Atlantic and neighboring seas. ICES is the preeminent intergovernmental organization conducting science and providing management advice on marine resources in the North Atlantic and neighboring seas. Over 3,000 scientists from over 800 institutions in its 20 member countries participate in the activities that it organizes each year. Its mission is to “advance and share scientific understanding of marine ecosystems and the services they provide and to use this knowledge to generate state- of-the-art advice for meeting conservation, management, and sustainability goals.” The United States has been a member of ICES since 1912. The US role in ICES has become more important as global concerns related to overfishing, effects of climate change, loss of biodiversity, ocean acidification, harmful algal blooms, and effects of aquaculture on ecosystems have become international in scale and requiring coordinated research programs. Their work focuses on the North Atlantic, but also includes the Arctic, Mediterranean Sea and the Black Sea. The participation of U.S. academic scientists in ICES activities will advance our ability to develop and harness new techniques and technologies for observing marine ecosystems; and advance our understanding of their structure, function, and dynamics.<br/><br/>The PIs request funds to support travel by U.S. academic scientists to allow participation in the ICES Annual Science Conference, its Working Groups and Workshops, Symposia, Theme Sessions, and Training Programs. Applications by young and established scientists will be considered to assure strong representation by the U.S. academic community in ICES activities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/21/2024

06/21/2024

None

Grant

47.050

1

4900

4900

2429385

{'FirstName': 'Michael', 'LastName': 'Neubert', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael G Neubert', 'EmailAddress': 'mneubert@whoi.edu', 'NSF_ID': '000112624', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'ZipCode': '025431535', 'PhoneNumber': '5082893542', 'StreetAddress': '266 WOODS HOLE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'MA09', 'ORG_UEI_NUM': 'GFKFBWG2TV98', 'ORG_LGL_BUS_NAME': 'WOODS HOLE OCEANOGRAPHIC INSTITUTION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Woods Hole Oceanographic Institution', 'CityName': 'WOODS HOLE', 'StateCode': 'MA', 'ZipCode': '025431535', 'StreetAddress': '266 WOODS HOLE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'MA09'}

{'Code': '541900', 'Text': 'INTERNATIONAL SUPPORT'}

2024~116890

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429385.xml'}

Collaborative Research: Travel: International Council for Exploration of the Sea: Travel Support for Academic Participants, 2024-2027

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

{'Code': '06040100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OCE', 'LongName': 'Division Of Ocean Sciences'}}

{'SignBlockName': 'Kandace Binkley', 'PO_EMAI': 'kbinkley@nsf.gov', 'PO_PHON': '7032927577'}

The International Council for Exploration of the Sea (ICES) was founded in 1902. It is a prominent intergovernmental organization that conducts science and provides management advice on marine resources in the North Atlantic and neighboring seas. ICES is the preeminent intergovernmental organization conducting science and providing management advice on marine resources in the North Atlantic and neighboring seas. Over 3,000 scientists from over 800 institutions in its 20 member countries participate in the activities that it organizes each year. Its mission is to “advance and share scientific understanding of marine ecosystems and the services they provide and to use this knowledge to generate state- of-the-art advice for meeting conservation, management, and sustainability goals.” The United States has been a member of ICES since 1912. The US role in ICES has become more important as global concerns related to overfishing, effects of climate change, loss of biodiversity, ocean acidification, harmful algal blooms, and effects of aquaculture on ecosystems have become international in scale and requiring coordinated research programs. Their work focuses on the North Atlantic, but also includes the Arctic, Mediterranean Sea and the Black Sea. The participation of U.S. academic scientists in ICES activities will advance our ability to develop and harness new techniques and technologies for observing marine ecosystems; and advance our understanding of their structure, function, and dynamics.<br/><br/>The PIs requests funds to support travel by U.S. academic scientists to allow participation in the ICES Annual Science Conference, its Working Groups and Workshops, Symposia, Theme Sessions, and Training Programs. Applications by young and established scientists will be considered to assure strong representation by the U.S. academic community in ICES activities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/21/2024

06/21/2024

None

Grant

47.050

1

4900

4900

2429386

{'FirstName': 'David', 'LastName': 'Secor', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David H Secor', 'EmailAddress': 'secor@umces.edu', 'NSF_ID': '000388716', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'ZipCode': '216133368', 'PhoneNumber': '4102212014', 'StreetAddress': '2020 HORNS POINT RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MD01', 'ORG_UEI_NUM': 'JHTYTGKYWLL9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND CENTER FOR ENVIRONMENTAL SCIENCE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Maryland Center for Environmental Sciences', 'CityName': 'CAMBRIDGE', 'StateCode': 'MD', 'ZipCode': '216133368', 'StreetAddress': '2020 HORNS POINT RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MD01'}

{'Code': '541900', 'Text': 'INTERNATIONAL SUPPORT'}

2024~26745

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429386.xml'}

I-Corps: Translation Potential of a Clinical Decision Support System

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact/commercial potential of this I-Corps project is the development of a clinical decision support (CDS) system that enables doctors to make better treatment decisions and employ team-based care to improve the management of patients with chronic disease. This project may also have a positive impact on patients by allowing them to better understand their care plan, adhere to their medications, and be active participants in their care. While the project currently focuses on hypertension management, the technology has the potential for management of other conditions. Overall, this project has a significant potential clinical impact, with opportunities to improve health outcomes for patients and reduce payer spending.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of an innovative, web-based, clinical decision support technology platform, built with industry standard specifications (i.e., Substitutable Medical Apps and Reusable Technology - SMART) and data connectivity and transfer via Fast Healthcare Interoperability Resources (FHIR). These features uniquely provide interoperability across various electronic health record (EHR) vendors. The core technology consists of an evidence-based hypertension treatment algorithm that is connected to the EHR via the FHIR programming interfaces. Through the extraction and processing of clinical data and patient-generated data, the system generates tailored treatment recommendations.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/28/2024

05/28/2024

None

Grant

47.084

1

4900

4900

2429481

{'FirstName': 'Valy', 'LastName': 'Fontil', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Valy Fontil', 'EmailAddress': 'VALY.FONTIL@nyulangone.org', 'NSF_ID': '0000A05NC', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New York University Medical Center', 'CityName': 'NEW YORK', 'ZipCode': '100166402', 'PhoneNumber': '2122638822', 'StreetAddress': '550 1ST AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'M5SZJ6VHUHN8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New York University Grossman School of Medicine', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100166402', 'StreetAddress': '180 Madison Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429481.xml'}

I-Corps: Translation Potential of Deployable, Electrostatically Actuated, Mesh Reflector Antennas for Satellite Applications

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of electrostatic actuation technology for space satellite applications. This technology enables dynamic re-shaping of membrane reflectors for satellite applications on-orbit. This capability has the potential to expand flexibility in commercial satellite communications from geostationary orbit to cover different geographic areas, by allowing repurposing of existing satellites. The ability to reshape the reflector on-orbit allows for large reflectors with unprecedented surface precision to be used for innovative atmospheric radar instruments and improved weather monitoring from space. This technology could enable longer-range and more precise forecasting of tropical cyclones, helping protect coastal communities from storms.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of electrostatic actuation of membrane reflectors for satellite applications. The research builds on a concept originally proposed in the 1980s for membrane reflectors, where a command surface of electrodes parallel to the controlled reflector surface is used to apply a bias voltage across the gap. The coulomb force is used to pull the flexible membrane into a dished reflector shape, and the voltage applied to each electrode can be controlled to change the focal length or steer and shape the reflector beam. Current versions of membrane reflectors for satellite applications are largely passive, and thus limited in flexibility. However, electrostatic actuation allows active beam steering and focal length shifting as well as surface control. This innovation enables electrostatic actuation integration into existing designs to expand the capabilities of membrane reflectors for satellites.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/28/2024

05/28/2024

None

Grant

47.084

1

4900

4900

2429600

{'FirstName': 'Zachary', 'LastName': 'Cordero', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zachary C Cordero', 'EmailAddress': 'zcordero@mit.edu', 'NSF_ID': '000712525', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'ZipCode': '021394301', 'PhoneNumber': '6172531000', 'StreetAddress': '77 MASSACHUSETTS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'E2NYLCDML6V1', 'ORG_LGL_BUS_NAME': 'MASSACHUSETTS INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'E2NYLCDML6V1'}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': '77 MASSACHUSETTS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429600.xml'}

Conference: Plant Scholars Program - Supporting Exceptional Talent to Solve 21st Century Agricultural Problems

NSF

06/01/2024

05/31/2026

{'Value': 'Standard Grant'}

{'Code': '08090000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Diane Jofuku Okamuro', 'PO_EMAI': 'dokamuro@nsf.gov', 'PO_PHON': '7032924508'}

By 2050, the global population will exceed 10 billion, and this population will experience a hotter, drier climate, reduced agricultural productivity, and prevalent food insecurity. Although these future conditions will impact the entire population, they will disproportionately impact impoverished communities, people of color, the Global South, and other marginalized groups. Many of the solutions to mitigate the impact of extreme environments will come from the plant science community. However, to realize the potential of plant research, intensive national and global collaborations among industry, academia, and government are required as well as a community of plant scientists that can adeptly communicate with the general public about agricultural problems across massive dimensions of scale. NSF funds will be used to support activities designed to broaden participation of faculty and students at institutions with minimal or limited research infrastructure at the annual Plant Biology (PB) 2024 conference and associated regional meetings sponsored and organized by the American Society of Plant Biologists (ASPB). Conference activities are designed to enhance participation and to introduce these scientists to research resources and funding opportunities that will help them connect to the broader plant biology research community year-round. <br/><br/>ASPB is a leader in supporting career development opportunities for a wide variety of scientists and is uniquely positioned to contribute toward the goal of creating a more inclusive plant science community and building bridges between scientists and the general public. With NSF support, two programs will be developed and implemented in conjunction with the annual ASPB conference June 22–26, 2024 (Honolulu, HI). Plant Science Saturday has been implemented at the last two national conferences and provides a unique opportunity for plant scientists to interact with the general public. This community event uses hands-on activities to engage families, particularly those with younger children, as a way to spark curiosity and build awareness of how plants positively impact economies, environments, and health. The aim of the Plant Scholars program is to create annual cohorts of constituents that are under-represented in plant biology across multiple axes of diversity (gender, racial/ethnic identity, institution type, etc.) at traditionally 'leaky' transition points in research education and career pathways. Cohorts will receive financial support to attend an ASPB conference and will be connected by networking prior to, during and following the conference, with the group growing yearly with each additional cohort. Supported scientists will be organized into cohorts spanning multiple career stages, promoting mentoring and collaboration. Additionally, professional development and scientific programming will be developed to address challenges faced by subgroups within the cohorts, with this programming being disseminated to all conference attendees and beyond.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/05/2024

06/05/2024

None

Grant

47.074

1

4900

4900

2429679

[{'FirstName': 'Crispin', 'LastName': 'Taylor', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Crispin Taylor', 'EmailAddress': 'ctaylor@aspb.org', 'NSF_ID': '000329131', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Amanda', 'LastName': 'Storm', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Amanda R Storm', 'EmailAddress': 'arstorm@wcu.edu', 'NSF_ID': '000911492', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Erin', 'LastName': 'Friedman', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Erin J Friedman', 'EmailAddress': 'Friedman.E@lynchburg.edu', 'NSF_ID': '000689988', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'American Society of Plant Biologists', 'CityName': 'ROCKVILLE', 'ZipCode': '208552753', 'PhoneNumber': '3012960925', 'StreetAddress': '15501 MONONA DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MD08', 'ORG_UEI_NUM': 'ER16NUB2ANX6', 'ORG_LGL_BUS_NAME': 'AMERICAN SOCIETY OF PLANT BIOLOGISTS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'American Society of Plant Biologists', 'CityName': 'ROCKVILLE', 'StateCode': 'MD', 'ZipCode': '208552753', 'StreetAddress': '15501 MONONA DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'MD08'}

{'Code': '132900', 'Text': 'Plant Genome Research Project'}

2024~49607

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429679.xml'}

I-Corps: Translation Potential of Accelerated and Energy-Efficient 3D Printing of High-Performance Polymers and Composites

NSF

07/01/2024

12/31/2024

{'Value': 'Standard Grant'}

{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}

{'SignBlockName': 'Molly Wasko', 'PO_EMAI': 'mwasko@nsf.gov', 'PO_PHON': '7032924749'}

The broader impact of this I-Corps project is based on the development of innovative fused filament fabrication (FFF) systems that can print high-performance thermoplastics with superior interlayer adhesion at high rates. A thermoplastic any plastic that becomes pliable or moldable at elevated temperatures and solidifies upon cooling. This technology has the potential to improve the additive manufacturing industry, valued at approximately $20 billion, by addressing critical market gaps and setting new standards for manufacturing robust and reliable components. The innovation will particularly benefit industries such as aerospace, automotive, and medical devices, which require stringent performance requirements.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of new filament materials and heating methods that addresses the limitations of existing fused filament fabrication (FFF) technologies that can print high-performance thermoplastics with superior interlayer adhesion at high rates. The project aims to validate the market need for improved FFF systems through extensive customer discovery and analysis. The project's outcomes will guide subsequent stages of product development and inform a go-to-market strategy, ultimately driving broader adoption of FFF systems and capturing a larger share of the additive manufacturing market.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/25/2024

06/25/2024

None

Grant

47.084

1

4900

4900

2429715

{'FirstName': 'Mehran', 'LastName': 'Tehrani', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mehran Tehrani', 'EmailAddress': 'mtehrani@ucsd.edu', 'NSF_ID': '000651616', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'ZipCode': '920930021', 'PhoneNumber': '8585344896', 'StreetAddress': '9500 GILMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'UYTTZT6G9DT1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SAN DIEGO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-San Diego', 'CityName': 'LA JOLLA', 'StateCode': 'CA', 'ZipCode': '920930021', 'StreetAddress': '9500 GILMAN DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429715.xml'}

Conference: 2024 In Vivo Ultrasound Imaging Gordon Research Conference and Seminar

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}

{'SignBlockName': 'Stephanie George', 'PO_EMAI': 'stgeorge@nsf.gov', 'PO_PHON': '7032927825'}

This award supports the 2024 In Vivo Ultrasound Imaging Gordon Research Conference and Seminar, which will be held August 24 -30, 2024, at Waterville Valley, a Conference Center located in Waterville Valley Resort, West Dover, VT. The theme of the Conference is “Advances in Translational Applications of Imaging in Disease Diagnosis, Staging and Therapy.” Ultrasound is a ubiquitous clinical imaging modality supported by a dynamic and scholarly research community. Until the inaugural Gordon Research Conference (GRC), no conference or professional meeting was explicitly dedicated to basic science ultrasound research with the goal of improving diagnostic ultrasound. The first GRC on in vivo ultrasound imaging found an exceptional reception and outstanding feedback. Discussion among the 2022 participants quickly demonstrated the strong need to propose a Gordon Research Seminar (GRS). GRC and GRS will provide an intimate forum for scientific exchange among scientists and researchers whose primary area of research is the development of novel biomedical ultrasound techniques and approaches. The proposed inaugural GRS will feature 3 sessions with dedicated discussion leaders and 11 student speakers selected from abstract submissions. A 4-member panel discussion on mentorship will conclude the GRS and create a transition to the GRC for 5 days of fostering discourse and mentoring between trainees and researchers/educators.<br/><br/>The 2024 In Vivo Ultrasound Imaging Gordon Research Conference and Seminar is divided into two sections, the first section being in the Gordon Research Seminar (GRS) format and the second in the Gordon Research Conference format. This is the second GRC (first held in 2022) and first GRS on In Vivo Ultrasound Imaging. The GRS, which is designed for graduate students and post docs and will be held prior to the GRC, will highlight innovations and applications of next generation functional ultrasound imaging and include a mentorship session. The overall structures for both GRS and GRC sessions are the same. Sessions with three of four speakers will be managed by discussion leaders. Presentations will be followed by ample discussion time. Both sections host two poster sessions. For the GRS sessions, 3 discussion leaders and 4 panel experts have been invited and the speakers will be selected from submitted abstracts. For the GRC, 37 scientists with a focus in ultrasound research have been invited to attend as either invited speakers or discussion leaders. Topics for the 3 GRS scientific sessions are: Functional Imaging Modes, Functional Ultrasound Imaging in Therapeutic Applications, and Functional Ultrasound Neuroimaging. Topics for the 8 GRC scientific sessions are: Wearable Ultrasound Devices, Materials, and Application; Neuromodulation; Ultrasound Imaging and Therapy in Immunotherapy; Contrast Enhanced Ultrasound; Novel Uses of Contrast Agents; Lung Ultrasound; Applications of Machine Learning in Ultrasound; and Ultrasound Therapy.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/12/2024

06/12/2024

None

Grant

47.041

1

4900

4900

2429807

{'FirstName': 'Oliver', 'LastName': 'Kripfgans', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Oliver D Kripfgans', 'EmailAddress': 'greentom@umich.edu', 'NSF_ID': '000711678', 'StartDate': '06/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'ZipCode': '028183454', 'PhoneNumber': '4017834011', 'StreetAddress': '5586 POST RD UNIT 2', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'XL5ANMKWN557', 'ORG_LGL_BUS_NAME': 'GORDON RESEARCH CONFERENCES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Gordon Research Conferences', 'CityName': 'EAST GREENWICH', 'StateCode': 'RI', 'ZipCode': '028183454', 'StreetAddress': '5586 POST RD UNIT 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '534500', 'Text': 'Engineering of Biomed Systems'}

2024~4990

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429807.xml'}

Conference: ACM SIGSPATIAL Conference 2024: Student Activities and U.S.-Based Students Support

NSF

09/01/2024

02/28/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Hector Munoz-Avila', 'PO_EMAI': 'hmunoz@nsf.gov', 'PO_PHON': '7032924481'}

This grant will fund travel of United States-based graduate and undergraduate students to participate in the 32nd ACM SIGSPATIAL GIS 2024 Conference, which will be held in Atlanta, Georgia, from October 29 to November 01, 2024. The conference is annually organized by the Association for Computing Machinery (ACM) Special Interest Group on Spatial Information (SIGSPATIAL), which is an association for researchers, students, and professionals interested in research, development, and deployment of solutions to spatial information handling and spatial knowledge extraction problems. The conference started in 1993, has established itself as the world's premier research conference in spatial computing, spatial data, and GIS. It provides a forum for original research contributions covering all conceptual, design, and implementation aspects of GIS ranging from applications, user interfaces, and visualization to storage management and indexing issues. Besides the technical program, the conference features workshops, a student research competition, a data competition, and demos. The importance of spatial information handling continuously increases with new application domains and the availability and ubiquity of large spatial data such as maps, remote-sensing images, 3D medical atlases, and the decennial census. Businesses, industry, academia, and governmental agencies utilize spatial information to improve their daily operations, structure new strategies, and increase overall productivity and US competitiveness.<br/><br/>Spatial data and applications pose novel research challenges in a wide variety of sub-areas, including (but not limited to) spatial information acquisition, modeling, data structures, and algorithms, analysis, querying and integration, human-computer interaction and visualization, and systems and architectures. From these sub-areas, deep research questions emerge that are motivated by a broad range of applications (e.g., emergency and crisis management, environmental monitoring, global positioning and location detection, geosciences, location-based and mobile services, navigation, and route planning). ACM SIGPATIAL GIS provides a forum for this research, including presentations of accepted technical papers, poster and demo exhibition encouraging lively interaction among all participants, and presentations by leading related industry members. The participation of U.S. graduate and promising undergraduate students will result in the intellectual stimulation of young minds to pursue advanced research and development activities in an area that has a huge technical and societal impact.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.070

1

4900

4900

2429933

[{'FirstName': 'Li', 'LastName': 'Xiong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Li Xiong', 'EmailAddress': 'lxiong@emory.edu', 'NSF_ID': '000236695', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Andreas', 'LastName': 'Zuefle', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andreas Zuefle', 'EmailAddress': 'azufle@emory.edu', 'NSF_ID': '000718920', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Emory University', 'CityName': 'ATLANTA', 'ZipCode': '303221061', 'PhoneNumber': '4047272503', 'StreetAddress': '201 DOWMAN DR NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'S352L5PJLMP8', 'ORG_LGL_BUS_NAME': 'EMORY UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Emory University', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303224250', 'StreetAddress': '201 DOWMAN DR NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '736400', 'Text': 'Info Integration & Informatics'}

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429933.xml'}

WORKSHOP: WiGRAPH - Women in Graphics Research 2024

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Ephraim Glinert', 'PO_EMAI': 'eglinert@nsf.gov', 'PO_PHON': '7032924341'}

WiGRAPH is an ACM SIGGRAPH Community Group that aims to broaden the network of women researchers in Computer Graphics. Its mission is to increase the number of women pursuing cutting-edge research in the field by creating supportive environments where women researchers can interact with each other and seek role models, mentorship, and encouragement. WiGRAPH offers a range of opportunities, including research panels, networking spaces, and an online article series that highlights the journeys and accomplishments of inspiring women researchers. The Rising Stars program is a series of workshops designed to empower women who are finishing their PhD and about to enter the job market, providing them with resources that can help them pursue research careers in the field and achieve their goals, thereby creating a more inclusive and diverse research community that can drive innovation and progress in the field.<br/><br/>The program is designed to empower and inspire young women in Computer Graphics research. Through a series of workshops and panels, it provides practical advice on how to pick research topics, pursue research questions, and navigate the industry/academic markets. This is particularly important for women researchers, especially those from underrepresented groups, who face unique challenges and obstacles in their careers. The program includes a range of workshops covering topics such as networking, negotiation, and career development, all of which are relevant to women researchers. Participants also have the opportunity to network with each other and build relationships with potential mentors and sponsors, creating a supportive community that can help women researchers thrive. Overall, the program provides women researchers with the tools they need to succeed, whether in industry or academia.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.070

1

4900

4900

2429961

{'FirstName': 'Adriana', 'LastName': 'Schulz', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adriana Schulz', 'EmailAddress': 'adriana@cs.washington.edu', 'NSF_ID': '000786155', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'ZipCode': '981951016', 'PhoneNumber': '2065434043', 'StreetAddress': '4333 BROOKLYN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': 'HD1WMN6945W6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WASHINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Washington', 'CityName': 'SEATTLE', 'StateCode': 'WA', 'ZipCode': '981951016', 'StreetAddress': '4333 BROOKLYN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}

{'Code': '736700', 'Text': 'HCC-Human-Centered Computing'}

2024~49639

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2429961.xml'}

Travel: NSF Student Travel Grant for 2024 ACM International Conference on Multimodal Interaction (ACM ICMI)

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '05020000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'IIS', 'LongName': 'Div Of Information & Intelligent Systems'}}

{'SignBlockName': 'Dan Cosley', 'PO_EMAI': 'dcosley@nsf.gov', 'PO_PHON': '7032928832'}

This project will support abut six doctoral students enrolled in United States' institutions to attend the 26th International Conference on Multimodal Interaction (ICMI 2024) in San Jose, Costa Rica and to participate in the ICMI 2024 Doctoral Consortium that will be held on November 4, 2024. ICMI covers a range of topics around designing, developing, and evaluating multimodal interfaces and human-centered AI that are becoming commonplace in communication technology, educational software, health-tracking apps, and accessible computing systems. Novel technologies such as multi-biometric multimodal interfaces, runtime-efficient human interaction systems, and unbiased human-in-the-loop decision-making systems also promise significant contributions to individual and national security, environmental sustainability, and equitability. The Doctoral Consortium provides PhD students with an opportunity to present their work to a group of mentors and peers from an international and diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young human-computer interaction and multimodal modeling researchers. Doctoral Consortium participants will present their work both at the Doctoral Consortium itself and at the main conference poster session; the submissions will be archived in the conference proceedings and the ACM Digital Library.<br/><br/>Adequate financial support for student travel is expected to play a major role in whether or not these students attend and participate in the conference, particularly at a time when many institutions are cutting back or eliminating funds for international conference travel for students. Students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in designing and developing multimodal interfaces and artificial intelligence to enhance human-human or human-computer interaction are invited to participate; the organizers will widely advertise the availability for support to attend the doctoral consortium. Students will be selected based on their contributions to intellectual, personal, and institutional diversity at the conference.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.070

1

4900

4900

2430047

{'FirstName': 'Brandon', 'LastName': 'Booth', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brandon M Booth', 'EmailAddress': 'bmbooth@memphis.edu', 'NSF_ID': '000902624', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Memphis', 'CityName': 'MEMPHIS', 'ZipCode': '381520001', 'PhoneNumber': '9016783251', 'StreetAddress': '115 JOHN WILDER TOWER', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'TN09', 'ORG_UEI_NUM': 'F2VSMAKDH8Z7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MEMPHIS', 'ORG_PRNT_UEI_NUM': None}