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Collaborative Research: CNS Core: Medium: FROOT: Future-Proof, Trustworthy Telemetry on Heterogeneous Networks

NSF

10/01/2023

11/30/2024

{'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': 'Ann Von Lehmen', 'PO_EMAI': 'avonlehm@nsf.gov', 'PO_PHON': '7032924756'}

With the growth of the Internet and its importance in supporting the US economy, business, health, education and other services, it is critical to ensure both high performance and high availability of the networks underlying it. Increasingly, such networks include a heterogeneous set of network switches and other devices which must be monitored and controlled in a coordinated manner. Emerging networked applications, such as cloud gaming or cloud streamed augmented reality, are expected to further stress both control systems and network monitoring by requiring real-time response to rapid changes in traffic workloads. This project aims to address the needs of future network control by enabling a network telemetry infrastructure that can provide timely, accurate, and trusted information about ongoing activities in the network<br/><br/><br/>This project proposes FROOT, a future-proof, trustworthy telemetry infrastructure for networks of heterogeneous programmable devices (e.g., programmable switch, SmartNIC, CPU, and DPU). The project takes an interdisciplinary approach spanning algorithms, systems, and security to inform the design and implementation of next generation telemetry systems through the following: (1) universal sketch-based algorithmic design and implementation for current and new measurement tasks and network devices; (2) novel network-wide resource optimization for handling network dynamics; and (3) trustworthy sketch deployment into heterogeneous devices to obtain critical telemetry information. The researchers also plan to deploy their network telemetry system at Mass Open Cloud testbed, an open public cloud project led by Boston University and other institutions in Massachusetts. The project will result in the development of open-source tools, algorithms, and prototype implementations that will reduce the time to deploy sketch-based telemetry in real-world scenarios.<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.

06/02/2024

06/02/2024

None

Grant

47.070

1

4900

4900

2431093

{'FirstName': 'Zaoxing', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zaoxing Liu', 'EmailAddress': 'zaoxing@umd.edu', 'NSF_ID': '000842004', 'StartDate': '06/02/2024', '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': '171400', 'Text': 'Special Projects - CNS'}

2021~475178

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431093.xml'}

I-Corps: Translation potential of infrastructure-enabled safe autonomy

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

The broader impact of this I-Corps project is the development of a technology system for smart infrastructure enabled autonomy. The promise of autonomous vehicles (AVs) has not come true despite the tremendous economic and societal benefits of AVs, potentially avoiding 40,000+ fatalities annually. The complexity, unreliability, and cost of additional on-board sensors required for autonomous driving have been major roadblocks preventing significant market deployment and adoption. As a result, the only viable market for AVs has been ride sharing and hauling services. The poor performance of robo-taxis has increased safety concerns over these technologies. For instance, such AVs have blocked road and emergency vehicles. They have also been involved in hundreds of crashes, including fatal ones. A significant portion of the underlying technological challenges can be resolved by leveraging smart infrastructure, leveraging recent dramatic growth in connectivity – 4G-LTE/5G and edge computers. This project will help overcome the challenges associated with complex driving scenarios, such as interaction with emergency vehicles, detecting vulnerable road users, merging onto highways, picking up and dropping off customers, etc. <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 an integrated hardware/software platform that leverages sensors on infrastructure to infer traffic conditions and create a common situational awareness for all entities on the road. The platform sends situational awareness information wirelessly to vehicles and other consumers for real-time use, in-turn enabling multiple benefits, such as lower cost and faster deployment of autonomous vehicles, improved vulnerable road user safety, traffic optimization, and road maintenance. For these applications to be effective, situational awareness needs to be generated in real-time and be reliable across a range of sensing and communication faults and environmental conditions (adverse conditions). The core algorithms and software implementations developed during research based on resilient data fusion, enable automatic detection, mitigation, and graceful recovery from adverse conditions.<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

2431110

{'FirstName': 'Swaminathan', 'LastName': 'Gopalswamy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Swaminathan Gopalswamy', 'EmailAddress': 'sgopalswamy@tamu.edu', 'NSF_ID': '000759611', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433123', 'StreetAddress': '3123 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431110.xml'}

CAREER: Zwitterionic Metal-Organic Frameworks with Multi-Stimulus-Responsive Properties

NSF

06/01/2024

02/28/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Birgit Schwenzer', 'PO_EMAI': 'bschwenz@nsf.gov', 'PO_PHON': '7032924771'}

Non-technical Abstract:<br/>This CAREER project is an integrated research, education, and outreach program funded by the Solid-State and Materials Chemistry program of the Division of Materials Research. The overall goal of the research plan is to devise strategies that enable the synthesis of a new class of advanced porous materials composed of charge-separated molecular building blocks. These charges can perform a desired function to attract specific guest molecules within the material's pores. In one line of research, the ability of light to interact with these charges will be explored to trigger the release of guest molecules to determine if the material can be regenerated to its original state. This feature would be particularly useful for a multitude of environmental applications that seek the adsorption or separation of gases, such as hydrogen storage and carbon capture respectively with the general objective to counteract global warming. Leveraging the research activities is the educational plan that will allow Clarkson University to offer a stronger, ACS-approved chemistry program, the foundation for a broad, rigorous chemistry education that provides students with the intellectual, experimental, and communication skills to become effective professionals. The outreach program is hands-on and incorporates state-of-the-art crystallography instrumentation to significantly strengthen and expand the high school to college pipeline for students from the rural North Country of New York State by increasing their exposure to and interest in STEM fields and careers. An X-ray diffraction workshop will provide participants with the training to understand and appropriately utilize the most precise method of determining crystal structures, thus allowing the analysis of fundamental structure-property relationship.<br/><br/>Technical Abstract:<br/>The proposed research plan addresses fundamental questions essential to the advancement of functional porous materials with multi-stimulus-responsive adsorption properties and rapid controllable release of guest molecules. Proposed is the use of zwitterionic metal-organic framework (ZW MOF) building blocks whose molecular surfaces show well-separated intramolecular charges with tunable electric field gradients. These gradients present potential multi-point adsorption sites that can be designed at a molecular level within the zwitterionic ligands prior to MOF self-assembly. Once zwitterions are incorporated into MOFs, their electric field gradients yield charged organic surfaces (COSs) within the pores, which in turn polarize guest molecules, resulting in defined adsorption properties. The most important feature of zwitterions is their sensitivity to external stimuli (e.g. light or electrochemical), resulting in switchable COSs that enable significant control and tunability of adsorption properties. Specific approaches are to: (1) Design and investigate ZW ligands as a new, simple, and controllable means to introduce COSs into pore linings to create MOFs with defined host-guest interactions; (2) Explore post-synthetic modification reactions as alternative routes for introducing ZW functionalities into MOFs; and (3) Demonstrate and optimize the multi-stimulus-responsive tunability of COSs by controllable release of guest molecules from MOF pores. These experiments will ultimately provide a powerful tool to tailor MOFs with tunable host-guest interactions and will generate fundamental knowledge on a novel type of multi-stimulus-responsive material with distinct adsorption and desorption properties.<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

47.049

1

4900

4900

2431245

{'FirstName': 'Mario', 'LastName': 'Wriedt', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mario Wriedt', 'EmailAddress': 'mwriedt@clarkson.edu', 'NSF_ID': '000671122', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'ZipCode': '750803021', 'PhoneNumber': '9728832313', 'StreetAddress': '800 WEST CAMPBELL RD.', 'StreetAddress2': 'SP2.25', 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'TX24', 'ORG_UEI_NUM': 'EJCVPNN1WFS5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT DALLAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Dallas', 'CityName': 'RICHARDSON', 'StateCode': 'TX', 'ZipCode': '750803021', 'StreetAddress': '800 WEST CAMPBELL RD.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'TX24'}

[{'Code': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}, {'Code': '176200', 'Text': 'SOLID STATE & MATERIALS CHEMIS'}]

2022~21481

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431245.xml'}

Conference: Advancing a Cultural Understanding of the Mexican Networks for inclusion into AccelNet GERI

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Kara C. Hoover', 'PO_EMAI': 'kchoover@nsf.gov', 'PO_PHON': '7032922235'}

We have embarked on building a global ecological Network-of-Networks (NoN), starting with six Environmental Research Infrastructures (ERIs) from around the world. This effort has come together under the Global Ecosystem Research Infrastructure (GERI) to tackle challenges in understanding the biosphere’s response to environmental changes, providing crucial information to researchers, managers, and decision-makers alike. We now seek to extend GERI to include networks and infrastructures from currently unrepresented regions and countries. As part of establishing a strong foundation in GERI, the founding networks have developed a robust cross-cultural understanding and social fabric within which they operate. GERI’s NoN roadmap, network activities, and scientific goals build upon this foundation. Since each network has its own cultural identity—including individual-to-national ways of working, perceptions, biases, strengths, science disciplines, challenges, and synergies—bringing new networks into GERI requires careful consideration of these diverse attributes and how they manifest in building a more inclusive and effective NoN. This workshop proposal is designed to assess the cultural framework and roadmap the inclusion of five Mexican networks into GERI. The workshop aims to (i) engender ownership and belonging among these networks within the GERI NoN, thereby facilitating an inclusive partnership; (ii) bring together early-career representatives from each network who will integrate GERI into their ongoing professional careers; and (iii) begin roadmapping an equitable process for the inclusion of new networks from underrepresented regions into GERI.<br/><br/>The Global Ecosystem Research Infrastructure (GERI) aims to enhance our understanding of and response to environmental changes affecting our planet. Our goal is to expand GERI by incorporating additional networks from regions and countries that have not yet been represented. The GERI network is built on a strong foundation of diverse cultural practices and scientific approaches from its founding members. As we integrate new networks, it’s crucial to consider their unique cultural identities and ways of working to enhance the network’s overall effectiveness. This specific workshop focuses on integrating five Mexican networks into GERI. The workshop aims to make these networks feel a part of GERI, helping them recognize the benefits and contributions they can bring to this international effort. We will also start to plan how to include more networks from other underrepresented regions fairly and effectively. The workshop will gather early-career professionals from these Mexican networks, who will use GERI throughout their careers, helping them to build their skills and understanding of global ecological challenges. It’s also an opportunity to learn from each other and apply these insights more broadly in future collaborations. In short, this workshop is not just about integrating these Mexican networks into GERI; it's about preparing the next generation of scientists to work collaboratively across borders and disciplines, fostering a diverse and inclusive global scientific community.<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.

06/11/2024

06/11/2024

None

Grant

47.079

1

4900

4900

2431267

{'FirstName': 'Michael', 'LastName': 'SanClements', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael SanClements', 'EmailAddress': 'msanclements@battelleecology.org', 'NSF_ID': '000644208', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Battelle Memorial Institute', 'CityName': 'COLUMBUS', 'ZipCode': '432012696', 'PhoneNumber': '6144244873', 'StreetAddress': '505 KING AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OH03', 'ORG_UEI_NUM': 'F125YU6SWK59', 'ORG_LGL_BUS_NAME': 'BATTELLE MEMORIAL INSTITUTE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Battelle Memorial Institute', 'CityName': 'Columbus', 'StateCode': 'OH', 'ZipCode': '432012696', 'StreetAddress': '505 KING AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '069Y00', 'Text': 'AccelNet - Accelerating Resear'}

2024~49610

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431267.xml'}

CRII: CNS: Integrated Sensing and Communication with Optical Wireless: A Retro-reflective Link Design

NSF

08/15/2024

09/30/2025

{'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': 'Alhussein Abouzeid', 'PO_EMAI': 'aabouzei@nsf.gov', 'PO_PHON': '7032920000'}

Integrated sensing and communication with optical wireless (ISAC-OW) is a potential 6G enabling technology. Leveraging visible light and infrared spectrums, high-precision sensing and positioning, and high-speed mobile communication can be realized in a single system, enabling advanced solutions for future 6G scenarios, such as smart hospitals and industrial automation. The retro-reflective optical uplink is a promising emerging solution to ISAC-OW that offers several favorable features including hassle-free alignment, minimal interference to adjacent links, microwatt power consumption, low hardware complexity, glaring-free and sniff-proof, and enables simultaneous sensing, positioning and communication with a compact-size tag under a single luminaire. However, the potential of retro-reflective link-based ISAC-OW technology is tempered by basic theoretical and technology development challenges that require a cross-disciplinary approach. The project will investigate fundamental design trade-offs in a retro-reflective uplink enabled ISAC-OW system for large-scale networks. The expected project results advance the state-of-the-art of basic theory and practical design strategies for ISAC-OW system. The project provides cross-disciplinary training opportunities for under-represented students spanning communication theory and signal processing, optical wireless system and circuit design, and wireless networking.<br/><br/>The proposed research develops a new cross-domain framework for integrated design of efficient and scalable retro-reflective uplink enabled ISAC-OW networks. The project is anchored on four key research goals: 1) Modeling the retro-reflective optical link and investigating the hardware design of light reader and retro-reflective tag to convey as much luminous flux as possible from the emitter to the receiver; 2) Investigation of MAC protocols to fully exploit the physical (PHY) layer capabilities and address concurrent transmission challenges; 3) Development of an efficient and flexible spectrum allocation strategy for joint sensing and communication; and 4) Integrated system modeling and assessment for performance-complexity-energy optimization and testbed-based experimental validation of hardware and protocols. The proposed research features investigation of several key operational requirements, including analytical optical models of ISAC-OW, dynamic hardware reconfigurability and scalability, concurrent transmission mechanism and new spectrum allocation methods for ISAC in different use cases. The proposed research acts as a catalyst for cross-disciplinary design and analysis of emerging ISAC-OW system in industry and academia to meet the connected intelligence and application requirements.<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

47.070

1

4900

4900

2431272

{'FirstName': 'Sihua', 'LastName': 'Shao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sihua Shao', 'EmailAddress': 'sihua.shao@mines.edu', 'NSF_ID': '000813635', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Colorado School of Mines', 'CityName': 'GOLDEN', 'ZipCode': '804011887', 'PhoneNumber': '3032733000', 'StreetAddress': '1500 ILLINOIS ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'CO07', 'ORG_UEI_NUM': 'JW2NGMP4NMA3', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF THE COLORADO SCHOOL OF MINES', 'ORG_PRNT_UEI_NUM': 'JW2NGMP4NMA3'}

{'Name': 'Colorado School of Mines', 'CityName': 'GOLDEN', 'StateCode': 'CO', 'ZipCode': '804011887', 'StreetAddress': '1500 ILLINOIS ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'CO07'}

{'Code': '736300', 'Text': 'Networking Technology and Syst'}

2023~172848

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431272.xml'}

Participant Support for 2024 Gordon Research Conference on Additive Manufacturing of Soft Materials, Smithfield, Rhode Island; 11-16 August 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': 'Pranav Soman', 'PO_EMAI': 'psoman@nsf.gov', 'PO_PHON': '7032924322'}

This award provides participant support for a broad group of researchers to attend the 2024 Gordon Research Conference (GRC) on Additive Manufacturing of Soft Materials, Smithfield, Rhode Island; 11-16 August 2024. Additive manufacturing (AM), commonly termed 3D printing, represents a new direction in the fabrication of functional structures with precise geometric shapes. The conference will focus on the design of next-generation materials with functionality that is suitable for diverse AM printing techniques together with physical property measurements, and design of new printing operations. The conference will weave a thread of sustainability, recycling, and circularity into the program to expose the audience to the importance of end-of-life considerations when designing next-generation materials. This award would help expose new researchers to the field of additive manufacturing, nurture networking among scientists and engineers at all levels, and catalyze new convergence of disciplines. This conference provides professional development opportunities for graduate students and early career researchers to present the results of their research and interact with a larger network of professionals with specific priority given to women, graduate students, postdoctoral fellows, and/or early career investigators from underrepresented minority groups, and persons with disabilities.<br/><br/>This conference brings together established leaders and early career stage professionals in fields relevant to Additive Manufacturing of soft materials. This conference provides a forum for the presentation and discussion of results related to next-generation soft materials for future additive manufacturing modalities. Topics covered in this conference range from digital design, multiscale simulations, artificial intelligence and machine learning, multimodality manufacturing methods, materials synthesis, multi-material printing, composites, and performance engineering will have broad impact on the field. Attendees will include researchers from sustainability scientists and manufacturing engineers to entrepreneurs, designers, artists, and educators. Particular attention will be devoted to the introduction of photo-reactivity for light-based AM printing platforms together with photo-rheological measurements to predict printability. Recent efforts in machine learning, computational modeling, and artificial intelligence will guide topology optimization. The conference will speak to the importance of dematerialization and mono-materialization, which represent two critical pathways for sustainable material discovery.<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

2431490

[{'FirstName': 'Timothy', 'LastName': 'Long', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy E Long', 'EmailAddress': 'Timothy.E.Long@asu.edu', 'NSF_ID': '000147591', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Andrew', 'LastName': 'Boydston', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrew J Boydston', 'EmailAddress': 'aboydston@wisc.edu', 'NSF_ID': '000570451', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Co-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': '088Y00', 'Text': 'AM-Advanced Manufacturing'}

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431490.xml'}

I-Corps: Translation potential of synthetic data generation to audit face recognition systems

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

The broader impact of this I-Corps project is the development of infrastructure to promote robust, automated face recognition systems. To date, face recognition systems have broadly proliferated across various industries, including commercial and governmental domains. Automated face recognition enables many applications including identifying individuals on social media, locating missing persons, assisting law enforcement and surveillance activities, and authenticating personal identities. Unfortunately, there are still significant concerns which prevent automated face recognition by smaller organizations. This technology makes face recognition systems both auditable and finely tunable. These properties can potentially mitigate many of the concerns that have prevented widespread deployment. Consequently, face recognition deployments, if used in conjunction with this technology, will become more acceptable while increasing efficacy and improving fairness properties.<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 system to generate synthetic face data, to be used to audit and tune face recognition systems. This technology is based on generating synthetic face data though novel systematization of text-to-image generative image architectures. Users can synthesize high-quality faces for different text-specified facial semantics. These generated faces may be subsequently used to assess face recognition model performance or to tune under-performing systems. Synthetically generated faces have a high degree of utility when natural face images are too expensive or are otherwise impossible to collect. The recent literature shows that face recognition systems, in practice, exhibit hard-to-detect conditional failure modes. These failure modes imply that face recognition systems are not robust to changes in inputs and have demographic disparities. This solution debugs failures in current face recognition systems through well-curated synthetic data. The approach to face recognition validation and tuning was preliminary verified by a human study.<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

2431502

{'FirstName': 'Kassem', 'LastName': 'Fawaz', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kassem M Fawaz', 'EmailAddress': 'kfawaz@wisc.edu', 'NSF_ID': '000756564', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'ZipCode': '537151218', 'PhoneNumber': '6082623822', 'StreetAddress': '21 N PARK ST STE 6301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_UEI_NUM': 'LCLSJAGTNZQ7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WISCONSIN SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Wisconsin-Madison', 'CityName': 'MADISON', 'StateCode': 'WI', 'ZipCode': '537151218', 'StreetAddress': '21 N PARK ST STE 6301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Wisconsin', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'WI02'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431502.xml'}

Conference: WORKSHOP: Broadening Access to Research Opportunities in Northeast and Atlantic EPSCoR States

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Ishita Mukerji', 'PO_EMAI': 'imukerji@nsf.gov', 'PO_PHON': '7032922499'}

This project supports a conference that will broaden the reach of NSF-funded research across five states (Maine, New Hampshire, Vermont, Rhode Island, and Delaware) located in the Atlantic and Northeast regions of the United States. These states have historically received less than average NSF funding. Principal Investigators (PIs) from different types of institutions across the states will be invited to participate. The conference will give participants the opportunity to gain new knowledge on how to develop well-designed research projects and write strong research proposals. This will enhance the competitiveness of participating PIs in securing NSF grants. NSF program officers (POs) representing the four different clusters within the Division of Molecular and Cellular Biosciences (MCB) will also attend the conference. These POs will provide information on the different types of funding opportunities available at the NSF. The POs will also share insights into the grant proposal application process.<br/><br/>The conference will be held at the University of New Hampshire (UNH), a public research university located in Durham, NH. Invitations will be extended to PIs from universities and colleges of all types in the geographic region served by the conference. These will include research universities like UNH, Primarily Undergraduate Institutions (PUIs), Minority-Serving Institutions (MSIs), and Historically Black Colleges and Universities (HBCUs). A particular focus will be placed on ensuring strong representation of women investigators and investigators from groups historically under-represented in STEM. During the conference, participants will have many opportunities to interact with each other and will be encouraged to explore possible collaborations that could enhance cross-institutional connections and lead to stronger grant proposal applications. The overall impact of the conference will be extensive: it will not only directly benefit the participants, but it will be further amplified as PIs will likely share their newly acquired knowledge with colleagues at their home institutions 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.

05/29/2024

05/29/2024

None

Grant

47.074

1

4900

4900

2431537

[{'FirstName': 'Louis', 'LastName': 'Tisa', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Louis S Tisa', 'EmailAddress': 'louis.tisa@unh.edu', 'NSF_ID': '000171991', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Anna', 'LastName': "O'Brien", 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Anna M O'Brien", 'EmailAddress': 'anna.obrien@unh.edu', 'NSF_ID': '000735058', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sean', 'LastName': 'Edington', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sean S Edington', 'EmailAddress': 'sean.edington@unh.edu', 'NSF_ID': '000966516', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of New Hampshire', 'CityName': 'DURHAM', 'ZipCode': '038242620', 'PhoneNumber': '6038622172', 'StreetAddress': '51 COLLEGE RD', 'StreetAddress2': 'BLDG 107', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'StateCode': 'NH', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NH01', 'ORG_UEI_NUM': 'GBNGC495XA67', 'ORG_LGL_BUS_NAME': 'UNIVERSITY SYSTEM OF NEW HAMPSHIRE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of New Hampshire', 'CityName': 'DURHAM', 'StateCode': 'NH', 'ZipCode': '038242620', 'StreetAddress': '51 COLLEGE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NH01'}

{'Code': '727500', 'Text': 'Cross-BIO Activities'}

2024~81578

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431537.xml'}

Collaborative Research: Investigation of Mass and Energy Transfer Mechanisms in Stimuli-Responsive Smart Sorbents for Direct Air Capture

NSF

01/01/2024

07/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Christina Payne', 'PO_EMAI': 'cpayne@nsf.gov', 'PO_PHON': '7032922895'}

Mitigating and removing greenhouse gas emissions such as carbon dioxide (CO2) from the atmosphere is one of today's most pressing grand challenges. One possible approach to address this challenge is through direct air capture technologies (DAC). DAC technologies can extract CO2 directly from the atmosphere to be stored permanently. Traditional methods for separating gaseous mixtures involve either adsorbing high-pressure gases onto a solid surface and releasing (desorbing) them when the pressure is reduced (known as pressure swing adsorption) or using temperature changes to achieve separation (known as temperature swing adsorption). However, these methods are unsuitable for DAC systems because the concentration gradient, which drives the mass transfer of CO2, is very small. As a result, these methods are highly inefficient in terms of energy usage. Additionally, the current state-of-the-art sorbent materials based on amines or ionic liquids require a lot of energy to desorb the CO2 and regenerate the sorbents. Furthermore, since most sorbent materials have low thermal conductivity, externally heating them for regeneration is inefficient and leads to additional heat losses. It is crucial to develop new materials and technologies that can address these drawbacks and enable the successful implementation of large-scale DAC systems. This project will investigate a class of CO2 sorbent materials that can be induced to release the adsorbed CO2 by applying an external magnetic field. The magnetic field generates local heat within the material, so external energy input is not required. The research will yield new insights into the fundamental energy and mass transfer mechanisms in these magnetic field-responsive sorbents (MF-RSs). The project will also provide opportunities for undergraduate student research experiences, curriculum development, and K-12 STEM outreach at the Missouri University of Science & Technology and the University of Southern California.<br/><br/>The purpose of this work is to gain a fundamental understanding of energy and mass transfer mechanisms in MF-RSs for use in DAC systems, namely, composites of F3O4 magnetic nanoparticles and microporous metal-organic frameworks (F3O4/MOF-amine) or mesoporous aminosilicates (Fe3O4/SiO2-amine). The external magnetic field generates local heat due to the static hysteresis and dynamic core losses of the magnetic nanoparticles. The adsorbed CO2 is desorbed without external heating, overcoming the issue of low thermal conductivity of most sorbent materials and avoiding the heat losses accompanying externally heated methods. Computational and experimental investigations will be conducted to understand the factors affecting CO2 release and system regeneration in MF-RSs. The intermolecular attractions that result in the low-energy release of CO2 from magnetic sorbents upon exposure to an external magnetic field will be characterized. Specifically, the research will probe the extent of electron transfer perturbation upon magnetic field induction. The study will also elucidate the effects of heat capacity-magnetization tradeoffs on diffusive thermal and molecular transfers. Finally, the magnetic field-triggered CO2 transport mechanisms during sorbent regeneration in the presence of oxygen, nitrogen, and water will be investigated. A host of experimental and computational techniques will be applied to reveal the energy and mass transfer mechanisms of CO2 adsorption and desorption from MF-RSs in the presence of an external magnetic field. These techniques include molecular-level in-situ spectroscopic measurements and transient desorption tests such as electron paramagnetic resonance (EPR) spectroscopy, frequency-domain thermoreflectance (FDTR), zero-length column (ZLC), and magnetic induction swing adsorption (MISA), which will be combined with density-functional theory (DFT) and nanoscale molecular dynamics simulations. The investigation will open new avenues for developing low-energy sorbent regeneration systems.<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

2431601

{'FirstName': 'Fateme', 'LastName': 'Rezaei', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Fateme Rezaei', 'EmailAddress': 'rezaeif@miami.edu', 'NSF_ID': '000680092', 'StartDate': '06/20/2024', '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': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

{'Code': '141700', 'Text': 'Interfacial Engineering Progra'}

2023~339822

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431601.xml'}

Student Travel Support for Industrial Engineering and Operations Management (IEOM) World Congress; Detroit, Michigan; 9-11 October 2024

NSF

07/01/2024

12/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Khershed Cooper', 'PO_EMAI': 'khcooper@nsf.gov', 'PO_PHON': '7032927017'}

This award provides participant support for students and young researchers to attend the World Congress on Industrial Engineering and Operations Management (IEOM) World Congress in Detroit, Michigan, 9-11 October 2024. The conference focuses on research and development activities in advanced manufacturing and digital technologies. US and international researchers present their research results on advanced manufacturing and digital technologies in oral and poster sessions. The conference impacts the engineering and manufacturing communities. Priority is given to participation by women and under-represented minority groups, which promotes diverse participation at the conference. This award benefits the nation through the education of a skilled science and engineering workforce, which is better prepared to provide transformative solutions to the challenges in their chosen fields. This symposium plays an important role in supporting and sustaining the field of advanced manufacturing, which has many important applications in transportation, energy, microelectronics, and other industrial sectors.<br/><br/>This participant support is expected to benefit the students’ and young researchers’ professional, scientific, and technical development. Attendance at the conference gives the students and young faculty a broader view of advanced manufacturing and digital technologies, its fundamentals and practice. The conference discusses specialized topics related to advanced manufacturing such as vehicle electrification, AI in manufacturing, smart mobility, smart manufacturing, robotics in manufacturing, digital twins, and industrial automation. Besides technical research, the conference plans to hold workshops on geometric dimensioning and tolerancing (GD&T), production part approval process (PPAP), and programmable logic controller (PLC), and panels on smart mobility, EV charging and others. At the conference, concepts and challenges in advanced manufacturing are identified and presented, and attendees chart new paths forward in the field and rally a new generation of researchers toward them. The conference is attended by US and international researchers, which provides an opportunity for a variety of perspectives to be presented and discussed. The conference is an opportunity for participants to showcase their scientific accomplishments and interact with peers and colleagues in academia, government laboratories and industry.<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

2431606

{'FirstName': 'Ahad', 'LastName': 'Ali', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ahad Ali', 'EmailAddress': 'aali@ltu.edu', 'NSF_ID': '000334804', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Lawrence Technological University', 'CityName': 'SOUTHFIELD', 'ZipCode': '480751051', 'PhoneNumber': '2482042103', 'StreetAddress': '21000 W 10 MILE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'MI12', 'ORG_UEI_NUM': 'PF53FKHZST32', 'ORG_LGL_BUS_NAME': 'LAWRENCE TECHNOLOGICAL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Lawrence Technological University', 'CityName': 'SOUTHFIELD', 'StateCode': 'MI', 'ZipCode': '480751051', 'StreetAddress': '21000 W 10 MILE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'MI12'}

{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}

2024~26306

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431606.xml'}

11th International Workshop on Modeling in Crystal growth (IWMCG-11) & 1st International School on Modeling in Crystal Growth (ISMCG-1); Timisoara, Romania; 22-25 September 2024

NSF

09/01/2024

08/31/2025

{'Value': 'Standard Grant'}

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

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

This grant provides travel support to promote the attendance of US researchers at the 11th International Workshop on Modeling in Crystal Growth (IWMCG-11) and the 1st International School on Modeling in Crystal Growth (ISMCG-1). This workshop and school will be hosted at the West University of Timisoara, Timisoara, Romania, 19-25 September 2024, and will bring together top senior and promising junior researchers of both academe and industry from the United States, Europe, Asia, and other parts of the world to identify common priorities, allow the exchange of new ideas, and foster future collaborative work. This award will support US researchers, with priority funding of young researchers (graduate students, post-doctoral fellows, and young faculty), to participate in these symposia, where they will be exposed to cutting-edge research and to the broadly-based, international community of this field. The topic of the workshop addresses an area, crystal growth, that has been identified by the National Research Council as strategically important and in need of strengthening in the U.S. Advances in this area will impact advanced manufacturing processes that affect electronic and photonic devices for information, energy, defense, and detector systems, the production of fine chemicals and pharmaceuticals, and more. Improvements in these crystal-base systems will favorably impact wide-ranging domains relevant to national prosperity, defense, and health.<br/><br/>In addition to promoting discourse and collaboration among researchers in this area, the support of this workshop will promote an important and timely research topic. Crystal growth is itself profoundly interesting and significant, and modeling such processes, the focus of the workshop and school, is inherently interdisciplinary and demanding. From a fundamental vantage point, studying crystal growth yields important understanding of thermodynamic phase change, associated self-assembly and pattern-formation phenomena, and kinetic and transport limitations to growth. From a technological viewpoint, a successful crystal growth process represents a quintessential advanced manufacturing system, whose successful modeling and subsequent understanding, control, and optimization are inherently challenging and valuable. NSF support will allow researchers in the US an opportunity to advance their careers through international exposure and future collaboration in this area.<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

47.041

1

4900

4900

2431607

{'FirstName': 'Jeffrey', 'LastName': 'Derby', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeffrey J Derby', 'EmailAddress': 'derby@umn.edu', 'NSF_ID': '000385368', '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': 'University of Minnesota-Twin Cities', 'CityName': 'MINNEAPOLIS', 'StateCode': 'MN', 'ZipCode': '554552009', 'StreetAddress': '200 OAK ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}

2024~20001

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431607.xml'}

EAGER: The Sociolegal Dynamics of Property in Post-Disaster Contexts

NSF

06/15/2024

11/30/2025

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'Jeffrey Mantz', 'PO_EMAI': 'jmantz@nsf.gov', 'PO_PHON': '7032927783'}

This project explores the process of property formation following a major disaster. While much attention has been given to the rapid privatization of land following disaster (a process commonly referred to as disaster capitalism), this project focuses on the post-disaster period when the form of property is not yet determined, private or otherwise. Indeed, after the emergency phase of the disaster has passed, property often remains in flux, caught up in local resistance efforts, political wrangling, and contested legal matters. By focusing on this interim period, this research is able to study the way in which law and legal decisions come to matter in differing claims to property. Privatization is neither a facile nor foregone process, and law is neither always nor the only way that different societies relate to land and their claim to it. As the severity and frequency of disasters has escalated, this research has broad implications by building an understanding of how law impacts society at large and marginalized communities more specifically as they recover and reclaim property. <br/> <br/>This early concept grant for exploratory research (EAGER) project investigates the process of property formation in the aftermath of natural disaster. The guiding research questions are: how does landownership take shape following a major disaster? And how are laws and legal decisions taken up (or not) when making a claim to a particular model of property? To answer these questions, the researcher will conduct a series of three ethnographic research trips over the course of 18 months. The site of the research is a community that was directly affected by a major hurricane several years ago and is now actively negotiating the shape that property will take in the wake of the disaster, recent landmark legal decisions, and an external push to privatize. The researcher will conduct interviews, participant observation, and media and social media analysis.<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

47.075

1

4900

4900

2431624

{'FirstName': 'Lee', 'LastName': 'Cabatingan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lee Cabatingan', 'EmailAddress': 'lcabatin@uci.edu', 'NSF_ID': '000592450', 'StartDate': '06/13/2024', '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': '926970001', 'StreetAddress': '2303 Social Ecology 2', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_PERF': 'CA47'}

{'Code': '139000', 'Text': 'Cultural Anthropology'}

2024~27698

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431624.xml'}

Collaborative Research: Identification of Lignin-derived Ligands Associating With Iron

NSF

07/01/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '03090000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'CHE', 'LongName': 'Division Of Chemistry'}}

{'SignBlockName': 'Anne-Marie Schmoltner', 'PO_EMAI': 'aschmolt@nsf.gov', 'PO_PHON': '7032924716'}

With support from the Environmental Chemical Sciences Program of the NSF Division of Chemistry, Yu Yang of the University of Nevada, Reno and Rene Boiteau of Oregon State University are studying iron complexes derived from lignin-based organic compounds. Iron oxide-associated organic carbon is one of the largest reservoirs of carbon on the Earth’s surface. Predicting changes to the size of soil carbon reservoirs and sustainably managing soil and water quality is an important challenge. A rigorous understanding of the chemical nature of iron-organic carbon complexes has the potential to assist scientists in this endeavor. So far, the origin and formation mechanism of soil organic carbon in complex with iron remain poorly understood. As a primary precursor for soil organic carbon, plant-derived lignin can be degraded into compounds that may bind to iron oxides. This project aims to uncover the chemical nature of lignin-derived ligands for iron. Soil carbon is an important part of the Earth's carbon cycle, and an element of this cycle that is highly relevant to climate. Graduate, undergraduate, and K-12 students will be engaged in this research at both institutions. Leveraging an NSF-funded Innovations in Graduate Education project, a summer camp module will be developed focusing on environmental chemistry relevant to sustainability, to increase the representation of first-generation students and underrepresented groups in graduate studies in science.<br/> <br/>This project sets out to develop targeted and non-targeted methods to detect and quantify lignin-derived ligands and their iron complexes by liquid chromatography together with high resolution electrospray ionization mass spectrometry and inductively coupled plasma mass spectrometry. The method will be developed and validated with a set of known lignin degradation products and used to characterize the iron-binding products formed by microbial degradation of lignin in pure culture and soil incubation. It is expected that these studies will help elucidate the chemical nature of biopolymer (lignin)-derived iron ligands and their complexes and provide insights into the chemical mechanisms that fractionate soil organic carbon, ultimately governing soil organic carbon stocks. Such understanding is critical for developing predictive models for the nature and form of soil-constrained organic carbon. The methods developed in this project are expected to be broadly applicable for the investigation of other biopolymer (cellulose, cutin, and others)-derived ligands in soil and aqueous environments.<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

2431670

{'FirstName': 'Rene', 'LastName': 'Boiteau', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rene Boiteau', 'EmailAddress': 'rboiteau@umn.edu', 'NSF_ID': '000769999', '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': '554552009', 'StreetAddress': '200 OAK ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

{'Code': '688200', 'Text': 'Environmental Chemical Science'}

2021~151529

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431670.xml'}

REU Site: Enhancing Undergraduate Experiences in Data and Mobile Cloud Security

NSF

07/01/2024

02/28/2027

{'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': 'Nicholas Goldsmith', 'PO_EMAI': 'nicgolds@nsf.gov', 'PO_PHON': '7032928950'}

Indiana University-Purdue University Indianapolis aims to continue the exceptional work of this Research Experiences for Undergraduates (REU) Site at Indianapolis, Indiana. It is dedicated to enrolling talented undergraduates from across the nation who are keen on delving into research themes concerning cybersecurity, data security and privacy, and mobile cloud security. The research focus revolves around investigating issues pertaining to the security and privacy of mobile data, encompassing the secure utilization of mobile devices like smartphones and ensuring the safety of digital assets within mobile clouds. The domain of data and mobile cloud security is both pertinent and promising for undergraduate research productivity. Students will engage in controlled and competitive test environments to explore cyber-attack and defense techniques necessary for safeguarding the ubiquitous mobile devices in our society. This program aims to cultivate a cohort of computing professionals capable of designing future systems that profoundly influence society and elevate our quality of life. Through the REU experience, students gain essential foundations and inspiration to pursue computing careers and research in rapidly evolving fields that significantly impact our community.<br/><br/>Led by an exceptional team, this project boasts state-of-the-art facilities and seasoned mentors who will guide undergraduates in tackling cutting-edge challenges related to data and mobile cloud security. Students will acquire hands-on experience in utilizing contemporary tools and techniques to address issues directly impacting individuals. Employing effective strategies, the team aims to recruit undergraduate students from demographic groups traditionally underrepresented in computer science, such as African American, Hispanic, and female students. Participants will engage in research and professional development activities meticulously designed to accomplish several goals: retaining and graduating undergraduate students in computer science and engineering, attracting students from underrepresented groups in computing fields, and bolstering enrollment in graduate programs.<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

2431725

{'FirstName': 'Feng', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Feng Li', 'EmailAddress': 'fengli@iupui.edu', 'NSF_ID': '000550358', 'StartDate': '05/19/2024', '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': '479061332', 'StreetAddress': '2550 NORTHWESTERN AVE # 1100', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '113900', 'Text': 'RSCH EXPER FOR UNDERGRAD SITES'}

2024~469999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431725.xml'}

2024 Alan T. Waterman Award

NSF

07/01/2024

06/30/2029

{'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': 'Goli Yamini', 'PO_EMAI': 'gyamini@nsf.gov', 'PO_PHON': '7032925367'}

The National Science Foundation (NSF) has named Dr. Muyinatu Bell as the 2024 recipient of its Alan T. Waterman Award. This award is NSF's highest honor that annually recognizes an outstanding researcher age 40 years or younger and funds his or her research in any field of science or engineering. This year's awardee will receive a $1 million grant over a five-year period for further advanced study in her field.<br/><br/>Dr. Bell is an associate professor at Johns Hopkins University, best known for inventing the short-lag spatial coherence (SLSC) ultrasound beamformer, which significantly improves ultrasound image quality by reducing acoustic clutter. She has also adapted the SLSC technology to photoacoustic imaging, most recently using it to overcome problems related to skin tone bias. Dr. Bell is a lecturer, mentor and scientific role model committed to engaging a diverse research community by serving in leadership roles on committees and programs aimed at supporting women in physics, computer science and engineering. She is the recipient of NSF awards from the Faculty Early Career Development (CAREER) program and the Smart Health 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.

06/21/2024

06/21/2024

None

Grant

47.041, 47.070, 47.083

1

4900

4900

2431810

{'FirstName': 'Muyinatu', 'LastName': 'Bell', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Muyinatu A Bell', 'EmailAddress': 'mledijubell@jhu.edu', 'NSF_ID': '000753039', 'StartDate': '06/21/2024', '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': None, 'StateCode': 'MD', 'ZipCode': '212182683', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

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

2024~1000000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431810.xml'}

I-Corps: Translation Potential of a Biosensor Platform for Tissue Evaluation

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 a technology capable of accurately and non-invasively providing diagnostic information for the identification and quantification of clinical signs and symptoms of infection and inflammation in chronic wounds. The solution will provide greater adequacy of wound bed preparation. This technology consists of sensors for real-time, non-invasive, point-of-care diagnostics for tissue evaluation in clinical settings, with a particular focus on the healing of chronic wounds. Ultimately, this technology has the potential to allow clinicians to directly correlate particular medical interventions with specific cellular responses, which could significantly improve patient outcomes and quality of life. <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 semi-synthetic scaffold functionalized with molecular biosensors capable of providing ultra-sensitive, non-invasive monitoring of cell function. This monitoring allows physicians to tackle one of the recent trends in medical diagnostics, which is the development of point-of-care methods to enable rapid, self-supported testing in outpatient or remote settings to complement standard clinical diagnostics. The biosensors are based on aptamers, which have several advantages over antibodies and provide a higher throughput than the currently used common intermediate or end-point destructive assessments (e.g., histology and mass spectroscopy).<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

2431818

{'FirstName': 'Rodrigo', 'LastName': 'Somoza', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rodrigo A Somoza', 'EmailAddress': 'ras286@case.edu', 'NSF_ID': '0000A0790', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'ZipCode': '441061712', 'PhoneNumber': '2163684510', 'StreetAddress': '10900 EUCLID AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_ORG': 'OH11', 'ORG_UEI_NUM': 'HJMKEF7EJW69', 'ORG_LGL_BUS_NAME': 'CASE WESTERN RESERVE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'StateCode': 'OH', 'ZipCode': '441061712', 'StreetAddress': '10900 EUCLID AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'OH11'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431818.xml'}

I-Corps: Translation Potential of a Granular Hydrogel for Tissue Repair

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 minimally invasive, biomaterial filler that augments the current standard of care for patients with cartilage damage. Cartilage damage in the knee inevitably leads to a painful condition known as osteoarthritis which affects over 20 million people in the United States. There is currently no cartilage repair method suitable to repair the tissue following injury, or to halt/prevent progression towards osteoarthritis. Osteoarthritis affects 36% of athletic populations and 94.4% of military populations following injury. For patients who are under 45 years of age, this means there are extremely limited options to delay the progression of the debilitating joint disease. Currently, the only straightforward solution surgeons cite as truly successful is a knee replacement, but this is not recommended until a patient is over the age of 65 due to the lifetimes of knee replacements and complications associated with revision surgery. The novel material explored in this project can be implanted to heal tissue defects, improving quality of life and preventing progression of knee joint degeneration.<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 natural, two-part material for cartilage repair. The first component is a tightly packed slurry of small particles which are composed of the complex proteins found in human cartilage. The second component is a soft gel, that, when mixed with the particles and introduced to the temperature of the body, becomes a strong cartilage-like structure. The novel material forms tissue that closely mimics the natural layered structure of cartilage and the underlying bone. Additionally, the material is ‘flowable’ to allow for easy delivery to the injury. Initial analysis of the material has shown that the natural structure integrates well with the tissue around the injury and performs similarly to cartilage under loading and sliding – the key movements involved in the knee joint during everyday movement.<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

2431820

{'FirstName': 'Corey', 'LastName': 'Neu', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Corey P Neu', 'EmailAddress': 'coreyneu@gmail.com', 'NSF_ID': '000503532', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803090001', 'StreetAddress': '3100 MARINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431820.xml'}

Travel: 14th International Conference on Light and Color in Nature and Art

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': 'Yu Gu', 'PO_EMAI': 'ygu@nsf.gov', 'PO_PHON': '7032928796'}

This project provides travel support for approximately 9 researchers, with priority given to students, underrepresented participants, and early-career scientists, to participate in the 14th International Conference on Light and Color in Nature organized as a scientific workshop at Leiden University in the Netherlands in July 2024. This workshop brings together a diverse group of scientists and engineers with expertise in atmospheric and environmental optics to advance the scientific understanding of naked-eye optical phenomena that are visible to a human observer. In addition to satisfying scientific curiosity about what causes different types of rainbows, halos, auroras, and animal iridescence, this research provides understanding that leads to practical applications ranging from new and improved methods of sensing weather and environmental conditions to bio-inspired nanostructures that form the basis of advanced materials used for beauty and function. This particular workshop emphasizes collaborative development of tools that leverage smartphones and everyday devices for improved outreach and education so that people of all ages learn how to see and better understand the beauties of the natural world. <br/><br/>The scope of this workshop is atmospheric and environmental optics, beginning with meteorology and extending into the water and including biological vision and artistic rendering of natural scenes. Topics include any optical phenomenon that can be observed with the naked eye, such as rainbows, halos, auroras, and colors in the sky, water, biology, and art. Scientists and artists will share their new research and learn from their colleagues’ often-unfamiliar work to foster learning across optical disciplines and integration of those disciplines’ disparate ideas. A theme running throughout this workshop is a rigorous discussion of how ubiquitous smartphones can be used for scientific observations by scientists and citizens alike. These discussions will confront the challenges of calibration and consistency of the images recorded with these devices and will seek solutions in the form of observational methodologies designed to be robust to these uncertainties while still providing meaningful and quantifiable results. A primary outcome will be new ways for scientists and artists to promote curiosity and understanding of the natural world.<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

47.050

1

4900

4900

2431828

{'FirstName': 'Joseph', 'LastName': 'Shaw', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph A Shaw', 'EmailAddress': 'jshaw@ece.montana.edu', 'NSF_ID': '000473287', 'StartDate': '05/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'ZipCode': '59717', 'PhoneNumber': '4069942381', 'StreetAddress': '216 MONTANA HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Montana', 'StateCode': 'MT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MT01', 'ORG_UEI_NUM': 'EJ3UF7TK8RT5', 'ORG_LGL_BUS_NAME': 'MONTANA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'StateCode': 'MT', 'ZipCode': '59717', 'StreetAddress': '216 MONTANA HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Montana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MT01'}

{'Code': '152500', 'Text': 'Physical & Dynamic Meteorology'}

2024~18450

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431828.xml'}

I-Corps: Translation potential of continuous-flow System for per- and polyfluoroalkyl substance remediation and degradation

NSF

06/15/2024

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 a novel, 2-in-1 technology that can absorb and destroy "forever chemicals". Current solutions on the market are expensive, energy and time intensive, hard to implement, and leave behind forever chemical-contaminated waste products, which results in risks of litigation and difficulties in complying with existing and upcoming regulations. The estimated market size for industries that use forever chemicals is over $4 billion, with potential for the market to grow to $6.5 billion by 2030. Since 2012, 6,000+ cases have been filed, with over $6 billion in liabilities for remediation. This technology helps address this problem providing an easy-to-implement system that requires less energy than all competing destruction technologies, helping manufacturers to stop polluting the communities they serve. <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 water treatment system that can continuously degrade forever chemicals with Ultraviolet light at room temperature in a single, continuous stream. The reactor contains organic-based adsorbent photocatalysts. These materials make excellent adsorbents due to their hierarchical porous structure that gives them extremely high surface areas. There has been no feasible method of mass producing these photocatalysts until now. This novel technology allows for the absorption of forever chemicals at room temperature for on-site degradation with minimal energy cost and no need for treatment of contaminated absorbent. This solution presents an advantage as most current technologies must destroy forever chemicals in a secondary step where the absorbent must be removed and disposed.<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.

06/11/2024

06/11/2024

None

Grant

47.084

1

4900

4900

2431901

{'FirstName': 'Rafael', 'LastName': 'Verduzco', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rafael Verduzco', 'EmailAddress': 'rafaelv@rice.edu', 'NSF_ID': '000558799', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'William Marsh Rice University', 'CityName': 'Houston', 'ZipCode': '770051827', 'PhoneNumber': '7133484820', 'StreetAddress': '6100 MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'TX09', 'ORG_UEI_NUM': 'K51LECU1G8N3', 'ORG_LGL_BUS_NAME': 'WILLIAM MARSH RICE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'William Marsh Rice University', 'CityName': 'Houston', 'StateCode': 'TX', 'ZipCode': '770051827', 'StreetAddress': '6100 MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'TX09'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431901.xml'}

Travel: NSF Student Travel Grant for 6th IEEE International Conference on Trust, Privacy, and Security in Intelligent Systems and Applications (IEEE TPS 2024)

NSF

10/01/2024

09/30/2025

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

This award will provide funding to support about 15 students at U.S.-based institutions to attend the 6th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (IEEE TPS 2024). TPS is an international multidisciplinary forum for presentation of state-of-the art innovations, along with discussion among academic/industry researchers, policy makers, and practitioners on issues related to trust, privacy, and security in emerging systems that are supported, attacked, and/or defended by artificial intelligence and machine learning. Students selected for travel awards will be exposed to research problems discussed by established researchers, have the opportunity to interact and network with other researchers, and benefit from a special student mentoring session with successful researchers who can act as role models in the field. The conference will be held in Washington D.C. on October 28-30, 2024 and is co-located with the 10th IEEE Conference on Collaboration and Internet Computing (IEEE CIC 2024), and the 6th International Conference on Cognitive Machine Intelligence (IEEE CogMI 2024). Funding from this award will also allow students to interact with attendees from these other conferences, increasing their exposure to research and researchers from other disciplines.<br/><br/>Attending IEEE TPS will be very valuable to students interested in the intersection of two of the most critical areas of research around computing: trust, privacy, and security with artificial intelligence and machine learning. Students will get an opportunity to present their research, receive feedback, and network with established researchers in these areas, allowing young researchers who may otherwise not have the opportunity to attend to develop both the field and their careers. The conference organizers also seek to broaden participation in computing through widely advertising the opportuntity of funding and considering diversity of participants in terms of research topics as well as personal and institutional backgrounds as part of the selection criteria, along with the relevance and strength of the applicant's research to the conference and the availability of other support.<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.

06/23/2024

06/23/2024

None

Grant

47.070

1

4900

4900

2431905

{'FirstName': 'Wenqi', 'LastName': 'Wei', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wenqi Wei', 'EmailAddress': 'wenqiwei@fordham.edu', 'NSF_ID': '000938220', 'StartDate': '06/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Fordham University', 'CityName': 'BRONX', 'ZipCode': '104585149', 'PhoneNumber': '7188174086', 'StreetAddress': '441 E FORDHAM RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'NY15', 'ORG_UEI_NUM': 'ECESTN2SSVH1', 'ORG_LGL_BUS_NAME': 'FORDHAM UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Fordham University', 'CityName': 'BRONX', 'StateCode': 'NY', 'ZipCode': '104585149', 'StreetAddress': '441 E FORDHAM RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'NY15'}

{'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}

2024~15000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431905.xml'}

I-Corps: Predicting cognitive risk to enable autonomy and avert driving-related incidents in people with Alzheimer's disease and related dementias

NSF

06/15/2024

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 device for any vehicle with an electronic ignition to improve safety by detecting cognitive driving risk due to Alzheimer’s disease and related dementias. Cognitively impaired drivers place themselves and others in danger due to predictable errors in a variety of skill maneuvers compared with cognitively “normal” drivers. In addition, older adults with late mild to early moderate Alzheimer’s disease and Alzheimer’s disease-related dementias may have an unrecognized lack of self-regulation to accurately self-assess driving risk. To address this challenge, this technology is designed to provide a rapid and objective way to quantify the predictive cognitive risk of driving. The technology will support autonomy and avert Alzheimer’s disease-related dementias driving-related incidents and potential tragedies and property losses. The prevention of cognitively impaired driving may benefit family caregivers of those with Alzheimer’s disease and related dementias, commercial and mass transportation, and those who are cognitively impaired due to illicit drugs not detectable by breathalyzer technologies. <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 an adaptive cognitive driving risk device to prevent driving and prompt mitigation strategies if cognitive driving risk is detected. This artificial intelligence (AI)-powered technology allows the identification of the least number of tests from seven neurocognitive domains to predict cognitively-at-risk driving with the best accuracy. In addition, the device provides real-time, predictive assessments of cognitive driving risk to support driving autonomy along with a mechanism to halt driving for those who refuse to cease driving after being deemed cognitively unsafe by a healthcare professional. A lab prototype has established the principles for driving prevention with a failed cognitive test. This technology may be used to support the Infrastructure Act of 2021, which mandates that all auto manufacturers integrate the ability to indirectly identify impaired drivers beginning in 2026.<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

47.084

1

4900

4900

2431941

[{'FirstName': 'Adam', 'LastName': 'Gaweda', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adam E Gaweda', 'EmailAddress': 'adam.gaweda@louisville.edu', 'NSF_ID': '000688245', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Candace', 'LastName': 'Harrington', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Candace C Harrington', 'EmailAddress': 'candace.harrington@louisville.edu', 'NSF_ID': '0000A029K', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'ZipCode': '402081838', 'PhoneNumber': '5028523788', 'StreetAddress': '2301 S 3RD ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'KY03', 'ORG_UEI_NUM': 'E1KJM4T54MK6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF LOUISVILLE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Louisville Research Foundation Inc', 'CityName': 'LOUISVILLE', 'StateCode': 'KY', 'ZipCode': '402081838', 'StreetAddress': '2301 S 3RD ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kentucky', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'KY03'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2431941.xml'}

CAREER: In-situ Capture and Conversion of CO2 to Hydrocarbons

NSF

04/01/2024

03/31/2027

{'Value': 'Continuing 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 award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>Over the past decades, global emissions of greenhouse gases, carbon dioxide (CO2) and methane (CH4), have risen steadily, thus creating an urgent need for technology capable of capturing and/or converting those molecules to higher-value chemicals. The project investigates the effectiveness of perovskite materials to serve the dual function of capturing CO2 and catalyzing its conversion to hydrocarbons by reaction with CH4. Specifically, the aim is to tune the perovskite composition to promote efficient capture of CO2, followed by reaction with CH4, to produce syngas, ethane, and ethylene - all of value as essential platform chemicals that can be readily converted to polymers and fuels. Thus, the project explores a novel approach to achieving the simultaneous goals of mitigating greenhouse gas emissions while securing future supplies of energy and chemical raw materials. The project integrates the research with an education and outreach plan introducing students to sustainable engineering precepts, while broadening and diversifying the future science and engineering workforce.<br/><br/>The project investigates structure-composition-function properties of sorption-enhanced perovskite oxide catalysts for hydrocarbon synthesis via either dry methane reforming (DRM) or CO2-mediated oxidative coupling of methane (CO2-OCM). Specifically, the project focuses on SrTiO3 and CaTiO3 given their inherent basicity (which promotes the adsorption of CO2), combined with their capability to activate CO2 and CH4 using oxygen vacancies. Preliminary studies by the investigator have determined that the SrTiO3-based multifunctional catalysts, doped with Ni, can capture CO2 and convert it to syngas, ethane, and ethylene. The project will use SrTi1-xMxO3/SrO or CaTi1-xMxO3/CaO (with M=Ce, Mn and x = 0 – 0.1) systems to selectivity adsorb CO2 from simulated ideal or flue gas mixtures. Specific goals include: (1) elucidating the transport and reaction kinetics for CO2 capture and release in air and flue streams, (2) evaluating the effects of dopant metals on the kinetics, selectivity, and stability of the multifunctional catalysts under reaction conditions, and (3) enhancing the surface area of the perovskite-based catalysts by synthesizing them on monolith supports, and 4) ensuring the stability of the catalysts by investigating cyclic operation to periodically regenerate the catalysts due to metal-dopant exsolution, and/or perovskite structure destabilization under reaction conditions. The project utilizes a broad range of characterization and evaluation techniques, highlighted by in situ and operando high-pressure/high-temperature FTIR and Raman spectroscopic characterization of adsorbed surface species (FTIR) and oxygen vacancies (Raman), the latter in collaboration with Dr. T. J. Kim at Stony Brook University. Integration of the research with educational and outreach initiatives focuses on sustainable engineering concepts related to chemical engineering, particularly with respect to improving the inclusiveness of women in the chemical engineering field. Efforts along those lines will be incorporated into well-established education and outreach programs for underrepresented students at the investigator’s institution. Specifically, the investigator plans to 1) start an annual graduate preparation retreat program for first-year graduate women in engineering, 2) develop research experience for undergraduate women and transfer students, 3) develop hands-on engineering activities for K-8 girls to solve environmental problems, and 4) expand undergraduate and graduate chemical engineering course curricula.<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

47.041

1

4900

4900

2432002

{'FirstName': 'Kandis', 'LastName': 'Abdul-Aziz', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kandis L Abdul-Aziz', 'EmailAddress': 'kabdulaz@usc.edu', 'NSF_ID': '000797559', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'ZipCode': '900890701', 'PhoneNumber': '2137407762', 'StreetAddress': '3720 S FLOWER ST FL 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_ORG': 'CA37', 'ORG_UEI_NUM': 'G88KLJR3KYT5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF SOUTHERN CALIFORNIA', 'ORG_PRNT_UEI_NUM': None}

{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '140100', 'Text': 'Catalysis'}]

['2022~235201', '2023~109280']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432002.xml'}

OCE-PRF: Constraints on sea-level change over four glacial cycles through uranium-series dating of submerged Bahamian cave deposits

NSF

04/15/2024

06/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Elizabeth Rom', 'PO_EMAI': 'elrom@nsf.gov', 'PO_PHON': '7032927709'}

In recent geologic history, the Earth’s climate has fluctuated between ice ages and warm periods such as the present. These ice age cycles occur on roughly 100,000 year timescales and are marked by 100 meter-scale changes in global sea level in response to the growth and retreat of large continental ice sheets. The timing, duration, and magnitude of ice age sea-level fluctuations is largely controlled by changes in Earth’s surface temperature due to variations in the Earth’s orbit around the sun and the amount of planet-warming greenhouse gases in the atmosphere. Our understanding of the complex interactions between Earth’s orbit and greenhouse gases that drive sea-level change remains incomplete. Coastal cave deposits called speleothems provide rare, but valuable constraints on past sea-level change. Speleothems provide an upper limit on the position of the ocean surface, as they form from cavern dripwaters and cannot grow when submerged below sea level and can be precisely dated using U-Th dating or geochronology. For this project, the researcher will produce a novel, speleothem-based sea level record extending back ~400,000 years, covering the last four glacial cycles. This project will improve our understanding of the fundamental physical processes that drive sea-level change during ice age cycles and, by extension, the sea-level rise in a warming world. This is a timely topic, as “what are the rates, mechanisms, impacts and geographic variability of sea level change?” has been highlighted as one of the eight priority science questions by the National Academy of Sciences’ 2015-2025 Decadal Survey of Ocean Sciences.<br/><br/>The project will leverage an extraordinary collection of speleothems recovered from presently-submerged Bahamian coastal caves (blue holes) during the late 1980s/early 1990s at depths ranging from 4 to 77 m below present sea level. Such records are exceedingly rare, requiring many years of expensive and risky fieldwork and coordination with experience cave divers. In pursuing the project, the PI will have access to (1) the entire Bahamas collection (~117 speleothems), many of which remain undated, (2) state-of-the-art U-series analytical facilities and (3) cutting-edge microanalytical facilities available at University of Minnesota – Twin Cities (e.g., micro computed tomography [CT], electron probe microanalysis [EPMA]) to assess the physical, chemical and petrologic characteristics of growth hiatus boundaries, which is crucial for determining the precise timing of cave inundation due to sea-level rise. Finally, the results will be evaluated using GIA modelling to place the data in the broader context of global mean sea level. Taken together, this approach will greatly enhance the quality of sea-level information that can be extracted from speleothem-based archives, providing critical constraints on the timing and duration of late Pleistocene sea level change.<br/>Results will be useful to the broader Ocean Sciences community to produce robust sea-level projections to help policymakers, stakeholders and the general public in coastal communities adapt to future sea-level rise. Potential avenues for disseminating project results to the general public include outreach efforts such as the Skype a Scientist program, where the PI has an active record of participation. The PI will also partner with NOAA’s Science on a Sphere program to develop data visualizations that effectively convey key concepts of late Pleistocene sea-level change to a non-specialist audience. The PI is also committed to broadening participation in the Ocean Sciences and will partner with the hosting institution to foster an inclusive work environment and also encourage increased STEM participation from historically underrepresented groups through ongoing K-12 outreach initiatives.<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

47.050

1

4900

4900

2432028

{'FirstName': 'Peter', 'LastName': 'Chutcharavan', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter M Chutcharavan', 'EmailAddress': 'Peter.Chutcharavan@health.ny.gov', 'NSF_ID': '000849940', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Health Research Incorporated/New York State Department of Health', 'CityName': 'MENANDS', 'ZipCode': '122042732', 'PhoneNumber': '5184311200', 'StreetAddress': '150 BROADWAY, SUITE 280', 'StreetAddress2': 'RIVERVIEW CTR', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'G9H6SUM59YC4', 'ORG_LGL_BUS_NAME': 'HEALTH RESEARCH, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Health Research Incorporated/New York State Department of Health', 'CityName': 'MENANDS', 'StateCode': 'NY', 'ZipCode': '122042732', 'StreetAddress': '150 BROADWAY, SUITE 280', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}

{'Code': '820500', 'Text': 'OCE Postdoctoral Fellowships'}

2022~63275

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432028.xml'}

Conference: Community-Informed Policies and Best-Practices for the National Artificial Intelligence Research Resource Pilot

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Rob Beverly', 'PO_EMAI': 'rbeverly@nsf.gov', 'PO_PHON': '7032927068'}

An in-person workshop of leading experts in responsible AI technology and policy will be convened, to obtain community feedback regarding policies and best practices, and inform the development of priorities and policies for the National AI Research Resource (NAIRR) Pilot. By convening a diverse group of stakeholders to offer their perspectives, the workshop will deliver concrete recommendations for improving the trustworthiness of the resources that are components of the Pilot, and for supporting the equitable use of these resources by a diverse group of researchers and students.<br/><br/>A crucial part of the workshop is the involvement of the cyberinfrastructure community, since the technical fundamentals that support AI governance (e.g., data and model documentation across the lifecycle, responsible data generation and sharing primitives, and instrumentation of data-intensive AI workflows for reproducibility and robustness) must be implemented as part of the infrastructure. Embedding transparency and equity objectives into the design of cyberinfrastructure, in support of effective AI governance, will benefit individual scientific projects, the research community, and society at large, with impacts far beyond the NAIRR Pilot.<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

47.070

1

4900

4900

2432040

{'FirstName': 'Julia', 'LastName': 'Stoyanovich', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia Stoyanovich', 'EmailAddress': 'stoyanovich@nyu.edu', 'NSF_ID': '000624075', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New York University', 'CityName': 'NEW YORK', 'ZipCode': '100121019', 'PhoneNumber': '2129982121', 'StreetAddress': '70 WASHINGTON SQ S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'NX9PXMKW5KW8', 'ORG_LGL_BUS_NAME': 'NEW YORK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New York University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100121019', 'StreetAddress': '70 WASHINGTON SQ S', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NY10'}

{'Code': '296Y00', 'Text': 'NAIRR-Nat AI Research Resource'}

2024~99844

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432040.xml'}

I-Corps: Translation Potential of a Fuel-Flexible Combustion Technology

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 a sustainable approach for resilient energy generation that promotes better waste treatment. The technology is based on liquid-fueled combustion with near-zero emissions, high fuel flexibility and operational capability. The patented fuel-flexible injector/mixer technology can be utilized in other combustion systems such as gas turbines, microturbines, furnaces for clean and resilient energy generation, and propulsion. The Environmental Protection Agency (EPA)-identified 951 operational and potential landfill gas to energy systems in the U.S. Through this technology, additional jobs and taxes will be generated to benefit the economy and simultaneously relieve the waste management burden.<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 that enables clean landfill flares and clean waste-to-energy (WtE) with high fuel flexibility, near-zero emissions, high resilience, and minimal processing. The technology simultaneously generates cost-effective resilient energy and eases the waste treatment burden. The solution can also be broadly used in various combustion systems for clean and resilient power and propulsion. This technology enables energy resilience and weather resistance due to the high fuel flexibility of the novel fuel injectors/mixers with fundamentally different atomization mechanisms, as well as complete combustion of the landfill gas (LFG) flare and waste-based biofuels to realize zero-carbon emissions that are closed-carbon cycle and ultra-clean.<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

2432108

{'FirstName': 'Lulin', 'LastName': 'Jiang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lulin Jiang', 'EmailAddress': 'lulin_jiang@baylor.edu', 'NSF_ID': '000723384', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Baylor University', 'CityName': 'WACO', 'ZipCode': '767061003', 'PhoneNumber': '2547103817', 'StreetAddress': '700 S UNIVERSITY PARKS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_ORG': 'TX17', 'ORG_UEI_NUM': 'C6T9BYG5EYX5', 'ORG_LGL_BUS_NAME': 'BAYLOR UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Baylor University', 'CityName': 'WACO', 'StateCode': 'TX', 'ZipCode': '767061003', 'StreetAddress': '700 S UNIVERSITY PARKS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'TX17'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432108.xml'}

Travel: Fellowships for Students from U.S. Universities to Attend ISWC 2024

NSF

07/01/2024

12/31/2024

{'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': 'Cornelia Caragea', 'PO_EMAI': 'ccaragea@nsf.gov', 'PO_PHON': '7032922706'}

This travel award will fund up to 15 United States-based students attending the 23rd International Semantic Web Conference (ISWC 2024), held in Maryland, US from November 11 to 15, 2024. ISWC is the premier international forum for state-of-the-art research on all aspects of the Semantic Web, knowledge graphs, and their intersection with other domains. Student Fellowships will help cover the travel costs for United States students, making it possible for them to attend the conference and discuss and disseminate their work. They will also provide an opportunity for them to interact with future national and international scientific collaborators.<br/><br/>The International Semantic Web Conference, which is now in its 23rd year, is an interdisciplinary conference that includes work on Data Management, Natural Language Processing, Knowledge Representation, and Reasoning, Ontologies and Ontology Languages, Semantic Web Engineering, Linked Data, User Interfaces, and Applications. It regularly has several hundred attendees. In addition to the main technical tracks, the conference includes a variety of events that provide opportunities for more in-depth interaction amongst researchers at different institutions who are at various stages of their research careers, and researchers who are interested in many different aspects of Semantic Web Research. Students benefit from the Doctoral Consortium - a full day event where students can get critical, but encouraging, feedback on their work from senior members of the community. They also benefit from the career mentoring lunch, where experienced members of the community from both academia and industry answer questions in an informal setting. For further information see the conference web site at: https://iswc2024.semanticweb.org/.<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

2432111

[{'FirstName': 'Karuna', 'LastName': 'Joshi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karuna Joshi', 'EmailAddress': 'kjoshi1@umbc.edu', 'NSF_ID': '000643548', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Roberto', 'LastName': 'Yus', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Roberto Yus', 'EmailAddress': 'ryus@umbc.edu', 'NSF_ID': '000941068', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Maryland Baltimore County', 'CityName': 'BALTIMORE', 'ZipCode': '212500001', 'PhoneNumber': '4104553140', 'StreetAddress': '1000 HILLTOP CIR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MD07', 'ORG_UEI_NUM': 'RNKYWXURFRL5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MARYLAND BALTIMORE COUNTY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Maryland Baltimore County', 'CityName': 'BALTIMORE', 'StateCode': 'MD', 'ZipCode': '212500001', 'StreetAddress': '1000 HILLTOP CIR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

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

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432111.xml'}

Collaborative Research: AF: SaTC: Medium: Theoretical Foundations of Lattice-Based Cryptography

NSF

01/15/2024

09/30/2027

{'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': 'Peter Brass', 'PO_EMAI': 'pbrass@nsf.gov', 'PO_PHON': '7032922182'}

Lattices are geometric objects that have many applications in computer science, and especially to the design of secure cryptography. Such lattice-based cryptography has many attractive properties including its apparent security even against adversaries equipped with quantum computers (being "post-quantum") and its usefulness in constructing advanced primitives, including Fully Homomorphic Encryption (FHE), which allows for "computing on encrypted data." Based on this, the National Institute of Standards and Technology (NIST) recently selected several lattice-based cryptosystems for standardization as part of their years-long post-quantum cryptography standardization process. As lattice-based cryptosystems will be in widespread use in the near future, it is especially urgent to understand the complexity (security) of the problems that underlie them.<br/><br/>This project has three primary research goals. First, the project seeks to better understand the fine-grained complexity of lattice problems, i.e., the precise running time necessary to solve the computational problems underlying lattice-based cryptosystems. This work will ideally lead to a better understanding of the practical security of these cryptosystems. Second, this project will study connections between lattices and error-correcting codes, which have many similarities to lattices and are important and well-studied objects in their own right. Third, this project will study the complexity of problems on algebraically structured lattices. Cryptosystems based on these lattices---which include most practical cryptosystems, including those recently selected for standardization by NIST---are generally much more efficient, but much less is known about the complexity of the problems that underlie them. In addition to these main research goals, the investigators will write a comprehensive, freely available textbook about lattices in computer science. In particular, this book will cover algorithmic, complexity-theoretic, cryptographic, and geometric aspects of lattices in detail.<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

47.049, 47.070

1

4900

4900

2432132

{'FirstName': 'Huxley', 'LastName': 'Bennett', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Huxley Bennett', 'EmailAddress': 'huck.bennett@colorado.edu', 'NSF_ID': '000915406', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'ZipCode': '803090001', 'PhoneNumber': '3034926221', 'StreetAddress': '3100 MARINE ST', 'StreetAddress2': 'STE 481 572 UCB', 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'SPVKK1RC2MZ3', 'ORG_LGL_BUS_NAME': 'THE REGENTS OF THE UNIVERSITY OF COLORADO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Colorado at Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803090001', 'StreetAddress': '3100 MARINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

[{'Code': '779600', 'Text': 'Algorithmic Foundations'}, {'Code': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}]

2023~290995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432132.xml'}

Collaborative Research: Computational Methods for Optimal Transport via Fluid Flows

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': 'Yuliya Gorb', 'PO_EMAI': 'ygorb@nsf.gov', 'PO_PHON': '7032922113'}

Transport and mixing in fluids is a topic of fundamental interest in engineering and natural sciences, with broad applications ranging from industrial and chemical mixing on small and large scales, to preventing the spreading of pollutants in geophysical flows. This project focuses on computational methods for control of optimal transport and mixing of some quantity of interest in fluid flows. The question of what fluid flow maximizes mixing rate, slows it down, or even steers a quantity of interest toward a desired target distribution draws great attention from a broad range of scientists and engineers in the area of complex dynamical systems. The goal of this project is to place these problems within a flexible computational framework, and to develop a solution strategy based on optimal control tools, data compression strategies, and methods to reduce the complexity of the mathematical models. This project will also help the training and development of graduate students across different disciplines to conduct collaborative research in optimal transport and mixing, flow control, and computational methods for solving these problems.<br/><br/><br/>The project is concerned with the development and analysis of numerical methods for optimal control for mixing in fluid flows. More precisely, the transport equation is used to describe the non-dissipative scalar field advected by the incompressible Stokes and Navier-Stokes flows. The research aims at achieving optimal mixing via an active control of the flow velocity and constructing efficient numerical schemes for solving this problem. Various control designs will be investigated to steer the fluid flows. Sparsity of the optimal boundary control will be promoted via a non-smooth penalty term in the objective functional. This essentially leads to a highly challenging nonlinear non-smooth control problem for a coupled parabolic and hyperbolic system, or a semi-dissipative system. The project will establish a novel and rigorous mathematical framework and also new accurate and efficient computational techniques for these difficult optimal control problems. Compatible discretization methods for coupled flow and transport will be employed to discretize the controlled system and implement the optimal control designs numerically. Numerical schemes for the highly complicated optimality system will be constructed and analyzed in a systematic fashion. New incremental data compression techniques will be utilized to avoid storing extremely large solution data sets in the iterative solvers, and new model order reduction techniques specifically designed for the optimal mixing problem will be developed to increase efficiency. The synthesis of optimal control and numerical approximation will enable the study of similar phenomena arising in many other complex and real-world flow dynamics.<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

2432134

{'FirstName': 'Yangwen', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yangwen Zhang', 'EmailAddress': 'yangwen.zhang@louisiana.edu', 'NSF_ID': '000793569', 'StartDate': '05/17/2024', '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': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}

['2022~27376', '2023~29501']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432134.xml'}

Collaborative Research: Watershed-scale Geomorphic Response to Climate Change in the Aklavik Range, NWT (Canada)

NSF

01/01/2024

12/31/2025

{'Value': 'Standard Grant'}

{'Code': '06090100', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OPP', 'LongName': 'Office of Polar Programs (OPP)'}}

{'SignBlockName': 'Kelly Brunt', 'PO_EMAI': 'kbrunt@nsf.gov', 'PO_PHON': '7032928457'}

Arctic landscape response to rapid anthropogenic climate change has the potential to fundamentally alter both human and natural systems. This includes increased hazards to Arctic communities from permafrost thaw and associated slope instability and the destruction of river and coastal habitats from higher sediment and nutrient yields in Arctic rivers. While it is clear that Arctic landscapes are sensitive to climate change, a gap exists in our knowledge about how changes in temperature will affect the ways in which sediment is transported across a watershed. In order to address this knowledge gap, the investigators will be conducting a field- and remote sensing-based study of Arctic watersheds in the Aklavik Range of the Northwest Territories (NWT), Canada, where numerous First Nations communities are situated. The research team will test the specific hypothesis that climate change in the Arctic is leading to faster production of sediment within mountainous regions and causing subsequent increases in sediment delivery to hillslopes and rivers. <br/><br/>This is an interdisciplinary project that involves three Early Career tenure-track faculty, multiple local collaborators, as well as the Ehdiitat Gwich’in. The investigators will study two small bedrock watersheds (where sediment is produced) and their associated fan deposits (where sediment is stored) along a north-south climate gradient. Prior geomorphic work on these fan deposits was conducted in the 1960s to 1980s, making them an ideal location to quantitively assess change over time. The major objectives are to: (1) conduct fieldwork to understand how sediment is produced and the processes by which it moves across this landscape; (2) perform laboratory analyses on samples collected in the field to quantify rates of sediment production and transport over decadal to millennial scales; (3) use remote sensing techniques to extend local findings to the broader region over the last several decades; and (4) to use these data to calibrate sediment production and transport models so that we can predict future Arctic landscape response to anthropogenic warming scenarios. Many of the dating and remote sensing techniques have greatly advanced in the last several decades, but have not been applied to an integrated Arctic study spanning an entire watershed. Once proven in this study, this combination of methods could be used in other landscapes (both in the Arctic and at low latitudes) to better quantify how changes in rates of one geomorphic process (e.g., breakdown of bedrock) affects changes in rates of another (e.g., rates of sediment delivery to a river). In addition, the data collected during this project will calibrate state-of-the-science models allowing scientists to better inform local communities of potential hazards due to future warming.<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.

06/06/2024

06/06/2024

None

Grant

47.050, 47.078

1

4900

4900

2432230

{'FirstName': 'Jill', 'LastName': 'Marshall', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jill A Marshall', 'EmailAddress': 'jillmar@pdx.edu', 'NSF_ID': '000671786', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Portland State University', 'CityName': 'PORTLAND', 'ZipCode': '972015508', 'PhoneNumber': '5037259900', 'StreetAddress': '1600 SW 4TH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'OR01', 'ORG_UEI_NUM': 'H4CAHK2RD945', 'ORG_LGL_BUS_NAME': 'PORTLAND STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'WWUJS84WJ647'}

{'Name': 'Portland State University', 'CityName': 'PORTLAND', 'StateCode': 'OR', 'ZipCode': '972015508', 'StreetAddress': '1600 SW 4TH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'OR01'}

[{'Code': '528000', 'Text': 'ANS-Arctic Natural Sciences'}, {'Code': '745800', 'Text': 'Geomorphology & Land-use Dynam'}]

2021~135797

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432230.xml'}

Assessing Sense of Belonging, Climate, and Culture at the Departmental Level from the Perspective of Undergraduate STEM Students

NSF

12/15/2023

09/30/2025

{'Value': 'Standard Grant'}

{'Code': '11040000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}

{'SignBlockName': 'Kimberly Tanner', 'PO_EMAI': 'ktanner@nsf.gov', 'PO_PHON': '7032922262'}

This project aims to serve the national interest by developing a tool to measure undergraduate STEM students’ perceptions about the climate and culture of STEM departments. Students’ sense of belonging is key in retaining and graduating STEM undergraduates, especially STEM students from populations marginalized in STEM. The project plans to adapt questions from an existing tool, as well as develop new questions about STEM department climate and culture based on student interviews and focus groups with STEM department stakeholders. After initial development in three institutions, the project team intends to implement the tool in STEM departments in multiple institutions across the country. Additionally, the project plans to develop a handbook to guide departments in using this tool. This project should advance understanding of STEM student experiences in STEM departments and support efforts to retain students in STEM.<br/><br/>This project at Florida International University (FIU) aims to develop a research-based assessment tool to measure undergraduate STEM students’ sense of belonging to their department, as well as their perceptions about departmental climate and culture. FIU is a Hispanic-Serving Institution (HSI) and will collaborate with California State University, Fullerton and California State University, San Marcos, which are also HSIs. The project plans to adapt an existing assessment tool that examines sense of belonging and to develop new items to probe departmental culture and climate through input gathered from student interviews and focus groups with a diverse population of faculty, staff, advisors, and other departmental stakeholders. In addition to traditional closed-ended Likert-type questions and open-ended written assessment probes, the project plans to develop items based on visual narratives to probe students’ perceptions of departmental climate and culture. The new assessment tool will be piloted with a sample of ~1,400 undergraduate students in biology, chemistry, and physics departments across the three collaborating institutions to gather evidence of validity. Once initially validated, the assessment tool will then be implemented across at least 14 additional STEM departments, with data from the study returned to departments for reflection and discussion. Project evaluation will be guided by a 5-member advisory board composed of scholars from across different institutions and multiple relevant disciplines. Dissemination efforts include conference presentations, peer-reviewed publications, and development of a departmental handbook to guide use of the tool. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools. This project is also supported by the NSF IUSE:HSI program, which has the goals of enhancing the quality of undergraduate STEM education, and increasing the recruitment, retention, and graduation rates of students pursuing associate’s or baccalaureate degrees in STEM.<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.

06/24/2024

06/24/2024

None

Grant

47.076

1

4900

4900

2432241

{'FirstName': 'Melissa', 'LastName': 'McCartney', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa McCartney', 'EmailAddress': 'mmccartn@fiu.edu', 'NSF_ID': '000613425', 'StartDate': '06/24/2024', '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': 'AMHERST', 'StateCode': 'NY', 'ZipCode': '142282567', 'StreetAddress': '520 LEE ENTRANCE STE 211', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}

{'Code': '077Y00', 'Text': 'HSI-Hispanic Serving Instituti'}

2022~279565

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432241.xml'}

Tropical hydroclimate change during the last deglaciation: a synthesis of isotope-enabled transient climate model simulations and proxy data

NSF

01/15/2024

07/31/2025

{'Value': 'Standard Grant'}

{'Code': '06020108', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'AGS', 'LongName': 'Div Atmospheric & Geospace Sciences'}}

{'SignBlockName': 'Mea S. Cook', 'PO_EMAI': 'mcook@nsf.gov', 'PO_PHON': '7032927306'}

The tropics have profound influence on the global climate system, but the region’s response to changing climate remains unclear and the predictions of tropical precipitation and water cycling remain highly uncertain. This project aims to improve the ability of future climate projections in this region by using numerical model simulation and proxy derived records of water tracers of tropical hydroclimate to identify pan-tropical and regional responses to climate drivers under different boundary conditions. The investigation will focus on the last deglaciation period which is characterized by large shifts in atmospheric greenhouse gases concentrations, seasonal insolation, ice sheets, and sea level. Thus, the configuration of the last deglaciation creates a unique opportunity to study the tropical hydroclimate changes under different boundary condition than today.<br/><br/>The overarching goal of this project is to gain new insight into the large-scale dynamics and controls on tropical hydroclimate through (1) syntheses of tropical water isotope records to characterize the spatiotemporal changes of tropical isotope hydrological records during the last deglaciation, and (2) testing critical hypotheses about the impact of external forcings and internal feedbacks on tropical rainfall. To accomplish this goal, the researchers propose a comprehensive pan-tropical data model comparison through integrating water-isotope based proxy-data, proxy system models, and new simulations with a state of-the-art isotope enabled transient climate model (iTRACE). Further, the researchers will perform new sensitivity experiments under different boundary conditions with isotope-enabled Community Earth System Model to test the influence of land-ocean configuration on orbital and millennial-scale variability across the tropics.<br/>The potential Broader Impacts include a better understanding of the spatiotemporal changes and regional drivers of tropical hydroclimate during the last deglaciation. The proposed research will assess the influence of precipitation amount relative to atmospheric circulation changes on precipitation thus potentially enhancing the interpretation of regional paleoclimate records. The project will support the professional development of an early career scientist at Brown University and the education and research training of undergraduate students from minority-serving-institutions through the Leadership Alliance-NSF-REU partnership at Brown University. Additionally, the researchers will develop a new seminar course on climate data analysis and data-model comparison for undergraduate and graduate students.<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.

06/06/2024

06/06/2024

None

Grant

47.050

1

4900

4900

2432287

{'FirstName': 'Xiaojing', 'LastName': 'Du', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaojing Du', 'EmailAddress': 'xiaojing_du@brown.edu', 'NSF_ID': '000865172', 'StartDate': '06/06/2024', 'EndDate': None, 'RoleCode': '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': '153000', 'Text': 'Paleoclimate'}

2022~220889

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432287.xml'}

Conference: Symposium on Undergraduate Research 2024

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John D. Gillaspy', 'PO_EMAI': 'jgillasp@nsf.gov', 'PO_PHON': '7032927173'}

This award provides travel support for undergraduate student participation in the Symposium on Undergraduate Research. This Symposium will be held at the annual meeting of the American Physical Society Division of Laser Science (DLS), in conjunction with the annual Frontiers in Optics (FiO) meeting of Optica. The conference program includes many of the research topics central to Atomic, Molecular, and Optical Physics. The support of students through this award makes a substantial contribution to the education and training of future scientists. Students who graduate with a background in laser science acquire a broad range of knowledge and skills that enable them to contribute to progress in many areas of science and technology. <br/><br/>The meeting is scheduled to be held in Denver, CO on September 23, 2024. It offers an opportunity for undergraduate students to present their research results and to interact with senior scientists primarily from the United States, but also the broader international community. Support is provided only for US students (students enrolled in US universities).<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

2432388

{'FirstName': 'Harold', 'LastName': 'Metcalf', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Harold Metcalf', 'EmailAddress': 'harold.metcalf@stonybrook.edu', 'NSF_ID': '000105073', 'StartDate': '06/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'ZipCode': '117940001', 'PhoneNumber': '6316329949', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL L', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NY01', 'ORG_UEI_NUM': 'M746VC6XMNH9', 'ORG_LGL_BUS_NAME': 'THE RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': 'M746VC6XMNH9'}

{'Name': 'SUNY at Stony Brook', 'CityName': 'STONY BROOK', 'StateCode': 'NY', 'ZipCode': '117940001', 'StreetAddress': 'W5510 FRANKS MELVILLE MEMORIAL LIBRARY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NY01'}

[{'Code': '124100', 'Text': 'AMO Experiment/Atomic, Molecul'}, {'Code': '128400', 'Text': 'AMO Theory/Atomic, Molecular &'}]

2024~12000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432388.xml'}

Collaborative Research: Conference: Dialogue and Robots

NSF

10/01/2023

06/30/2024

{'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': 'Tatiana Korelsky', 'PO_EMAI': 'tkorelsk@nsf.gov', 'PO_PHON': '7032920000'}

The Dialogue and Robots workshop addresses the issues of spoken language processing for human-robot interaction since communication between robots and humans presents multiple novel challenges. To address these challenges the team will bring together roboticists, spoken dialogue systems researchers, human-robot interaction researchers, computer scientists, speech scientists and technologists and natural language processing researchers to understand how to use various knowledge sources so that robots can more naturally and effectively interact with people. Success in this area will help a broad application of social robots to the benefit of society, including working with and alongside people in homes, schools, hospitals, and workplaces. The expected result of Dialogue and Robots workshop is the stimulation of interdisciplinary collaborations that focus on solving problems in speech communication that currently limit the effectiveness of social robots in various situations. <br/><br/>The workshop participants' discussions cover a range of problems, from the basics of the platforms to technical challenges in robotics, human-robot interaction, spoken dialogue systems, and natural language processing. Topics include processing multimodal data, situated reasoning, achieving common ground in human-AI collaboration, building trust in collaborative systems, and applications of such systems for social good. The workshop will result in whitepapers that define concrete research projects.<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

2432393

{'FirstName': 'Malihe', 'LastName': 'Alikhani', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Malihe Alikhani', 'EmailAddress': 'm.alikhani@northeastern.edu', 'NSF_ID': '000833635', 'StartDate': '05/19/2024', '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': '749500', 'Text': 'Robust Intelligence'}

2023~12362

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432393.xml'}

CAREER: Biomineralized architected metamaterials: structural design and formation mechanisms

NSF

06/01/2024

01/31/2025

{'Value': 'Continuing 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'}

Abstract (non-technical)<br/>In contrast to geological minerals, biominerals are mineral-based structures formed by organisms. Seashells, our teeth and bone are good examples of biominerals. While we are often amazed by geological minerals’ various specific crystal geometries, biominerals are usually characterized by their arbitrary yet often complex three-dimensional (3D) morphologies. Moreover, the internal microscopic structures of many biomineral-based structures are also extremely intricate and carefully organized in 3D. This hierarchical structural complexity leads to biomineralized structures’ remarkable mechanical strength and durability, despite the fact that the minerals themselves are intrinsically brittle. Currently we have limited knowledge in explaining how biominerals’ complex 3D microstructures and morphologies are emerged and regulated. This award, by using the biomineralized skeleton in a starfish as a model system, aims to characterize its complex 3D microstructure as well as the underlying formation mechanisms. The skeleton of starfish consists of hundreds of millimeter-sized biomineralized elements, known as ossicles, which are embedded within its soft body. This unique skeletal design allows the starfish to be flexible during locomotion but also to become stiff when required. The ossicles are characterized by their lattice-like porous microstructure based on the single-crystalline calcite, which makes them lightweight, strong, and damage tolerant. The new knowledge gained from this study on the biomineralization mechanisms in starfish will provide us a better understanding of the 3D structural evolution processes for echinoderms, or possibly, even other invertebrate and vertebrate biomineralized tissues. The insights on the multiscale structure, formation mechanisms and mechanical properties obtained in this study for starfish’ biomineralized skeletons will provide important lessons for the design and fabrication of synthetic low-density materials and thus benefit the U.S. economy and society. Aligned with the research goal in generating new knowledge of biomineralized materials, the proposed education and outreach programs will improve the quality of STEM education both locally and national-wide. <br/><br/>Abstract (technical)<br/>Starfish form biomineralized millimeter-sized skeletal elements, known as ossicles, for protection, locomotion and other purposes. Like other echinoderms’ skeletons, these ossicles consist of magnesium-bearing calcite with a small amount of organic materials embedded in the mineral matrix. Intriguingly, despite their single-crystal nature, ossicles are characterized by their complex bicontinuous network-like microstructure, known as stereom. The goal of this proposed CAREER program is to understand how these biominerals’ complex morphology is formed and controlled in 3D and how such structural control impacts their mechanical performance. We carefully select the periodic, lattice-like stereom structure, termed as biomineralized architected metamaterial (BAM), from a model starfish system. The PI will first quantify the multiscale 3D morphology of the fully formed BAM structure in terms of its 3D lattice network, surface curvature, and spatial distribution of organic materials within minerals and then investigate the 3D structural evolution, mineral crystallography, and distribution of mineral precursors at the growth front of forming ossicles through novel tomography imaging techniques. Finally, the mechanical effects of multiscale 3D structural control will be established via combined experimental testing and computational modeling. The subject of this study is an attractive topic for students and the broader public, and the proposed education and outreach programs will integrate material science, biology, and engineering to align with the research goal in better understanding biological 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.

05/16/2024

05/16/2024

None

Grant

47.049

1

4900

4900

2432445

{'FirstName': 'Ling', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ling Li', 'EmailAddress': 'lingl@vt.edu', 'NSF_ID': '000743724', 'StartDate': '05/16/2024', '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': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

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

['2023~24889', '2024~104100']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432445.xml'}

I-Corps: Translation Potential of a Tissue-Engineered Vein Valve

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 tissue-engineered vein valve intended as an effective treatment option for venous ulcer patients. If left untreated, this condition can lead to repeated ulcers and eventual amputation, inflating healthcare costs and resulting in significant patient suffering. Previous attempts at prosthetic vein valves have failed to combat the increased thrombogenicity (producing coagulation of the blood) of the venous system leading to device failure within weeks. The solution explored in this project could be the first device capable of providing a curative solution to these patients, transforming venous patient care.<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 novel tissue-engineered vein valve prosthesis that mimics the aligned collagen structure of native leaflets, providing a foundation for mechanical durability and endothelialization of the tissue material. The solution is a bileaflet valve encompassing a nitinol stent which, together with the innovative fabrication technique, is the basis for a filed patent application. The tissue engineered collagen material grown on the stent is a platform technology.<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

47.084

1

4900

4900

2432446

{'FirstName': 'Robert', 'LastName': 'Tranquillo', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert T Tranquillo', 'EmailAddress': 'tranquillo@umn.edu', 'NSF_ID': '000220870', 'StartDate': '06/26/2024', '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', 'CityName': 'Minneapolis', 'StateCode': 'MN', 'ZipCode': '554552009', 'StreetAddress': 'Nils Hasselmo Hall, 312 Church St 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': '2432446.xml'}

Conference: Expanding Geographic and Institutional Diversity in CISE

NSF

06/15/2024

05/31/2025

{'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': 'Jeffrey Forbes', 'PO_EMAI': 'jforbes@nsf.gov', 'PO_PHON': '7032925301'}

The Computing Research Association seeks to increase the representation of NSF Computer and Information and Science and Engineering (CISE) awards to organizations across the twenty-eight (28) Established Program to Stimulate Competitive Research (EPSCoR) eligible jurisdictions. While there is significant funding available to computing researchers in EPSCoR jurisdictions, there have been historically lower than desired submission rates of grant proposals to the National Science Foundation. This project seeks to ensure that research and innovation are not confined to geographical boundaries but are inclusive and collaborative across the nation by involving EPSCoR jurisdictions in more NSF CISE grants, and building partnerships with institutions in EPSCoR jurisdictions. This project will provide travel stipends to computing research leaders in EPSCoR jurisdictions who would otherwise be unable to attend the planned program.<br/><br/>The goal of this project is to host a 3-hour session in advance of the 2024 CRA Conference at Snowbird where (1) computing research leaders at institutions in EPSCoR jurisdictions learn about NSF funding opportunities from NSF Division Directors and (2) Division Directors learn from these research leaders about barriers their computing research faculty face in submitting proposals for funding. Attending computing research leaders at institutions in EPSCoR jurisdictions will then share what they learn with their computing research faculty in their institutions. We expect to learn the barriers that computing faculty from institutions in EPSCoR jurisdictions have in submitting proposals to NSF CISE. We also expect to learn strategies or actions to reduce these barriers. The ultimate goal of this project is an increase in the number of proposal submissions to NSF from institutions in EPSCoR jurisdictions in future years. Increasing the number of proposals submitted from EPSCoR jurisdictions (and, presumably, the number of funded grants to EPSCoR jurisdictions) will advance computing research in EPSCoR jurisdictions.<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.

06/23/2024

06/23/2024

None

Grant

47.070

1

4900

4900

2432490

{'FirstName': 'Tracy', 'LastName': 'Camp', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tracy K Camp', 'EmailAddress': 'camp@cra.org', 'NSF_ID': '000323256', 'StartDate': '06/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Computing Research Association', 'CityName': 'WASHINGTON', 'ZipCode': '200365104', 'PhoneNumber': '2022662949', 'StreetAddress': '1828 L ST NW', 'StreetAddress2': 'STE 800', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'GL8EKK2U5YE9', 'ORG_LGL_BUS_NAME': 'COMPUTING RESEARCH ASSOCIATION INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Computing Research Association', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200365104', 'StreetAddress': '1828 L ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

{'Code': '164000', 'Text': 'Information Technology Researc'}

2024~99746

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432490.xml'}

I-Corps: Translation Potential of Ultra-Flexible, Liposomal, Lidocaine Gel

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 ultra-flexible, liposomal, lidocaine gel. This innovative product addresses the limitations of current topical anesthetics by providing a more rapid onset of numbing and deeper tissue penetration. The enhanced efficiency can significantly improve patient comfort and clinical workflows, particularly in settings like dermatology and minor surgical procedures where quick pain relief is essential. Commercially, the gel reduces procedural delays and increases the throughput of a medical practices, thereby enhancing overall healthcare efficiency. <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 novel liposomal drug delivery platform. The core technology involves ultra-flexible liposomes capable of penetrating skin barriers more efficiently than current products, delivering lidocaine directly to pain receptors for quicker and longer-lasting relief. The research underpinning this project demonstrated the liposomes' enhanced skin permeability and efficacy in preclinical models, showing significant improvements over existing formulations. This technological advance not only promises to elevate the standard of care in pain management but also sets the stage for future applications of the liposomal delivery system in other therapeutic areas.<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

2432508

{'FirstName': 'Kanneboyina', 'LastName': 'Nagaraju', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kanneboyina Nagaraju', 'EmailAddress': 'knagaraju64@gmail.com', 'NSF_ID': '000825981', 'StartDate': '06/17/2024', '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': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432508.xml'}

Travel: Student Travel for the 2024 International Workshop on Bio-Design Automation (IWBDA)

NSF

08/15/2024

07/31/2025

{'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': 'Mitra Basu', 'PO_EMAI': 'mbasu@nsf.gov', 'PO_PHON': '7032928649'}

The 16th International Workshop on Bio-Design Automation (IWBDA) 2024 takes place in Boston from September 16th to September 20th and will bring together researchers from electronic design automation (the practice of using computer software to build complex electronics) and synthetic biology (the forward design of novel biological systems using engineering principles). The goal of IWBDA is to make biology more easily, robustly, reliably, and predictably engineered and therefore, tackle challenges in biology and medicine, leading to advances in disease diagnosis, treatment and prevention. This award provides travel assistance for ten undergraduate and graduate students to attend this workshop to present research, participate in a computer programming competition, and network with a large community of industrial and academic researchers. These participants will go on to form the foundation of the field in the future.<br/> <br/>Specifically these students will join a wide variety of researchers (120+) from electronic design automation and synthetic biology in a unique context which does not exist elsewhere. They will have access to between twelve and fifteen technical talks over two days, two invited lectures, ten to twenty posters, multiple group discussion sessions, and a featured student programming competition (BDAthlon).<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

47.070

1

4900

4900

2432555

{'FirstName': 'Natasa', 'LastName': 'Miskov-Zivanov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Natasa Miskov-Zivanov', 'EmailAddress': 'nmzivanov@pitt.edu', 'NSF_ID': '000618493', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'ZipCode': '152600001', 'PhoneNumber': '4126247400', 'StreetAddress': '4200 FIFTH AVENUE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'MKAGLD59JRL1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152600001', 'StreetAddress': '4200 FIFTH AVENUE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

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

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432555.xml'}

I-Corps: Translation Potential of a Multimodal, Human-Robot Teaching-Learning-Collaboration Framework to Advance Manufacturing Flexibility and Productivity

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 innovative human teaching and robot learning methods aimed at advancing robot-assisted manufacturing systems to enhance manufacturing flexibility and productivity for stakeholders. The technology could mitigate the limitations of traditional robot programming and control approaches by developing an easy-to-use, teaching-learning-collaboration framework, in which the robot can be efficiently programmed by human demonstrations. This solution enables the human-robot dyad to act in a sociable partnership to facilitate semi-automation of customized, collaborative, industrial tasks, such as manufacturing and food processing. The solution is human-compatible and quickly transferable, allowing industry sectors to rapidly expand automation of their operations without long periods of implementation. <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 multimodal, teaching-learning-collaboration framework for a robot to actively learn from human demonstrations and participate with humans in collaborative tasks. In this framework, the human worker can intuitively teach the robot to perform tasks using natural, multimodal information such as natural language, natural gesture information, gaze information, and vision sensing information. The manufacturing task operations can then be characterized through this multimodal information. The robot learns parameterized human demonstrations and builds task strategies using artificial intelligence-driven algorithms. The robot is then able to assist its human partner in shared tasks through its learned knowledge and the developed human-robot collaboration model. The solution could improve robot programming efficiency and collaboration quality for human-robot teams in smart manufacturing and other robot-assisted collaborative contexts.<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

2432565

{'FirstName': 'Weitian', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Weitian Wang', 'EmailAddress': 'wangw@montclair.edu', 'NSF_ID': '000824745', 'StartDate': '06/25/2024', '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': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432565.xml'}

I-Corps: Translation potential of a microneedle bandage for treating Borrelia skin infections

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 a doxycycline-loaded microneedle bandage that patients can apply over a tick bite to kill the Borrelia burgdorferi, the cause of Lyme Disease. This technology empowers consumers with an immediate and powerful preventative approach that will disrupt the current standard of care and move consumers and the healthcare community toward a proactive approach for treating tick bites. If widely adopted, this product could prevent approximately 200,000 cases of acute Lyme Disease and 20,000 cases of post-treatment Lyme Disease Syndrome per year in the United States alone. The current practice of treating tick bites either prophylactically or after the appearance of a bullseye rash with high oral doses of antibiotics has risks including drug allergy, intestinal dysbiosis, sun sensitivity, and dental issues that could be avoided with locally acting, low-dose microneedle bandages. Efficacy has been demonstrated in microneedle patches targeting other dermal bacterial infections, providing a solid rationale for this approach. As no product like this has been marketed to date, there is considerable opportunity for preventing Lyme Disease and potentially for other dermal infections prone to systemic dissemination. <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 therapeutic bandage comprising of highly innovative biodegradable microneedles in conjunction with a novel bandage matrix. Several innovations make this possible. First, the microneedles penetrate the dermal tissue surrounding the tick bite for highly localized dermal drug delivery. Upon contact with interstitial fluid, the microneedle tips dissolve rapidly and delivers doxycycline. Secondly, the microneedle bases dissolve slowly, releasing a host-directed therapeutic agent which recruits and activates immune cells to kill any bacteria that survive the initial antibiotics. After the microneedle tips dissolve, a bidirectional microchannel is exposed, facilitating drainage. Four prototyping rounds have occurred, and testing has begun in two animal models, plus explanted (living) human skin. The structural integrity, dissolution characteristics, and doxycycline stability throughout the microneedle formulation and molding process have been assessed. Using two fluorescent dyes, the kinetics of drug release and neutrophil migration to the site of microneedle application in mice and pigs has been documented.<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

2432569

{'FirstName': 'Jessica', 'LastName': 'Malek', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jessica B Malek', 'EmailAddress': 'jessica.malek@uconn.edu', 'NSF_ID': '0000A03P4', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'ZipCode': '062699018', 'PhoneNumber': '8604863622', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 11', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CT02', 'ORG_UEI_NUM': 'WNTPS995QBM7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CONNECTICUT', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'StateCode': 'CT', 'ZipCode': '062699018', 'StreetAddress': '438 WHITNEY RD EXTENSION UNIT 1133', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CT02'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432569.xml'}

CAREER: Exact Actuation of Magnetic Field Forces Across All DOF in Electric Motors

NSF

11/15/2023

01/31/2025

{'Value': 'Continuing 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'}

Title: CAREER: Exact Actuation of Magnetic Field Forces Across All Degrees of Freedom in Electric Motors <br/><br/>Abstract:<br/><br/>Non-technical description: Electric motors are responsible for transporting the world's supply of fresh water, heating and cooling homes and offices, driving critical medical and surgical equipment, and, increasingly, operating transportation systems. The efficiency of this technology is vital in enabling energy sustainability and reducing humanity's carbon footprint. Conventional electric motors rely on bearings to support their shafts. Unfortunately, these bearings have critical lifetime, reliability, and efficiency shortcomings that limit the electrification of transportation systems, the utilization of renewable generation technologies, and the efficiency of fluid handling infrastructure. This project will investigate a new type of motor that does not use bearings. The new bearingless motors will utilize electric current to create controllable magnetic forces that function as set of bearings. The new motors will look and behave in fundamentally different ways that will enable new, extremely efficient, and ultra-reliable systems. This project targets a 9% reduction in US electric energy consumption by enabling new concepts in compressor systems, electrified transportation, renewable energy generation, and energy storage. To translate these research outcomes into the real world, the project incorporates engagement of both the technical community and general public. Beyond the research outcomes, the team's outreach activities will facilitate development of the diverse STEM workforce needed to maintain US leadership in electromechanical power conversion. The team will develop interactive public exhibits of motor and levitation technology and host STEM-enriched experiences aimed at increasing interest and participation in STEM opportunities for middle and high school females and youth from rural, economically disadvantaged regions.<br/><br/>Technical Description: The objective of this research is to overcome fundamental challenges of both conventional motor bearings and magnetic bearings. While today's electric motors utilize and control only one degree of freedom (rotation) this project will develop a new generation of electric motors that are precisely actuated in all six degrees of freedom. These new motors will utilize magnetic field forces that are already present within the motor to create a completely bearingless motor that levitates its own shaft. Modelling, control, and design techniques will be developed to unify the science of electric motors and magnetic levitation. The project will use analytic and numeric modeling approaches to create a framework that models the normal and tangential magnetic stresses on the rotor's surface. This framework will be used to determine the required stator currents needed to produce exact force and torque vectors on the motor's shaft. The project will research optimal design of these new motors and test prototypes to validate this new science. The team will develop the science of bearingless motors for both high speed motor systems (industrial compressors and power grid flywheel energy storage) and low speed motor systems (large diameter, rim-driven motors for flight electrification). The outcomes of the research will be disseminated through the standard channels of academic research (presentations and papers) as well as through the construction of a portable bearingless motor prototype that will be exhibited in public demonstrations, conferences, and visits to research institutes. The team will also develop open source, interactive laboratory electronics kits to demonstrate the principles of magnetic levitation and electromechanical power conversion that will be promoted to allow youth to develop county fair exhibits, lifelong learners to explore electromechanical principles, and teachers to adapt the material for their curriculum.<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

2432574

{'FirstName': 'Eric', 'LastName': 'Severson', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eric L Severson', 'EmailAddress': 'sever@umn.edu', 'NSF_ID': '000760020', 'StartDate': '06/12/2024', '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': '554552009', 'StreetAddress': '200 OAK ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

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

['2020~115573', '2021~109907']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432574.xml'}

I-Corps: Translation potential of critical metal aqueous separation technologies

NSF

06/15/2024

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 a highly selective electrochemical separation technology that provides users with the ability to reduce the cost and environmental footprint of metal recovery processes. Such a technology can be used in numerous natural resource extraction processes. The ability of mining operators to reduce the freshwater consumption and eliminate the consumption of toxic chemicals could expand the production of metals critical to the energy transition. In the production of lithium from hypersaline aquifers, lithium producers could utilize such a technology to improve the purity of lithium products and reduce the environmental footprint. Additionally, this highly selective separation technology could allow lithium companies to economically extract lithium from domestic resources in the United States. This I-Corps project thus has the potential to reduce dependence on fragile and complex supply chains. The increased supply of lithium and other critical metal products would enable battery manufacturers to advance the performance of their products, decreasing the costs, and increase the adoption of electric vehicles and battery-based energy storage systems.<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 highly selective, low-freshwater consuming, and renewable electricity-powered electrochemical separation technology that leverages a novel electrical-switch system to operate continuously. This electrochemical separation technology has demonstrated exceptional selectivity for removing monovalent cations from complex ionic solutions while minimizing energy consumption. Further research is being conducted to investigate membrane and electrode material combinations to improve lithium selectivity, increase cycling stability, and further minimize energy consumption. Novel electrode and membrane materials are also being investigated to explore the efficacy of this novel platform for extracting other critical metals from aqueous solutions including other alkali, alkaline, or transition metals from natural resources. This project has commercial potential in the recovery of critical metals from natural resources and aqueous waste streams.<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.

06/11/2024

06/11/2024

None

Grant

47.084

1

4900

4900

2432584

{'FirstName': 'Shihong', 'LastName': 'Lin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shihong Lin', 'EmailAddress': 'shihong.lin@vanderbilt.edu', 'NSF_ID': '000693821', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'ZipCode': '372032416', 'PhoneNumber': '6153222631', 'StreetAddress': '110 21ST AVE S', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'TN05', 'ORG_UEI_NUM': 'GTNBNWXJ12D5', 'ORG_LGL_BUS_NAME': 'VANDERBILT UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Vanderbilt University', 'CityName': 'NASHVILLE', 'StateCode': 'TN', 'ZipCode': '372032416', 'StreetAddress': '110 21ST AVE S', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'TN05'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432584.xml'}

Travel: Student Participation in the Emerging Memory Infrastructure Workshop

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': 'Usha Varshney', 'PO_EMAI': 'uvarshne@nsf.gov', 'PO_PHON': '7032925385'}

The "Emerging Memory Infrastructure" workshop is dedicated to exploring novel materials and technologies poised to transcend the limitations of traditional computing. Traditional von Neumann architectures, which segregate processing and memory, often incur significant energy and time costs due to necessary data transfers during computational tasks. These inefficiencies are magnified by the growing volume and complexity of data-centric applications. In contrast, in-memory computing, leveraging cutting-edge memory materials and devices, heralds a significant shift. Integrating analog and digital processing directly within the memory's storage and control circuits paves the way for innovations in materials, device architecture, and circuit design. The upcoming workshop is set to gather 40-60 senior researchers and 12 graduate students specializing in the design and fabrication of novel and emerging memory materials, device, and circuit design architecture. Given the wide geographic spread across the US of the research community focused on this topic, this workshop will serve as a vital platform for educational and professional in-person engagement. It aims to bring together a geographically and demographically diverse group of students, each with unique personal experiences and professional goals. These students will have the opportunity to connect with peers and a broader network of mentors within their field of study. <br/><br/><br/>Present-day memory technologies, including DRAM and Flash memory, hinge on charge storage and can retain data without power. However, the quest to scale these technologies below 10 nanometers has surfaced formidable challenges that undermine performance, reliability, and endurance. The industry's ambition is to forge a path toward non-volatile memory systems that excel in speed, durability, and energy efficiency and are scalable to 2 nanometers or below. However, such a solution is only possible by using a new class of materials and devices emerging since 2010. In the past decade, four emerging non-volatile memory technologies have shown considerable promise; Filamentary Memories (RRAM), Phase Change Memories (PCM), Magnetic Memories (MRAM), and Ferroelectric memories (FeRAM). Despite promising developments in these emerging memories, bridging the knowledge gaps has been a protracted endeavor. Distinct challenges thwart the progression: the nuanced requirements of in-memory processing vis-à-vis conventional storage solutions; the prevalence of inconsistent and unvalidated research findings attributed to less-than-ideal fabrication conditions; and the restricted availability of state-of-the-art fabrication equipment are typically confined to selected industrial and national research facilities. This confluence of obstacles underscores the critical need to convene the relevant research community, including the pivotal participation of graduate students, to engage in discourse, confront these challenges, and ideate on solutions.<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

47.041

1

4900

4900

2432718

{'FirstName': 'Linda', 'LastName': 'Katehi', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Linda P Katehi', 'EmailAddress': 'katehi@exchange.tamu.edu', 'NSF_ID': '000472154', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'ZipCode': '778433124', 'PhoneNumber': '9798626777', 'StreetAddress': '3124 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'QD1MX6N5YTN4', 'ORG_LGL_BUS_NAME': 'TEXAS A&M ENGINEERING EXPERIMENT STATION', 'ORG_PRNT_UEI_NUM': 'QD1MX6N5YTN4'}

{'Name': 'Texas A&M Engineering Experiment Station', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433128', 'StreetAddress': '3128 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '151700', 'Text': 'EPMD-ElectrnPhoton&MagnDevices'}

2024~16500

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432718.xml'}

The Dynamic Assembly and Resilience of Panicum Root-associated Microbiota

NSF

01/01/2024

07/31/2026

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Cathie Aime', 'PO_EMAI': 'maime@nsf.gov', 'PO_PHON': '7032924572'}

A series of pivotal scientific discovies over the past decade has shed light on the diversity of bacteria, termed the microbiome, that exist in the environment, particularly in soils. Plants cohabitate soil with these diverse bacterial communities, a subset of which are recruited to plant roots via a myriad of processes and can provide beneficial services to the host. For example, root associated bacteria can help the host plant acquire critical nutrients, thwart pathogen attack, and promote growth and yield. Therefore, there is widespread interest in harnessing the plant microbiome to increase yield and environmental resilience of agricultural commodities. A roadblock, however, is the complexity of the soil microbiome and the environment from which the host plants recruit root-associated bacteria. This makes dissection of the microbiome assembly process difficult under natural settings. A promising avenue to overcome this hurdle is by using controlled synthetic microbial communities, where previously isolated and characterized bacterial strains are inoculated into a controlled system.<br/><br/>This research investigates the spatiotemporal dynamics of the switchgrass root microbiome by implementing synthetic microbial communities which are tractable, reproducible, and ecologically relevant. Switchgrass is native to the North America and is used as both a biofuel feedstock and in soil restoration. Previous efforts by the researchers undertook a comprehensive effort to cultivate members of the switchgrass microbiome across diverse locations. Here, the researchers will use these previously isolated bacterial strains to form reduced complexity communities to examine how bacteria assemble both across time and space on plant roots. This information will be used to form a network to infer microbe-microbe interactions which can be further tested by dropping out select microbial modules. These results will bring the field closer to fully understanding the root microbiome assembly process, will provide a resource in the form of a universal switchgrass synthetic microbiome which will be shared with other switchgrass / plant microbial ecologists, and may provide new avenues for beneficial microbe delivery into agronomic systems.<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

47.074

1

4900

4900

2432733

{'FirstName': 'Joseph', 'LastName': 'Edwards', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph Edwards', 'EmailAddress': 'joseph.edwards@ag.tamu.edu', 'NSF_ID': '000898704', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M AgriLife Research', 'CityName': 'COLLEGE STATION', 'ZipCode': '778430001', 'PhoneNumber': '9798626777', 'StreetAddress': '2147 TAMU', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'KU3DCFJJTVN3', 'ORG_LGL_BUS_NAME': 'TEXAS A&M AGRILIFE RESEARCH', 'ORG_PRNT_UEI_NUM': 'DM2CDWR8LAG3'}

{'Name': 'Texas A&M AgriLife Research', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778430001', 'StreetAddress': '2147 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '727500', 'Text': 'Cross-BIO Activities'}

2023~661989

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432733.xml'}

Including Ecosystems in Process Design and Life Cycle Assessment for Environmental Sustainability and Innovation

NSF

10/01/2023

10/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Bruce Hamilton', 'PO_EMAI': 'bhamilto@nsf.gov', 'PO_PHON': '7032920000'}

Even though all human activities require goods and services from nature for their sustenance, conventional engineering has kept ecosystems outside its decision boundary. Ignoring or undervaluing these critical ecosystem goods and services (ES) has resulted in their over use and degradation, and can also mean lost opportunities for innovation and environmental sustainability. Recent efforts are accounting for the role of ecosystems in supporting human activities and are demonstrating the many economic, environmental and societal benefits of including nature in human decisions. Such advances related to engineering design and life cycle assessment have been demonstrated through case studies, but rigorous methods are needed for systematic inclusion of ecosystems in engineering decisions. This work will advance the framework of Techno-Ecological Synergy (TES), with specific focus on developing methods for, 1) integrated design of chemical processes and ecosystems on and around manufacturing sites while accounting for their temporal and spatial variation, 2) including ecosystem services in life cycle assessment (LCA) by means of a rigorous mathematical framework, 3) education and outreach activities to improve knowledge about ecosystem services among students and practitioners.<br/><br/>Local TES design at a manufacturing site will be formulated as a multi-objective optimization problem that accounts for spatial and temporal variation of these systems such as the intermittent availability of many ecosystem services versus the continuous demand for these services from human activities. The mathematical framework for ES in LCA will explicitly include ecosystems in LCA along with their synergies and trade-offs in providing ES, and their interaction with technological systems. It will enable calculation of<br/>sustainability metrics by comparing the demand and supply of ES at multiple spatial scales. This work will be in collaboration with an expert in ecosystem services, and will be applied to problems of interest to industry sustainability.<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

2432851

{'FirstName': 'Bhavik', 'LastName': 'Bakshi', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bhavik R Bakshi', 'EmailAddress': 'bhavik.bakshi@asu.edu', 'NSF_ID': '000107938', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'ZipCode': '852813670', 'PhoneNumber': '4809655479', 'StreetAddress': '660 S MILL AVENUE STE 204', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'AZ04', 'ORG_UEI_NUM': 'NTLHJXM55KZ6', 'ORG_LGL_BUS_NAME': 'ARIZONA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'StateCode': 'AZ', 'ZipCode': '852813670', 'StreetAddress': '660 S MILL AVENUE STE 204', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'AZ04'}

[{'Code': '140300', 'Text': 'Proc Sys, Reac Eng & Mol Therm'}, {'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}]

['2018~890', '2019~51194']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2432851.xml'}

I-Corps: Translation Potential of an Immunotherapeutic Oncolytic Virus

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/commercial potential of this I-Corps project is based on the development of an immunotherapeutic virus vector for cancer treatment. This modified virus targets cancer cells and activates the immune system, generating an adaptive immune response and potential synergy with Immune Checkpoint Inhibitors. Current solutions do not offer both direct cancer cell destruction and immune system enhancement. Ultimately, this approach has the potential to significantly change cancer therapy and benefit a wide range of cancer patients.<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 immunotherapy and gene delivery platform that addresses the major hurdles for the success of oncolytic vaccines and gene therapy for solid tumors. The solution was developed and tested using a new generation of therapeutic vectors, based on vaccinia virus, that is able to directly kill cancer cells, activate the immune system against tumor antigens, and deliver therapeutic transgenes at tumor sites via blood circulation. In addition, the vectors in this solution combine with standard of care or immune checkpoint inhibitors and may result in complete eradication of tumors and metastases.<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

2432981

{'FirstName': 'Ian', 'LastName': 'Mohr', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ian J Mohr', 'EmailAddress': 'ian.mohr@nyumc.org', 'NSF_ID': '0000A03NF', 'StartDate': '06/25/2024', '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': '430 East 29th Street', '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': '2432981.xml'}

I-Corps: Translation Potential of Back Support Exoskeleton Technology

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

The broader impact of this I-Corps project is the development of a back support device that assists users with bending and lifting tasks. Currently, more than 25% of the 80 million U.S. workers must lift objects that weigh more than 50 pounds on a regular basis. As a result, more than 120,000 of these workers sustain lower back injuries each year from repetitive lifting resulting in productivity losses, high employee turnover, and lower quality of life. This technology is a back exoskeleton or exosuit, which relieves loads from the back and reduces the risk of injuries or pain. This technology may be used in occupations such as manufacturing, logistics, nursing and emergency medicine, construction, mining, and retail stores. Each of these occupations has a relatively high rate of back injuries due to the repetitive lifting or lifting of heavy objects required for the job. <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 a back support exoskeleton that assists users with bending and lifting tasks. The technology is designed to make a lifted object feel between 35-50 pounds lighter to the user's back. The design is completely passive, using no motors or batteries. Instead, it utilizes a lightweight fiberglass leaf spring that stores energy when bending and releases the energy to assist when standing up. The exoskeleton looks and feels like a lightweight backpack with leg straps, weighing only 5.5 pounds, and it can be put on in 15 seconds. The combination of the fiberglass spring and a specifically designed differential mechanism allow users to seamlessly go about their work while the device assists them with lifting tasks, without hindering them during walking and without needing to engage or disengage the exoskeleton. A prototype has been shown to decrease muscle activity by over 30% during lifting, which reduces strain on the back, lowering the risk of injury. In addition, the technology also decreases the energy required during lifting, improving overall user well-being. Compared to other back exoskeletons, this device is simpler yet provides three times more support to the back, which may help to reduce back injuries.<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

2433053

{'FirstName': 'Alan', 'LastName': 'Asbeck', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alan Asbeck', 'EmailAddress': 'aasbeck@vt.edu', 'NSF_ID': '000707410', 'StartDate': '06/17/2024', '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': '240616100', 'StreetAddress': '300 TURNER ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'VA09'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433053.xml'}

RAPID: Evolving risk dynamics between stakeholders during the H5N1 outbreak in dairy cattle

NSF

10/01/2024

09/30/2025

{'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': "Robert O'Connor", 'PO_EMAI': 'roconnor@nsf.gov', 'PO_PHON': '7032927263'}

The 2024 outbreaks of H5N1 avian influenza in U.S. dairy cattle across multiple states represents a significant shift as this virus historically has affected mainly wild and domestic birds, not cows. These outbreaks are continuing to occur, posing risks to both human health and the stability of the dairy industry. Because the current scientific understanding of how the virus transmits in this new host is not fully known, designing effective guidelines or rules to control the spread of H5N1 is difficult. Such scientific understanding is critical for developing federal and state decisions, but also in guiding the actions by non-governmental stakeholders to mitigate risk. These decisions and actions are shaped by H5N1 information, risk perceptions, and understanding of the causes of the problem. This project enhances national health interests by investigating how different stakeholders, from government officials to the general public, use and perceive information about H5N1. The insights gained from this research help guide better communication and decision making for safeguarding public and animal health. <br/><br/>This proposal seeks to understand what information informs decisions at the federal and state levels and compare this to the information guiding veterinarians and the U.S. public in their risk perceptions and decision making. This project integrates interviews of federal and state human and animal health officials, panel surveys of accredited veterinarians, and the general public, to capture changes within and among stakeholder groups in information use, risk perceptions, and decisions over time. The research provides a unique opportunity to systematically assess how well-aligned these risk dimensions are across different stakeholder levels, providing a comprehensive perspective of how evolving and competing concerns influence the management of this crisis.<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

47.075

1

4900

4900

2433191

[{'FirstName': 'Rob', 'LastName': 'DeLeo', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rob A DeLeo', 'EmailAddress': 'rdeleo@bentley.edu', 'NSF_ID': '000757992', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Manuel', 'LastName': 'Ruiz Aravena', 'PI_MID_INIT': 'I', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Manuel I Ruiz Aravena', 'EmailAddress': 'mir41@msstate.edu', 'NSF_ID': '000963770', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Elizabeth', 'LastName': 'Shanahan', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth A Shanahan', 'EmailAddress': 'shanahan@montana.edu', 'NSF_ID': '000086525', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'ZipCode': '59717', 'PhoneNumber': '4069942381', 'StreetAddress': '216 MONTANA HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Montana', 'StateCode': 'MT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MT01', 'ORG_UEI_NUM': 'EJ3UF7TK8RT5', 'ORG_LGL_BUS_NAME': 'MONTANA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Montana State University', 'CityName': 'BOZEMAN', 'StateCode': 'MT', 'ZipCode': '59717', 'StreetAddress': '216 MONTANA HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Montana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MT01'}

{'Code': '132100', 'Text': 'Decision, Risk & Mgmt Sci'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433191.xml'}

I-Corps: Translation potential of a mechanical tool to perform endoscopic vein harvesting

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

The broader impact of this I-Corps project is the development of a tool to reduce damage when harvesting veins used for coronary artery bypass grafting surgery. Heart disease is the leading cause of death in the U.S., with approximately 700,000 deaths annually from various heart conditions. Patients with coronary artery disease can suffer from unexpected heart attacks unless the blockages are removed or bypassed. Heart surgery carries significant costs for materials and tools that are currently used to harvest veins in the leg for coronary artery bypass surgery. Physician assistants and cardiothoracic surgeons have identified several issues using the current electrocautery devices on the market due to device failure during operation, added costs for the tool, added surgical time if bleeding occurs, and potential damage to the vein graft that can lead to poor outcomes after surgery. This solution has the potential to introduce a technology to reduce costs, surgical time, and damage to veins during harvesting.<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 method to mechanically cut and clip veins during endovascular vein harvesting. To treat coronary artery disease patients, physicians perform a surgical procedure to replace a patient's damaged blood vessel with a suitable graft that is harvested from elsewhere in the body. The most common blood vessel used is the great saphenous vein in the leg. Harvesting is currently performed with electrocauterization tools that can cause unnecessary harm to the patient and result in poor patient outcomes. Electrocautery has been observed to fail to effectively seal the larger blood vessels while harvesting, damage tissue, and fail to cut through side vein branches. This technology is a purely mechanical tool that can cut through a blood vessel while clamping the side branches of veins shut. The tool is designed to provide physicians with a simpler, safer tool for harvesting procedures, which ultimately benefits the patients undergoing these procedures.<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

2433231

{'FirstName': 'Timothy', 'LastName': 'Chung', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy K Chung', 'EmailAddress': 'tkc12@pitt.edu', 'NSF_ID': '000859331', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'ZipCode': '152600001', 'PhoneNumber': '4126247400', 'StreetAddress': '4200 FIFTH AVENUE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'PA12', 'ORG_UEI_NUM': 'MKAGLD59JRL1', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Pittsburgh', 'CityName': 'PITTSBURGH', 'StateCode': 'PA', 'ZipCode': '152600001', 'StreetAddress': '4200 FIFTH AVENUE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433231.xml'}

WORKSHOP: The 2024 XR Access Symposium

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

The XR Access 2024 Symposium will convene researchers and other stakeholders in the area of accessibility and XR to share research and devise a plan for making these technologies accessible to persons with disabilities. This funding will support attendees from academic institutions and nonprofit groups whose work touches accessibility and XR (collectively mixed, augmented, virtual, and extended reality, and 360 video). This year's event, to be held at Cornell Tech's Verizon Executive Education Center in New York City on June 6-7, 2024 builds on work begun at the 2019 Symposium that brought together over 120 researchers, advocates, and industry leaders to discuss the state of XR accessibility and plan for a more accessible future, and is the sixth in the series. The scope of the 2024 Symposium spans the content creation, software development, and hardware aspects of the XR industry, and it is a key aspect of the XR Access Initiative which aims to address the needs of users with speech, motor, vision, hearing and age-related impairments, with cognitive limitations, and with emotional and learning disabilities. There are currently 27 million Americans with low vision, 41 million who are Deaf or hard of hearing, and 18 million with limited mobility. For many of these people, using XR devices and consuming XR content is not possible. The research, design, and advocacy needed to include these users in the 18-billion-dollar XR market is still nascent. This Symposium will have broad impact by catalyzing new research into the specific mechanisms for improving XR accessibility. It will also serve to connect scientists to advocates, educators, and business leaders to ensure that advances in the science of accessibility are implemented with input from people with disabilities and are viable at scale. Persons with disabilities from academia and nonprofits will be encouraged to attend, because no conversation about increasing accessibility in technology can go forward in a meaningful manner without including disability advocates and users with disabilities at the table from the beginning.<br/><br/>XR technologies are on the cusp of becoming mainstream. They will soon reshape the way we work, learn and play. However, today XR technologies are not accessible to the millions of people with disabilities around the world. By their nature, they introduce a completely new set of challenges for people whose abilities are not typically considered in the technology design process. The Symposium will stimulate discussion and collaborative research to address questions such as: How can people with different perceptual abilities experience XR applications? How should XR hardware be designed to consider the needs of people with different abilities? What accessibility features can enhance immersion, enjoyment, and learning through XR for all users? The Symposium will also address deeper questions about the nature and future of accessibility for emerging technologies more broadly. Unlike prior work that develops assistive technology in XR to support people with disabilities, the Symposium aims to foster research that makes XR technologies themselves accessible. To ensure the impact of the research begun at the Symposium, the event's agenda will include meetings of cross-industry working groups, each focusing on increasing the XR Access Initiative's impact in a specific area. The Guidelines and Practices group will synthesize existing accessibility policies and practices in the XR space, and create new ones that are applicable to other emerging technologies. Similarly, the Outreach group will focus on creating strategies for bringing awareness of the need for XR accessibility to key corporate stakeholders and to the general public.<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

2433251

{'FirstName': 'Shiri', 'LastName': 'Azenkot', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shiri Azenkot', 'EmailAddress': 'shiri.azenkot@cornell.edu', 'NSF_ID': '000690878', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'ZipCode': '148502820', 'PhoneNumber': '6072555014', 'StreetAddress': '341 PINE TREE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': 'G56PUALJ3KT5', 'ORG_LGL_BUS_NAME': 'CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cornell University', 'CityName': 'ITHACA', 'StateCode': 'NY', 'ZipCode': '148502820', 'StreetAddress': '341 PINE TREE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

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

2024~49972

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433251.xml'}

Collaborative Research: SBP: Understanding the Cultural and Psychological Roots of Inequality Maintenance: Omissions of Native Americans

NSF

01/01/2024

04/30/2024

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'Steven Breckler', 'PO_EMAI': 'sbreckle@nsf.gov', 'PO_PHON': '7032927369'}

Compared to other racial groups, Native Americans (the Indigenous Peoples of the United States) face disproportionately negative outcomes across many consequential domains of life, including education, income, housing, and criminal justice. Social psychology helps to understand how biases such as stereotyping, prejudice, and discrimination contribute to Native Americans’ disparate outcomes. This research team has identified another distinct form of bias that undermines Native Americans’ opportunities and wellbeing: biases of omission. Biases of omission refer to the ways in which Native Americans are written out of public consciousness. For example, research demonstrates that relative to other groups, mainstream television and news media rarely include Native People or discuss Native issues. Americans are also taught relatively little -- and largely inaccurate -- information about Native Americans. As one example, the majority of history curricula in American schools discuss Native Peoples only in pre-20th century contexts, rendering invisible the 5.2 million Native Americans currently living in the United States. The research in this project documents the scope and psychological impact of Native omissions, and explores how non-Native Americans justify those omissions. Studies also examine the motivational underpinnings of the relation between justifications of Native omissions and non-Natives’ national esteem, and test the efficacy of interventions that offer potential for improving Native peoples’ wellbeing.<br/> <br/>This project explores both the scope of biases of omissions of Native Americans and the psychological processes that perpetuate these biases. The research is based on the observation that a core cultural narrative of the United States is that of an exceptional, morally superior, equitable, and meritocratic society. Yet Native Peoples’ historic and contemporary experiences in the United States, including state-sanctioned violence and discrimination arising from the country’s settler colonial origins, contradicts these core cultural narratives. It is therefore hypothesized that Native omissions arise from a desire among non-Native Americans to protect these core cultural narratives and to maintain national esteem -- a sense of attachment to and pride in one’s nation. Three lines of studies test the tenets of this theoretical framework using large samples of Native American participants coupled with samples of non-Native adults from across the United States. The first phase of research documents the scope and psychological impact of Native omissions, including assessments of how and in what domains Native People experience omissions in U.S. society and the effect of omissions on individual and community wellbeing. Additional studies explore how and to what extent non-Native Americans justify omissions documented by Native participants, and whether justifications of Native omissions play a culturally protective role for non-Natives. The final phase of research examines the efficacy of acknowledging Native omissions as a means of improving Native peoples’ wellbeing by examining whether acknowledgements (vs. justifications) of Native omissions by mainstream U.S. institutions can enhance Native Americans’ individual and collective wellbeing. The program of research aims to expand the psychological literature by laying the theoretical groundwork for understanding an understudied form of bias and by shedding light on the experiences of Native Americans -- people who are vastly underrepresented in psychological theory and research. The project also documents and helps to change the psychological processes that perpetuate social inequalities, particularly those experienced by Native Americans, thereby contributing to the science of broadening participation.<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

47.075

1

4900

4900

2433253

{'FirstName': 'Stephanie', 'LastName': 'Fryberg', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stephanie Fryberg', 'EmailAddress': 'fryberg@northwestern.edu', 'NSF_ID': '000699620', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Northwestern University', 'CityName': 'EVANSTON', 'ZipCode': '602080001', 'PhoneNumber': '3125037955', 'StreetAddress': '633 CLARK ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IL09', 'ORG_UEI_NUM': 'EXZVPWZBLUE8', 'ORG_LGL_BUS_NAME': 'NORTHWESTERN UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Northwestern University', 'CityName': 'EVANSTON', 'StateCode': 'IL', 'ZipCode': '602080001', 'StreetAddress': '633 CLARK ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IL09'}

[{'Code': '110Y00', 'Text': 'SBP-Science of Broadening Part'}, {'Code': '133200', 'Text': 'Social Psychology'}]

2021~407145

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433253.xml'}

EFRI E3P: Sustainable and Circular Engineering for the Elimination of End-of-life Plastics: A Framework for Assessment, Design, and Innovation

NSF

10/01/2023

10/31/2024

{'Value': 'Standard Grant'}

{'Code': '07040000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'EFMA', 'LongName': 'Emerging Frontiers & Multidisciplinary Activities'}}

{'SignBlockName': 'Bruce Hamilton', 'PO_EMAI': 'bhamilto@nsf.gov', 'PO_PHON': '7032920000'}

Engineering the Elimination of End-of-life Plastics (E3P) requires technological advances to maximize recycling and recovery, behavioral understanding to influence consumer attitudes, and economic approaches to incentivize extension of product life. Each alternative involves trade-offs in its social acceptability, economic feasibility, environmental sustainability, and circularity. For example, biodegradable plastics may seem to be most desirable if they decompose to become biological nutrients. However, if these materials have a large life cycle environmental impact, their adoption will not eliminate the end-of-life, but simply shift the environmental burden along the life cycle. Solutions for E3P need to be sustainable by being environmentally benign, economically feasible, and socially desirable. The overall goal of this project is to develop holistic and systematic methods and tools for assessment, design, and innovation toward Sustainable and Circular E3P (SCE3P). <br/><br/>The research team will conduct synergistic research in polymer chemistry, reaction engineering, and molecular simulation to determine properties of depolymerization and valorization processes under practical conditions of contamination; process design to model the cost and physical flows of current and emerging technologies; supply network modeling to determine the effects on the wider chemical industry; behavioral studies to discern and influence the role of consumers; and life cycle and circularity assessment to estimate environmental effects across global value chains. The resulting framework will consider the entire plastics life cycle, including thousands of combinations of alternatives at each step to select the "best" pathway. This framework will be able to assess existing products, design new products and pathways, and encourage innovation toward SCE3P. The framework will be useful for all types of plastics, but the project's experimental focus will be on polystyrene (PS) and poly(ethylene terepthalate) (PET) due to their large market. The SCE3P framework will be applied in the project to plastic products in the food service industry, with case studies done in collaboration with industry consortia and other stakeholders. The project is formulated to contribute to the convergence of chemical engineering, sustainable engineering, and behavioral science, for assessment, design, and innovation toward a sustainable and circular economy of plastics. A target is to develop new knowledge about the chemistry and engineering of various depolymerization and valorization approaches for PS and PET products. The research team will also bring together knowledge about steps in the plastics life cycle to contribute to an innovation roadmap for SCE3P. A spatial model of the U.S. chemical industry will be extended by including the plastics industry and emerging technologies for SCE3P. Behavioral studies will improve the understanding of spillover effects of other decisions on choice of plastic products and their responsible disposal. New data and methods will be developed for assessing and designing circular systems, evaluating their resilience, and identifying hotspots to focus innovation. Application to food services will guide progress toward goals of zero waste and carbon neutrality. The outcome of this project is to be a software prototype of the SCE3P framework, which will be disseminated widely via a university-based website, webinars to industry and other stakeholders, and university courses. Collaborators will provide access to over a hundred companies across the world. The team will develop teaching modules related to the research for inclusion in university courses and high school engineering curricula through the Engineer Your World program which reaches over 10,000 diverse high school students across the U.S.<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

2433265

{'FirstName': 'Bhavik', 'LastName': 'Bakshi', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bhavik R Bakshi', 'EmailAddress': 'bhavik.bakshi@asu.edu', 'NSF_ID': '000107938', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'ZipCode': '852813670', 'PhoneNumber': '4809655479', 'StreetAddress': '660 S MILL AVENUE STE 204', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arizona', 'StateCode': 'AZ', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'AZ04', 'ORG_UEI_NUM': 'NTLHJXM55KZ6', 'ORG_LGL_BUS_NAME': 'ARIZONA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Arizona State University', 'CityName': 'TEMPE', 'StateCode': 'AZ', 'ZipCode': '852813670', 'StreetAddress': '660 S MILL AVENUE STE 204', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'AZ04'}

{'Code': '763300', 'Text': 'EFRI Research Projects'}

2020~1150098

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433265.xml'}

Collaborative Research: HCC: Medium: Computational Design of Complex Fluidic Systems

NSF

10/01/2023

09/30/2025

{'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'}

Recent advances in digital fabrication and computational design optimization have created a new paradigm for how efficiently components of structures, vehicles and wearable devices can be imagined, prototyped and deployed. An additional opportunity for high-impact innovation stems from the plethora of devices incorporating both solid and fluid components that human engineers have traditionally crafted relying on experience and established designed practices; examples include jet engines, hydraulic pumps, filtration systems and medical implants such as heart valves and coronary stents, all of which rely on a delicate functional interaction between a solid, often elastic, structure and a fluid medium. This project will leverage research momentum and experience from computational design optimization of purely solid, elastic structures (that have been the dominant focus of such techniques until now), to extend the reach of optimization-driven design to fluid- and flow-modulating mechanisms. Project outcomes will ultimately fuel innovation in energy efficiency, boost the functionality of soft robotic platforms, and enable the creation of next-generation microfluidic mechanisms including in highly effective prosthetics. Additional broad impact for project outcomes will derive from the development of exciting new curricula at the host institutions, while the real-world appeal and applications will provide strong outreach opportunities to K-12 and community colleges that attract students to STEM careers.<br/><br/>This research focuses on a number of specific challenges associated with functional devices that incorporate fluidic components. Non-linearity of both the solid/compliant phase and the dynamics of the fluid flow is highly relevant to such design tasks and will be treated as an integral component of algorithmic exploration. Non-parametric design approaches that are free to create accurate geometric details and intricate topological features will be explored, and the design of dynamic systems that include periodic or chaotic motion or flow, in conjunction with transient contact/collision patterns, will be investigated. The work will build on the PIs' prior products and expertise in delivering computational design frameworks that can handle tens or hundreds of millions of degrees of freedom, so that project outcomes can accommodate the specification of multiple design objectives stemming from multiple flow scenarios and/or multiple functional traits that contribute to the overall design. The research will develop methods and a scalable computational framework that jointly address these challenges, which is essential to delivering an effective and versatile design platform for fluidic 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.

05/20/2024

05/20/2024

None

Grant

47.070

1

4900

4900

2433307

{'FirstName': 'Bo', 'LastName': 'Zhu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bo Zhu', 'EmailAddress': 'bo.zhu@gatech.edu', 'NSF_ID': '000786907', 'StartDate': '05/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320315', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

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

2021~266273

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433307.xml'}

IRES Track I: Computational Co-Design of Physical Systems with Embodied Intelligence by Integrating Data, Simulation, and User Interface

NSF

10/01/2023

08/31/2025

{'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'}

Designing embodied intelligence for physical systems is an emerging challenge in today's engineering and computing practices. This IRES project aims to tackle the challenge on both sides of software infrastructure creation to bridge scientific communities and research training curriculum development to educate STEM students. By collaborating with two user interface research groups at the University of Tokyo and Japan Advanced Institute of Science and Technology (JAIST), we bring together an interdisciplinary team with their complementary expertise in physics simulation, digital fabrication, data science, and human-computer interaction to devise novel computational tools to support the interactive design of intelligence-embodied physical systems. Fifteen U.S. students, both graduates and undergraduates, will visit Japan in the summer and jointly lead the research project by working with their collaborators at the University of Tokyo and JAIST. The three-month study and research experience will immerse the students in a unique research environment to develop their scientific understanding and programming practices to address the frontier research problems crossing artificial intelligence (AI), scientific computing, user interface, and computational design. The follow-up mentoring activities will guide the students' self-motivated exploration and future professional development in this interdisciplinary field.<br/> <br/>The overarching goal of this research project is to build an open-source software framework to lower the barriers for students, researchers, and engineers to conduct interactive design and visual programming of data-driven intelligent algorithms for various customizable physical systems, including examples of soft-bodied robots, drones, and materials. On the side of infrastructure development, we aim to democratize the creation of adaptable AI algorithms in specific physical and engineering contexts by providing an easy-to-access software framework to help designers conduct their data-integrated design tasks across engineering and computing communities. The software's architecture consists of three essential components --- frontend design interface, backend physics simulator, and data-driven physical-intelligent coordination --- which naturally transition to fifteen clustered sub-projects for the IRES students. On the side of research training development, we plan to redefine the standard way of problem-solving in physical intelligence by transitioning the workflow from the traditional data collection and model activity to a fully integrated design loop by interactively co-designing the data model, physical principles, and intelligent algorithms. We plan to train an inclusive group of students, with a particular focus on minorities and underrepresented students, by developing their new skillsets through developing this open-source infrastructure crossing physical and data sciences.<br/><br/>This project is jointly funded by the International Research Experience for Students program 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.

05/31/2024

05/31/2024

None

Grant

47.079, 47.083

1

4900

4900

2433313

{'FirstName': 'Bo', 'LastName': 'Zhu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bo Zhu', 'EmailAddress': 'bo.zhu@gatech.edu', 'NSF_ID': '000786907', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320415', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

[{'Code': '772700', 'Text': 'IRES Track I: IRES Sites (IS)'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

2022~224710

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433313.xml'}

Collaborative Research: HCC: Medium: Aerodynamic Virtual Human Simulation on Face, Body, and Crowd

NSF

10/01/2023

08/31/2027

{'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'}

This project develops the first high-fidelity aerodynamic virtual human model to support the scientific community and to tackle various emerging public-health problems. The proposed collaborative research addresses the significant and numerous computational challenges associated with the modeling and simulation of dynamic virtual human systems, involving aerodynamic flow processes and various physical components (e.g., face, hair, clothes, crowd, and thermal environments). The specific focus here is on modeling the human's aerodynamic micro-environment and its interactions with human respiratory activities, which have largely been neglected in the virtual human literature. The research aims are: (1) model the aerodynamic microenvironment consisting of thin layers of airflow near the boundary of human face; (2) simulate contact, friction, and solid-air coupling with areas of the human body, including skin, hair, and clothing surfaces; and (3) develop numerical algorithms to model aerodynamic crowds for multi-physics and multi-agent simulation. Among these aims, differentiable numerical solvers will be developed to facilitate optimization and computational design for human respiration-related problems.<br/><br/>The proposed algorithms will introduce a new family of computational tools based on first principles to fill the gaps in simulation, animation, design, and education regarding the previously ignored aerodynamic subarea of virtual human modeling. The PIs will also disseminate the results as open-source software libraries and databases of simulation results. If successful, the availability of these aerodynamics-aware virtual human models, augmented by an ensemble of differentiable physics simulators, individualized data models, interactive visualization, and VR/AR display, can provide convenient and intuitive tools for various applications that involve the human form.<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

2433322

{'FirstName': 'Bo', 'LastName': 'Zhu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bo Zhu', 'EmailAddress': 'bo.zhu@gatech.edu', 'NSF_ID': '000786907', 'StartDate': '05/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'ZipCode': '303186395', 'PhoneNumber': '4048944819', 'StreetAddress': '926 DALNEY ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'EMW9FC8J3HN4', 'ORG_LGL_BUS_NAME': 'GEORGIA TECH RESEARCH CORP', 'ORG_PRNT_UEI_NUM': 'EMW9FC8J3HN4'}

{'Name': 'Georgia Tech Research Corporation', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320315', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

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

2023~383000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433322.xml'}

Conference: International Conference on Epigenetics & Bioengineering

NSF

07/15/2024

12/31/2024

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Manju Hingorani', 'PO_EMAI': 'mhingora@nsf.gov', 'PO_PHON': '7032927323'}

This award will support attendance by students and early career researchers at the 2024 International Conference on Epigenetics and Bioengineering (EpiBio) on October 3-5, 2024, at the Hotel Casa Amsterdam in Amsterdam, Netherlands. EpiBio explores fundamental research and cutting-edge technologies and applications related to the epigenome. The conference brings together interdisciplinary expertise in the field — allying biology, chemistry, physics, data science, and engineering to foster the development of novel methodologies and tools to answer biological questions in epigenetics. Attendees, including graduate students, post-docs, academic faculty, and industry professionals will have the opportunity to engage with peers and established international leaders in the field through keynote talks, oral and poster presentations, and networking activities.<br/><br/>The conference will focus on diverse areas of epigenetics and bioengineering. The main themes are organized around computational epigenetics, clinical epigenetics engineering, emerging technologies, perturbing chromatin and epigenetic engineering, sensing epigenetic modifications and single cell epigenetics. Support will be provided for a diverse group of graduate students, post-docs and early career faculty to attend the conference. These groups of people often do not have the financial resources to travel and participate in events that are important sources of ideas and feedback on research, and provide professional networking, collaboration and career development opportunities. Attendance at EpiBio 2024 will have substantive benefits for U.S.-based researchers starting their career because research in this field has historically been centered in Europe.<br/><br/>This award is co-funded by the Genetic Mechanisms and Systems and Synthetic Biology programs in the Division of Molecular and Cellular Biosciences of the Directorate for Biological Sciences, and the Cellular and Biochemical Engineering program in the Directorate for Engineering.<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.

06/24/2024

06/24/2024

None

Grant

47.041, 47.074

1

4900

4900

2433351

{'FirstName': 'Evan', 'LastName': 'Flach', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Evan Flach', 'EmailAddress': 'evanf@aiche.org', 'NSF_ID': '000662136', 'StartDate': '06/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'American Institute of Chemical Engineers', 'CityName': 'NEW YORK', 'ZipCode': '100055991', 'PhoneNumber': '6464951350', 'StreetAddress': '120 WALL ST', 'StreetAddress2': '23 FLO', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NY10', 'ORG_UEI_NUM': 'KLPNCLPDAS45', 'ORG_LGL_BUS_NAME': 'AMERICAN INSTITUTE OF CHEMICAL ENGINEERS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'American Institute of Chemical Engineers', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100055991', 'StreetAddress': '120 WALL ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NY10'}

[{'Code': '111200', 'Text': 'Genetic Mechanisms'}, {'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}, {'Code': '801100', 'Text': 'Systems and Synthetic Biology'}]

2024~33400

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433351.xml'}

Travel: Travel Supplement for The Vison Workshop on Distributed Computing and Swarm Intelligence

NSF

07/01/2024

06/30/2025

{'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': 'Marilyn McClure', 'PO_EMAI': 'mmcclure@nsf.gov', 'PO_PHON': '7032925197'}

The proposed travel grant aims to cover the expenses for United States (US) scholars attending the Vision Workshop on Distributed Computing and Swarm Intelligence, scheduled for June 24-26, 2024, in Sabaudia, near Rome, Italy. DISCOVER-US represents a pivotal collaboration between European Union (EU) and US research institutions, focusing on advancing distributed computing and swarm intelligence.<br/><br/>Intellectual Merit:<br/>This Vision Workshop on Distributed Computing and Swarm Intelligence will address the following research areas:<br/>o Managing complexity through high levels of abstraction;<br/>o Distributed computing, the compute continuum, swarm intelligence, and edge AI;<br/>o Self-organization, dynamic, and adaptive management; and<br/>o Collaborative programming frameworks and software development tools.<br/><br/>Broader Impacts:<br/>Reasons to support this request include providing the students with the opportunity to:<br/>o Interact with top researchers within their research domain;<br/>o Learn, listen, and exchange ideas with other experts and students working in their research domain to build future collaborations;<br/>o Learn what is considered state-of-the-art in design, implementation, analysis, evaluation, and deployment of computer systems and applications at the edge; and<br/>o Attend topic specific discussions.<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

47.070

1

4900

4900

2433479

{'FirstName': 'Yiran', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yiran Chen', 'EmailAddress': 'yiran.chen@duke.edu', 'NSF_ID': '000575362', 'StartDate': '06/21/2024', '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': '735400', 'Text': 'CSR-Computer Systems Research'}

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433479.xml'}

CAREER: Dynamic Process-Attribute-Data-Performance Modeling to Enable Smart Ultrasonic Metal Welding

NSF

01/01/2024

01/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Bruce Kramer', 'PO_EMAI': 'bkramer@nsf.gov', 'PO_PHON': '7032925348'}

This Faculty Early Career Development (CAREER) grant will support fundamental research on ultrasonic metal welding (UMW). Among the advantages of UMW over conventional fusion welding techniques are the ability to join dissimilar metals, energy efficiency, short welding cycles, and environmental friendliness, making it a promising joining technology for the advanced manufacturing of electrified and lightweight vehicles. Nevertheless, UMW has a relatively narrow operating window and is very sensitive to unpredictable, uncontrollable environmental conditions. This longstanding knowledge gap in the underlying process mechanisms makes the prediction and control of joint quality difficult, which limits its use. This project will take advantage of the emergent information-centric transformation of manufacturing science by leveraging advances in process physics, microstructural analysis, and data science. By establishing dynamic, stochastic relationships between process conditions, microstructural weld attributes, online sensing data, and weld performance, the research will advance the fundamental understanding of process mechanisms in UMW. The knowledge gained will be used to establish a suite of machine learning-based decision-making tools that will ultimately enable smart UMW. This grant will also support diverse educational and outreach activities that contribute to the education of the U.S. smart manufacturing workforce. <br/><br/>It is a widely accepted hypothesis that UMW process conditions influence the joining performance via the dynamic evolution of micro-scale weld attributes and the weld formation process generates a signature, as reflected in parameters that can be sensed online. Nonetheless, there exist no studies to date that adequately model or quantify the inherent dynamic, stochastic process-attribute-data-performance (PADP) relationship. The overarching goal of this research is to create a PADP modeling framework that consists of innovative machine learning and statistical models. The framework will be completed in two steps. First, spatiotemporal models incorporating uncertainty quantification will be built to characterize the process-attribute-performance relationship. Second, a tensor-based correlation and regression analysis will be performed to investigate the attribute-data relationship. This framework will be further employed to develop a series of physics-aware, machine learning tools for process control, including process optimization, online quality monitoring, and real-time control. Finally, the project will investigate the use of a transfer learning methodology to provide a cost-effective way to build PADP models and decision-making strategies for related products or product families. This learning capability will be an essential component in the cloud intelligence that enables the smart manufacturing 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.

06/20/2024

06/20/2024

None

Grant

47.041

1

4900

4900

2433484

{'FirstName': 'Chenhui', 'LastName': 'Shao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chenhui Shao', 'EmailAddress': 'chshao@umich.edu', 'NSF_ID': '000736003', 'StartDate': '06/20/2024', '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': 'ANN ARBOR, MI 481091079', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

[{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}]

2020~250982

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433484.xml'}

RAPID: Drivers Influencing the Persistence of Medically Adverse Cultural Practices

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '04040000', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}

{'SignBlockName': 'Jeffrey Mantz', 'PO_EMAI': 'jmantz@nsf.gov', 'PO_PHON': '7032927783'}

Body modifications, sometimes accompanied with rituals, are widespread across cultures. Some of these practices have been the subject of concerted and prolonged efforts to discourage them for various reasons, including concerns for their impacts on health. However, these interventions have often been ineffective, perhaps because these practices remain fundamentally misunderstood. This project explicitly tests two competing hypotheses explaining the persistence of unhealthy body modification practices to better understand what motivates and maintains them. In doing so, the project trains an undergraduate and multiple graduate students in anthropological research methods, qualitative analysis, and quantitative modeling. Findings from this research provide a deeper understanding of body modification practices, which are disseminated in three major ways: (1) in a policy brief aimed at organizations designing interventions; (2) in meetings with participant communities; and (3) through academic presentations and publications.<br/><br/>While body modification practices are widely thought to be maintained by social norms, it is not currently clear whether the norms are reinforced by potential future marriage partners or by future peer support networks. The RAPID project takes place in a context where a potentially harmful modification practice is being decriminalized, providing an opportunity to test which social network pathway is most likely to influence its persistence. To test these two possibilities, the team utilizes focus group discussions and short surveys to assess how people share information about body modifications, what people perceive as the costs to the practices; and whether body modifications are associated with characteristics of a participants’ social support networks. The project integrates anthropological research on the social dynamics of body modification, signaling theory, and ritual, to expand the understanding of body modification and the creation of identity and cooperation more broadly.<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

47.075

1

4900

4900

2433525

[{'FirstName': 'Laure', 'LastName': 'Spake', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Laure Spake', 'EmailAddress': 'lspake@binghamton.edu', 'NSF_ID': '000813644', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Katherine', 'LastName': 'Wander', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katherine Wander', 'EmailAddress': 'katherinewander@binghamton.edu', 'NSF_ID': '000510388', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Co-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': '139000', 'Text': 'Cultural Anthropology'}

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433525.xml'}

CRII: HCC: Practical Steps Toward Integrating the Tools of Emergency Management with Crisis Informatics Techniques

NSF

12/01/2023

08/31/2024

{'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 seeks to improve how emergency managers can make use of social media posts and other information created by citizens experiencing natural disasters and other crises. This information can help document unfolding crises and reveal needs; used well, this could help emergency managers better assess crisis situations and improve their decisions about where and how to respond. However, despite recent advances in tools that use artificial intelligence techniques to analyze citizen-created information, these tools have not been effectively deployed in actual emergency response situations. This project’s goal is to make effective deployment more feasible, through analyzing the practices and training of emergency responders, identifying gaps between those practices and the technical capabilities of existing information analysis tools, and working to close the gaps through bringing emergency managers and tool developers closer together in the design process. The project team plans to work closely with emergency management organizations, a collaboration that has the potential to save lives and property, reducing suffering and the impact of crises in communities. <br/><br/>The research will proceed in two main phases. First, the project team will survey and interview emergency management practitioners about their everyday technological life. By evaluating the skills of emergency management across its respective domains (including law enforcement, fire science, homeland security, and emergency medical services), the team will provide valuable context to other researchers about where they can find stakeholders, collaborators, and space for development. The team will also collect and analyze emergency management syllabi in order to understand how emergency management students are taught to use technologies. In the second phase, the project team will conduct participatory design exercises with emergency managers that explore how tools that leverage machine learning and information retrieval could fit into their practices, using methods that simulate realistic levels of analysis accuracy in order to account for the inevitable presence of error in these tools and its effect on people’s ability to work in human-in-the-loop systems. In developing the participatory design materials, the project team will evaluate techniques like TF-IDF, Topic Modelling, Keyword-in-Context, and the underlying tools and datasets they depend on, in terms of how well they can be installed, maintained, and applied to contexts different than those they were trained on. Both phases will look at a number of contexts, allowing the research team to evaluate consistency of results across sources of information, populations, and disparate kinds of disaster events. <br/><br/>This project is jointly funded by Human Centered Computing 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.

05/30/2024

05/30/2024

None

Grant

47.070, 47.083

1

4900

4900

2433527

{'FirstName': 'Nicolas', 'LastName': 'LaLone', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicolas J LaLone', 'EmailAddress': 'njligm@rit.edu', 'NSF_ID': '000814362', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Rochester Institute of Tech', 'CityName': 'ROCHESTER', 'ZipCode': '146235603', 'PhoneNumber': '5854757987', 'StreetAddress': '1 LOMB MEMORIAL DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'NY25', 'ORG_UEI_NUM': 'J6TWTRKC1X14', 'ORG_LGL_BUS_NAME': 'ROCHESTER INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}

{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

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

2021~3073

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433527.xml'}

CAREER: Understanding the Stabilizing Role of Muscle-Tendon Units in vivo

NSF

10/01/2023

09/30/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Miriam Ashley-Ross', 'PO_EMAI': 'mashleyr@nsf.gov', 'PO_PHON': '7032924997'}

This CAREER project combines research, training, and educational activities that focus on advancing knowledge of how muscles and tendons function during standing and walking. It is well understood that muscles in the lower body produce forces and that tendons, which attach to muscles, transmit those forces to the skeleton, allowing animals to stand and walk. However, most current knowledge about muscle and tendon comes from experiments that study these tissues when functioning outside of the body. What is not well understood is how muscle and tendon function as an integrated system within the body and, in particular, how they function to meet the demands of maintaining balance while moving. This project will measure the mechanical behavior of muscle and tendon when the body responds to a push intended to challenge the ability to maintain balance. Integrated within the research component is training for two students from underrepresented groups pursuing a PhD in STEM. These students will gain knowledge in the field, develop first-hand experience in carrying out scientific experiments, and develop as leaders in the next generation of interdisciplinary scientists. This CAREER project will impact society by translating new knowledge about how muscle and tendon function during movement by (1) contributing design principles for biologically inspired prosthetics and (2) developing teaching units and workshops offered to students at the Multicultural Education and Counseling through the Arts (MECA) non-profit organization, which serves K-12 grade students (~4,000 underserved youth) in Houston’s historic 6th Ward.<br/><br/>This CAREER project focuses on understanding the role of muscle-tendon units to control movement and stability using a live, freely moving animal, and integrates research, education, training, and outreach. Movement stabilization can be accomplished by several interacting mechanisms: a muscle’s force-modulating properties, the energy-modulating capacity of variable-stiffness tendon springs, and the co-behavior of agonist-antagonist muscle-tendon units. The project’s primary research objectives and outcomes are to use a work-energy based framework to: (1) Determine the muscle-tendon unit properties that modulate the rapid flow of energy absorption during active lengthening in situ. (2) Determine the properties that allow ankle joint agonist-antagonist muscle-tendon units to govern the response of destabilizing perturbations elicited during standing in vivo. (3) Determine the properties that allow ankle joint agonist-antagonist muscle-tendon units to govern the response of destabilizing perturbations elicited during walking in vivo. The experimental approach involves the use of a custom-built, high performance linear actuator to elicit unexpected perturbations to the body during standing and walking. Custom sensors implanted into muscle-tendon tissue and force platform measurements are used to understand the response to perturbations at multiple scales, from muscle-tendon units that control ankle joint function to whole body mechanics. In addition, the project will implement an educational outreach plan that will advance a summer STEM camp curriculum that serves K-12th graders from underrepresented groups. The hands-on activities to be developed will focus on key biomechanical concepts that integrate math, physics, and physical models.<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

47.074

1

4900

4900

2433611

{'FirstName': 'Christopher', 'LastName': 'Arellano', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher J Arellano', 'EmailAddress': 'carellano@uh.edu', 'NSF_ID': '000781910', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': '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': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

{'Code': '765800', 'Text': 'Physiol Mechs & Biomechanics'}

['2022~7312', '2023~128679']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433611.xml'}

RUI: Effects of Traffic Noise on Avian Cognition

NSF

02/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Jodie Jawor', 'PO_EMAI': 'jjawor@nsf.gov', 'PO_PHON': '7032927887'}

Human-derived noise pollution is a ubiquitous feature of many landscapes and has been shown to have a variety of negative effects on the ecology and behavior of animals. Recent research indicates that noise pollution could also affect how well animals learn to solve problems. This award examines the mechanism through which noise pollution affects animal cognition and will help determine whether animals living in noisy habitats (e.g., near highways or busy cities) can overcome the negative impacts of these noise sources on their cognitive performance. This research will provide generalizable insights about how animals respond to changing environmental conditions and will have key implications for the conservation of animal populations. With similar negative effects of noise on cognitive function also proposed for humans, better understanding this relationship will also likely have direct application to the welfare of human societies. The award will provide key infrastructure and research capability at a primarily undergraduate and minority-serving institution, leading directly to numerous opportunities for undergraduate students to gain hands-on research experiences that will help support their future careers in science, especially from groups who have traditionally been underrepresented in STEM fields. <br/><br/><br/>Anthropogenic noise has a number of detrimental impacts on animal physiology, behavior, populations, and communities. A recent study demonstrated further negative effects on cognitive function in one species of captive-raised songbird, but this phenomenon has been little studied and the mechanisms driving this relationship are unknown. The goal of this research is to determine whether traffic noise similarly impacts cognition in other songbird species and whether animals that regularly encounter noise pollution in their environment continue to experience the same level of reduced cognitive performance as naïve individuals. This research will expose birds to foraging tasks designed to measure a variety of aspects of animal cognition (e.g., inhibitory control, motor learning, associative learning, spatial memory, etc.) under varying road traffic noise regimes. This research will make several advances by examining how varying the type and duration of traffic noise exposure impacts cognitive performance in birds held under carefully controlled laboratory conditions, determining whether previous findings extend to wild songbird species, and establish whether noise differentially affects those animals living in wild populations that are more exposed to noise pollution. The results of this award will shed light on the mechanisms driving noise-induced cognitive inhibition, with implications for cognitive science, animal behavior, urban ecology, and conservation.<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

47.074

1

4900

4900

2433677

{'FirstName': 'Christopher', 'LastName': 'Templeton', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher Templeton', 'EmailAddress': 'templeton@pacificu.edu', 'NSF_ID': '000716692', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Western Washington University', 'CityName': 'BELLINGHAM', 'ZipCode': '982255996', 'PhoneNumber': '3606502884', 'StreetAddress': '516 HIGH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WA02', 'ORG_UEI_NUM': 'U3ZFA57417D4', 'ORG_LGL_BUS_NAME': 'WESTERN WASHINGTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3ZFA57417D4'}

{'Name': 'Western Washington University', 'CityName': 'BELLINGHAM', 'StateCode': 'WA', 'ZipCode': '982255996', 'StreetAddress': '516 HIGH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'WA02'}

{'Code': '765900', 'Text': 'Animal Behavior'}

2022~302668

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433677.xml'}

Support for Broadening Participation in the 28th AACG Western Section Conference on Crystal Growth & Epitaxy; Fallen Leaf Lake, California; 9-12 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'}

The design and synthesis of new materials and processes for growth of crystals is important for technological advances. The biennial American Association for Crystal Growth Conference (West) brings together researchers in diverse areas spanning natural sciences and engineering to present their latest findings. The secluded setting of the conference offers a unique platform for exchange of ideas in fundamental and applied areas related to crystal growth. Recent trends in the crystal growth community have revealed challenges in translating crystal growth technologies to industrial manufacturing processes, and in training a diverse workforce for sustaining the innovation economy. To this end, the organizing committee for the 28th version of the conference has included an advanced manufacturing component within the conference program. The award will support the attendance of early-stage researchers and students at the conference (graduate, undergraduate and high school) with emphasis on students from underrepresented communities from universities and high schools all over the country. The award will also support the organization of a panel discussion on student career planning and guidance. The initiatives in this and future versions of the conference to help several manufacturing technologies through development of interdisciplinary projects and collaborations, and for the education and training of a new generation of diverse workforce within the crystal growth community. <br/><br/>The organizing committee for the conference has selected topics in areas of biomimetics, biocrystallization, energy materials, environmental systems, functional materials, and fundamental aspects of crystallization. With participation from industry, academia, and national laboratories, the conference allows a unique set of collaborations that underscore the issues and solutions in fundamental and application-focused aspects of crystal growth. Within each topic, there is an emphasis on addressing challenges in scaling up the synthesis techniques to industry-scale manufacturing platforms with data-enabled AI and machine-learning based techniques. These interdisciplinary bridges are needed to realize the transformative potential for several crystal growth principles and technologies in understanding, engineering, and manufacturing of crystals. The manufacturing focus in this meeting should serve as a template for future meetings to strengthen the nexus between manufacturing and crystal growth. Recruitment efforts are aimed at building a conference program that encouraged participation of several speakers new to the crystal growth community and to the AACG society, including early-stage researchers and students from underrepresented communities. The conference program and abstracts will be disseminated through the AACG website and through AACG newsletter.<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.

06/24/2024

06/24/2024

None

Grant

47.041

1

4900

4900

2433683

{'FirstName': 'Moneesh', 'LastName': 'Upmanyu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Moneesh Upmanyu', 'EmailAddress': 'mupmanyu@neu.edu', 'NSF_ID': '000321484', 'StartDate': '06/24/2024', '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': '088Y00', 'Text': 'AM-Advanced Manufacturing'}

2024~17250

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433683.xml'}

I-Corps: Translation potential of a mobile unit for disaster recovery personnel

NSF

06/15/2024

11/30/2024

{'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 portable, mobile shelter for disaster recovery personnel and survivors in disaster areas. When a disaster strikes a rural or other community, whether it’s a tornado, wildfire, or flooding, the effects are compounded by the lack of available housing for survivors and recovery personnel. Access becomes difficult with hotel and hospital bed space in short supply and geographically dispersed supplies. This disaster mobile unit is designed to be self-sufficient and self-sustaining with solar power, air conditioning, water filtration for drinking water, and secure doors for safety. In addition, the unit includes a communications package to support effective government communication and networking and a medical configuration that could provide an area for medical personnel to treat patients closer to the disaster. <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 energy-sustainable mobile shelters for disaster survivors and recovery personnel. The shelters are designed to provide living quarters, medical access, and communications equipment in times of emergency. The disaster mobile unit is constructed with insulation technologies that minimize its carbon footprint and is paired with high-efficiency solar power generation and water filtration systems to create a shelter that may be deployed into remote areas and set up with minimal infrastructure requirements. The self-sustaining units may provide comfortable conditions when fuel and supporting infrastructure are absent due to post-disaster conditions. the technology allows communities to recover more quickly and also provides continuity of local government and community function during a disaster or immediately after a storm.<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

47.084

1

4900

4900

2433700

{'FirstName': 'James', 'LastName': 'Williams', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': 'Jr', 'PI_FULL_NAME': 'James R Williams', 'EmailAddress': 'james.williams@louisiana.edu', 'NSF_ID': '000993338', 'StartDate': '06/04/2024', '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 CIR 3RD FL', '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': '2433700.xml'}

CDS&E: Collaborative Research: Development and Application of Machine Learning Classification of Optical Transients

NSF

06/01/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '03020000', 'Directorate': {'Abbreviation': 'MPS', 'LongName': 'Direct For Mathematical & Physical Scien'}, 'Division': {'Abbreviation': 'AST', 'LongName': 'Division Of Astronomical Sciences'}}

{'SignBlockName': 'Nigel Sharp', 'PO_EMAI': 'nsharp@nsf.gov', 'PO_PHON': '7032924905'}

This project will develop, test, and use, a range of machine learning (ML) algorithms and pipelines for the photometric classification of optical transients from current and future surveys. The discovery rate of optical transients already outpaces traditional spectroscopic classification methods, and with future surveys only a tiny fraction of their discoveries can be observed spectroscopically. Photometric classification is therefore essential, for identifying rare transients in real time, for classifying transients to allow population studies, and for discovering new classes of transient. Each of these goals requires different ML and algorithmic approaches. Now that appropriate data are in hand and usable for initial classification tests, this is the right time to test the pipelines to be used for the real-time discovery of rare transients, in preparation for future much larger data volumes. Students and postdocs will gain experience developing and implementing ML algorithms, carrying out spectroscopic and multi-wavelength studies of astronomical transients. This experience will feed into undergraduate education, connecting classroom learning and hands-on research and involving non-computer science majors, including student observing with large-aperture telescopes, and science fair experiences for K-12 students.<br/><br/>This project builds on recent successes by this team in creating initial classification pipelines using a range of ML algorithms, which were trained on, and then applied to, real data. It draws on a combination of large survey data, ML techniques, and active multi-wavelength follow-up, to prepare students and postdocs for Big Data scientific techniques in astronomy. This project will develop pipelines to: (i) combine time-series based light curve classification with image-based host galaxy classification; (ii) develop, test, and implement ML pipelines targeted at specific classes of known rare transients; and (iii) design algorithms for anomaly detection to discover new types of rare transients. The classification tools produced by this work will be used for a wide range of time-domain astrophysics applications.<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

47.049

1

4900

4900

2433718

{'FirstName': 'Victoria', 'LastName': 'Villar', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Victoria A Villar', 'EmailAddress': 'victoria.villar@cfa.harvard.edu', 'NSF_ID': '000809398', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'ZipCode': '021385366', 'PhoneNumber': '6174955501', 'StreetAddress': '1033 MASSACHUSETTS AVE STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MA05', 'ORG_UEI_NUM': 'LN53LCFJFL45', 'ORG_LGL_BUS_NAME': 'PRESIDENT AND FELLOWS OF HARVARD COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021385366', 'StreetAddress': '1033 MASSACHUSETTS AVE STE 3', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MA05'}

{'Code': '121700', 'Text': 'EXTRAGALACTIC ASTRON & COSMOLO'}

2021~207876

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433718.xml'}

Elements: An ML Ecosystem of Filament Detection: Classification, Localization, and Segmentation

NSF

01/01/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Marlon Pierce', 'PO_EMAI': 'mpierce@nsf.gov', 'PO_PHON': '7032927743'}

Since object-detection algorithms outperformed humans, one decade has passed. During this period, the unprecedented achievements of the Computer Vision domain made many believe that object detection is a solved problem. However, when it comes to scientific imagery such as microscopic, telescopic, aerial, satellite, and medical images, the general-purpose object-detection algorithms are far from perfect. A pixel-precise segmentation of objects and identification of their physical properties based on their texture features are still outstanding challenges in many interdisciplinary areas of research. Space Weather is one such area. Extreme space-weather events, similar to extreme terrestrial events, can have drastic economic and collateral impacts on mankind. Continuous and automatic monitoring of solar filaments plays an integral role in achieving reliable space-weather forecast/prediction systems, which consequently results in the technical preparedness much needed in many infrastructural aspects of the society, such as the power grid and the GPS systems. Our Machine Learning Ecosystem brings automatic, accurate, and reliable analyses of filaments’ dynamic behavior to the experts’ fingertips. The main contributions of this ecosystem are two data products of annotated filaments, and four software products which carry out the annotation (localization, identification, and segmentation) of these filaments. This modular ecosystem can be easily expanded in the future, beyond the lifetime of the award, as faster and more efficient modules are expected to be implemented by the community and replace the existing ones. Throughout the development of this project, we consult with the instrument/data experts from the National Solar Observatory (NSO) for proper utilization of the observation images and metadata we integrate from the six ground-based observatories of the Global Oscillation Network Group, that together provide a full-disk and continuous (24/7) coverage of the Sun.<br/><br/>The primary focus of this project is on the localization and segmentation of a specific solar event, called a filament, and the identification of its magnetic field chirality. That said, the novel concepts investigated in this project, such as the detection algorithm, the augmentation engine, and the segmentation loss function which is sensitive to granularities of objects, remain agnostic to the type of the event/object of interest. Moreover, the released datasets of annotated filaments can serve the Computer Vision community as a testbed for algorithms that aim at high-precision segmentation of objects. Our Machine Learning Ecosystem consists of two data products and four software products. The largest collection of manually annotated filaments data, and a continuously-growing collection of automatically annotated filaments are the two main data products. The main software products are (1) an augmentation engine that provides users with practically unlimited semi-real filament instances, (2) a deep neural network algorithm for localization, segmentation, and classification of filaments, (3) a high-precision segmentation loss function (sensitive to granularities of the observed filaments) that guides the segmentation task, and (4) a deployable detection module which carries out the localization, segmentation, and classification tasks in real time.<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

47.050, 47.070

1

4900

4900

2433781

{'FirstName': 'Azim', 'LastName': 'Ahmadzadeh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Azim Ahmadzadeh', 'EmailAddress': 'aahmadzadeh1@gsu.edu', 'NSF_ID': '000859306', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Missouri-Saint Louis', 'CityName': 'SAINT LOUIS', 'ZipCode': '631214400', 'PhoneNumber': '3145165897', 'StreetAddress': '1 UNIVERSITY BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'GWCTP4CQ1E65', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MISSOURI SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

[{'Code': '800400', 'Text': 'Software Institutes'}, {'Code': '807400', 'Text': 'EarthCube'}, {'Code': '808900', 'Text': 'Space Weather Research'}]

2022~410386

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433781.xml'}

RINGS: WISECOM - Wireless Integrated Sensing, Learning and Communication Networks

NSF

01/01/2024

07/31/2025

{'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': 'Murat Torlak', 'PO_EMAI': 'mtorlak@nsf.gov', 'PO_PHON': '7032920000'}

Future wireless networks will integrate sensing and communication functions. The sensing capabilities can come from the sensors of the devices in the network. The radio communication signal itself can also be used for sensing, especially when operating at high carrier frequencies, with high bandwidths and large antenna arrays. Examples are cellular networks supporting automated vehicles or industrial robots equipped with radar, lidar or cameras. This project advances the fundamental technologies, from a hardware and software perspective, to enable integrated sensing, learning and communication (ISLAC) wireless networks, capable of obtaining and communicating accurate information about the environment, relevant for the users and for the network operation itself. The sensing accuracy provided by these technologies is critical, both to support a given use case, and to enhance the resilience of the network, enabling a fast respond to failures or mis-configurations. The outcomes of this project will improve cellular connectivity for people and devices, by providing higher data rates, with more reliability, in a way that embraces machine learning and the wealth of sensor data also being deployed in such networks. <br/><br/>To establish the potential of integrated sensing, learning and communication networks to enhance their own resilience, this project develops: (a) the core enabling technologies for ISLAC networks, including hardware and signal processing algorithms for joint sensing and communications; (b) mathematical tools to measure resilience accounting for the particular propagation features and network operation at millimeter wave (mmWave) and sub-Terahertz (sub-THz) bands; (c) learning strategies that exploit sensing information to improve network adaptability; and (d) user-centric algorithms that exploit sensing information to improve network autonomy and increase. The developed strategies will be evaluated using a framework based on a combination of ray tracing, experimental measurements and models that mix the digital, physical, and virtual worlds. This methodology will enable the evaluation of the developed technologies in several relevant scenarios supported by cellular networks, including automated vehicles, automated factories, and immersive reality settings.<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.

06/10/2024

06/10/2024

None

Grant

47.070

1

4900

4900

2433782

{'FirstName': 'Nuria', 'LastName': 'Gonzalez Prelcic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nuria Gonzalez Prelcic', 'EmailAddress': 'ngprelcic@ucsd.edu', 'NSF_ID': '000771932', 'StartDate': '06/10/2024', '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': '181Y00', 'Text': 'NextG Network Research'}

2022~609876

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433782.xml'}

Collaborative Research: SaTC: EDU: Authentic Learning of Machine Learning in Cybersecurity with Portable Hands-on Labware

NSF

12/15/2023

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '11010000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DGE', 'LongName': 'Division Of Graduate Education'}}

{'SignBlockName': 'Ambareen Siraj', 'PO_EMAI': 'asiraj@nsf.gov', 'PO_PHON': '7032928182'}

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>As cybersecurity threats grow in complexity, the burden of responding to these threats also increases. Early detection of security vulnerabilities and threats is needed. Machine learning (ML) approaches enable the analysis of large amounts of data and could be used to predict and prevent future cybersecurity threats. This project will enhance the cybersecurity curricula across computing disciplines using an authentic learning approach. Authentic learning approaches engage students’ active learning and problem-solving capabilities by using hands-on approaches and real-world topics. This approach has been increasingly popular for teaching cybersecurity but is less commonly used to teach ML in cybersecurity. The project will design and develop ten portable labware modules that will support a broad audience to learn ML in cybersecurity effectively and result in more efficient student engagement. The resources developed will support authentic learning of cybersecurity topics, and increase student learning and interests as well as faculty collaboration between Kennesaw State University and Tuskegee University. The project will disseminate the resources via faculty workshops, conference publications, and webinars.<br/><br/>The design of the proposed learning modules will be based on popular machine learning algorithms and publicly available free datasets related to common cybersecurity problems such as Denial of Service, CAPTCHA bypassing, and SQL Injection attacks. The modules will be deployed on the open-source Google CoLaboratory (CoLab) environment. Learners will access and practice all labs interactively using a browser anywhere and anytime without a need for time-consuming installation and configuration. The hands-on labs will provide students with step-by-step interactive activities to learn ML models in the CoLab environment, followed by testing of models. The project will seek to answer the following research questions: (i) Do innovative, authentic learning-based ML in cybersecurity resources increase learners’ knowledge and interest in solving real-world problems and careers in the cybersecurity workforce? (ii) Does the hands-on labware developed by the project impact students’ grades, learning, attitudes, motivation, and self-efficacy towards ML in cybersecurity? (iii) What is the relationship between students’ motivation and ML in cybersecurity learning? (iv) Do participating faculty perceive the ML in cybersecurity authentic learning resources as effective in engaging diverse, underrepresented students in cybersecurity? The project evaluation will use a mixed-methods design and administrative data, focus groups, and survey data. The quantitative and qualitative data generated from these sources will be used for formative and summative assessments. <br/><br/>This project is supported by the Secure and Trustworthy Cyberspace (SaTC) program, which funds proposals that address cybersecurity and privacy, and in this case specifically cybersecurity education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.<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

47.076

1

4900

4900

2433800

{'FirstName': 'Hossain', 'LastName': 'Shahriar', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hossain Shahriar', 'EmailAddress': 'hshahriar@uwf.edu', 'NSF_ID': '000630552', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of West Florida', 'CityName': 'PENSACOLA', 'ZipCode': '325145750', 'PhoneNumber': '8504742825', 'StreetAddress': '1100 UNIVERSITY PKWY BLDG 20E 10', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'FL01', 'ORG_UEI_NUM': 'WHXVFCB1F1E3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF WEST FLORIDA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of West Florida', 'CityName': 'PENSACOLA', 'StateCode': 'FL', 'ZipCode': '325145732', 'StreetAddress': '11000 UNIVERSITY PKWY BLDG 10', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'FL01'}

{'Code': '166800', 'Text': 'CYBERCORPS: SCHLAR FOR SER'}

2021~166696

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433800.xml'}

STEM-APWD: Access and Equity in STEM: Disability and Innovation in Fundamental Research

NSF

07/01/2024

12/31/2024

{'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': 'Lee Walker', 'PO_EMAI': 'lwalker@nsf.gov', 'PO_PHON': '7032927174'}

The overall goals of this conference is to spotlight the kinds of research that disabled investigators are conducting, to highlight ways that disabilities can lead to innovation in research materials, methods, and findings, to discuss the kinds of accessibility challenges and systemic ableism faced by researchers with disabilities at every stage of the research process. The conference will also suggest ways to engage the scientific community in working to overcome challenges and to promote access, equity, and inclusion in fundamental research for disabled investigators. It will highlight both the excellent science that is done by investigators with disabilities, and the means by which excluded individuals may be better supported in STEM. The conference will improve collaboration within and across career stages, fields, and institutions, and between investigators with and without disabilities.<br/><br/>This conference centers the work, perspectives, and lived experiences of researchers with disabilities, in order to initiate a focus in various scientific communities on increasing equitable participation of persons with disabilities in fundamental research. The conference will take place on July 10, 2024 at NSF headquarters in Alexandria, VA, in hybrid format to ensure maximal access to persons with disabilities. It will consist of two panels of 5 invited panelists each. All invited panelists are STEM researchers with various types of disabilities who work in a range of academic disciplines. The first panel seeks to spotlight examples of the kinds of research that disabled investigators are conducting. The second panel focuses on researchers with disabilities who are working on projects to specifically promote access, equity, and inclusion in STEM fields. These conversations will facilitate more inclusive and representative scholarship across disabilities, and will facilitate direct discussion with scientific communities, leadership, and staff. Community awareness and understanding should result in improved policies and opportunities for scientists with disabilities and the communities that engages with them.<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

47.075

1

4900

4900

2433830

[{'FirstName': 'Siobhán', 'LastName': 'Cully', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Siobhán M Cully', 'EmailAddress': 'siobhan.mattison@gmail.com', 'NSF_ID': '000201205', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Caroline', 'LastName': 'Solomon', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Caroline M Solomon', 'EmailAddress': 'caroline.solomon@gallaudet.edu', 'NSF_ID': '000073108', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Robert', 'LastName': 'Englebretson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert Englebretson', 'EmailAddress': 'reng@rice.edu', 'NSF_ID': '000504949', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'William Marsh Rice University', 'CityName': 'Houston', 'ZipCode': '770051827', 'PhoneNumber': '7133484820', 'StreetAddress': '6100 MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'TX09', 'ORG_UEI_NUM': 'K51LECU1G8N3', 'ORG_LGL_BUS_NAME': 'WILLIAM MARSH RICE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'William Marsh Rice University', 'CityName': 'Houston', 'StateCode': 'TX', 'ZipCode': '770051827', 'StreetAddress': '6100 MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'TX09'}

{'Code': '118Y00', 'Text': 'Security & Preparedness'}

2024~93265

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433830.xml'}

I-Corps: Translation potential of non-contact monitoring of human vital signs

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

The broader impact of this I-Corps project is the development of a non-contact health monitoring method with broad applications. The solution has the potential to seamlessly monitor vital signs without requiring users to wear any devices. Unlike wired systems, this technology offers convenience, reliability, and long-term monitoring, benefiting both healthcare providers and individuals seeking advanced care. In addition to targeting diseases like sleep apnea and sudden infant death syndrome, the technology also promises innovation in motion-adaptive cancer radiotherapy. The technology can potentially revolutionize patient care, reducing costs, and improving outcomes, especially for vulnerable populations.<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 an advanced beamforming that supports concurrent multiple target sensing and tracking of human subjects. This technology includes the use of advanced signal processing algorithms that enable high sensitivity and a wide dynamic range for the detection of micro-motions. The technology considers a coherent detection architecture that supports multiple operation modes for high dynamic range. Finally, the solution includes an antenna-in-package for the integration of the system with compact size, low cost, and high performance.<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

2433836

{'FirstName': 'Changzhi', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Changzhi Li', 'EmailAddress': 'changzhi.li@ttu.edu', 'NSF_ID': '000545895', 'StartDate': '06/17/2024', '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': '79409', 'StreetAddress': '2500 BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'TX19'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433836.xml'}

I-Corps: Translation potential of electromagnetic wave manipulation to enhance magnetic resonance imaging systems

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

The broader impact of this I-Corps project is the development of advanced technologies to enhance magnetic resonance imaging systems. This innovation aims to significantly improve the safety and quality of imaging, particularly benefiting patients with metal-based medical implants. By reducing the dependency on high refractive indices materials and simplifying the system architecture, the technology can lower operational costs, making high-quality diagnostic imaging more accessible and safer. This advance promises to address critical gaps in current medical diagnostic capabilities, opening high-quality imaging to a broader market, including resource-limited and rural areas. Preliminary market surveys indicate a strong demand for safer, more efficient imaging solutions, highlighting the technology's potential to transform healthcare diagnostics and improve patient outcomes.<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 dual-layer design tailored for magnetic resonance imaging systems. The technology finely tunes and manipulates electromagnetic waves, enabling in situ adjustments to adapt to different imaging configurations seamlessly. Initial research has demonstrated that this design can enhance image quality and safety in high magnetic field systems, providing a significant improvement over current technologies. Experimental setups have validated the feasibility of the solution, indicating its potential to achieve high diagnostic accuracy while shortening scan times and ensuring patient safety.<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

2433854

{'FirstName': 'Aleksandr', 'LastName': 'Krasnok', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Aleksandr Krasnok', 'EmailAddress': 'akrasnok@fiu.edu', 'NSF_ID': '000801139', 'StartDate': '06/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Florida International University', 'CityName': 'MIAMI', 'ZipCode': '331992516', 'PhoneNumber': '3053482494', 'StreetAddress': '11200 SW 8TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_ORG': 'FL26', 'ORG_UEI_NUM': 'Q3KCVK5S9CP1', 'ORG_LGL_BUS_NAME': 'FLORIDA INTERNATIONAL UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'Q3KCVK5S9CP1'}

{'Name': 'Florida International University', 'CityName': 'MIAMI', 'StateCode': 'FL', 'ZipCode': '331992516', 'StreetAddress': '11200 SW 8TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'FL26'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433854.xml'}

CAREER: Past, Present, and Future of the Peatlands of the Caribbean: Implications for the Carbon Cycle in a Changing Climate

NSF

01/01/2024

05/31/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Matthew Kane', 'PO_EMAI': 'mkane@nsf.gov', 'PO_PHON': '7032927186'}

Tropical ecosystems are subject to some of the highest rates of land-use change and degradation globally. These ecosystems are also being affected by climate variability and warming. Changes in land-use have the potential for important feedbacks on our climate, especially via the carbon cycle. However, the magnitude of these feedbacks on ecosystems are uncertain. This is particularly the case for soil carbon in the tropics. Field measurements of the extent and location of carbon stored in tropical soils, and the processes that control net carbon balance remain sparse. This study specifically looks at tropical peatlands, a very carbon-rich type of habitat. Current maps are believed to significantly underestimate tropical wetland (and peatland) areas resulting in unreliable carbon stock estimates. Likewise, the origin, timing, and developmental history of peatland complexes across the tropics are poorly known, making it challenging to identify and quantify the main controls on peat formation. These data and knowledge gaps make it difficult to predict peatland evolution and their associated carbon content under present and future conditions. As such, ecologists don’t quite understand where or why peat forms under tropical conditions, and what controls accumulation rates. This project is the first to aim at gaining an integrated understanding of the origin and development of Caribbean peatlands, and will use extensive field surveys, detailed peat-core data and synthesis, as well as process-based computer modeling. This CAREER project will contribute to the US world-leading expertise in Earth System Science, advance the peatland community’s research needs, and guide policy and land management decisions.<br/><br/>This research project combines new field work with paleoecological and modeling studies as well as extensive student training on the terrestrial carbon balance of Caribbean peatlands. The PI and her team will be integrating 1) new data collection from multiple sites along the Caribbean coast of Nicaragua and Costa Rica, 2) a synthesis of existing data from other Caribbean peatlands, and 3) processed-based ecological simulations. The overarching question this project addresses is: what are the conditions that enable peatland initiation, facilitate peat development, and control peatland C balance over decadal to millennial timescales? The existence of peat deposits across the study region will be mapped and confirmed using extensive field surveys. How and when Caribbean peatlands became established will be determined by using detailed peat-core data and synthesis of published records. C stocks will be estimated, and the relationships between the rate of peat formation and paleoenvironmental change will be examined. Using process-based peatland models, C sequestration rates will be simulated and quantified to elucidate the current function of Carribean peatlands, and forecast how they might respond to natural and anthropogenic forcings in the future. Overall, this project will produce the first comprehensive assessment of the location, extent, genesis, and development of Caribbean peatlands. This work is necessary to assess the past, present, and future resilience of tropical ecosystems and to help inform land management decisions; it will also allow ecologists to benchmark Earth System Models and test hypotheses about the role of tropical peatlands in the Holocene global C cycle.<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

47.074

1

4900

4900

2433890

{'FirstName': 'Julie', 'LastName': 'Loisel', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julie Loisel', 'EmailAddress': 'juloisel@hotmail.com', 'NSF_ID': '000581812', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'ZipCode': '895570001', 'PhoneNumber': '7757844040', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nevada', 'StateCode': 'NV', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NV02', 'ORG_UEI_NUM': 'WLDGTNCFFJZ3', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF THE NEVADA SYSTEM OF HIGHER ED', 'ORG_PRNT_UEI_NUM': 'WLDGTNCFFJZ3'}

{'Name': 'Board of Regents, NSHE, obo University of Nevada, Reno', 'CityName': 'RENO', 'StateCode': 'NV', 'ZipCode': '895570001', 'StreetAddress': '1664 N VIRGINIA ST # 285', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nevada', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NV02'}

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

2023~641031

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2433890.xml'}

Evaluation of GE crop transgene adsorption to microplastics and downstream fate in the environment

NSF

03/01/2024

12/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Karl Rockne', 'PO_EMAI': 'krockne@nsf.gov', 'PO_PHON': '7032927293'}

Genetically engineered crops remain controversial because of the unknown impacts these crops and their engineered genes have on human and ecological health. While genetically engineered crop genes can give helpful traits like pesticide resistance to crops, some can also be harmful if they are released in the environment. Antibiotic resistance genes (‘ARGs’) and silencing RNA genes are two examples of genes that are potentially harmful. ARGs can increase the number of antibiotic resistant bacteria in the environment, which is a threat to public health. Silencing RNA genes can affect the genetic material of other organisms and the behavior of these genes in the environment is not well understood. Persistent pollutants like microplastics have been shown to make these genes more stable in the environment, making it more likely that they can be transported widely and negatively affect beneficial organisms. The goal of this research is to assess the transport, persistence, and uptake of ARGs and silencing RNA genes that are attached to microplastics in the environment. Understanding how genetically engineered crop genes behave in the environment is important for many fields including agriculture, medicine, and water treatment. The results have strong potential to advance knowledge and benefit society through the development of risk-based management policies to protect health by minimizing the spread of harmful genes. <br/><br/>The use of genetically engineered (GE) crops has remained controversial due to uncertainty regarding the ultimate fate and potential impacts the engineered genes can have on the surrounding environment. Common transgenes contained in modern GE crops include ARGs and silencing RNAs that have recently been detected in wastewater treatment plants and other environments. These findings are concerning because transgene contributions to global antibiotic resistance and their potential impacts to gene expression in environmental microbes are highly uncertain. Transgenes have also recently been shown to adsorb to the surfaces of micro- and nano-scale plastics (‘MNPs’) that are frequently found in wastewater treatment plants and soils, suggesting their transport potential and resistance to degradation in the environment may be greater than currently estimated. The goal of this research is to understand how MNPs impact the transport of GEs in the environment. This goal will be achieved using a combined modeling and experimental approach to: i) Quantify transgene adsorption kinetics to MNPs, soils, and wastewater biosolids; ii) Assess the effects of key environmental factors on the persistence and uptake of GE transgenes; and iii) Evaluate transgene transport and transformation of model soil bacteria in agricultural soils. Successful completion of this research directly addresses important research gaps concerning transgene adsorption to MNPs, their behavior in the environment, and translation of experimental data to modeling frameworks that can be utilized by diverse stakeholder groups. Benefits to society result from interdisciplinary research training for graduate and undergraduate students to improve the Nation’s STEM workforce. Additional benefits result from enhanced scientific literacy through learning modules for undergraduate classes and development of outreach materials focused on microplastics in the environment for K-12 schools in the Palouse region of Washington State.<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.

06/11/2024

06/11/2024

None

Grant

47.041

1

4900

4900

2434062

{'FirstName': 'Courtney', 'LastName': 'Gardner', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Courtney M Gardner', 'EmailAddress': 'courtney.gardner@austin.utexas.edu', 'NSF_ID': '000812465', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'ZipCode': '787121139', 'PhoneNumber': '5124716424', 'StreetAddress': '110 INNER CAMPUS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'V6AFQPN18437', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT AUSTIN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Austin', 'CityName': 'AUSTIN', 'StateCode': 'TX', 'ZipCode': '787121139', 'StreetAddress': '110 INNER CAMPUS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'TX25'}

{'Code': '144000', 'Text': 'EnvE-Environmental Engineering'}

2021~284037

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2434062.xml'}

Conference: 2024 Intrinsically Disordered Proteins GRS

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

{'Code': '08070000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'MCB', 'LongName': 'Div Of Molecular and Cellular Bioscience'}}

{'SignBlockName': 'Wilson Francisco', 'PO_EMAI': 'wfrancis@nsf.gov', 'PO_PHON': '7032927856'}

The 2024 Gordon Research Seminar (GRS) on Intrinsically Disordered Proteins (IDPs) is being held at the Les Diablerets Conference Center in Switzerland on June 22-23, 2024. This will be the fifth of a series of biannual conferences primarily attended by a diverse group of graduate students and postdocs. This seminar will bring together trainees from a wide range of disciplines to discuss current directions in the IDP field, as well as examine the interdisciplinary experimental and conceptual demands of contemporary IDP research. The GRS provides an ideal setting to facilitate international and interdisciplinary collaboration. It will also provide key networking opportunities, as well as allowing a range of different perspectives to be discussed and compared - a key aspect for such a broad and diverse field. <br/><br/>The 2024 IDP GRS is focused on the biophysics and biology of intrinsically disordered proteins. The GRS program features three formal sessions, one featuring a keynote speaker and two trainee-led sessions curated from abstract-selected talks. The three scientific oral presentation sessions highlight contemporary questions in the IDP field that have emerged from these cross-disciplinary conversations. There are also two poster sessions and a mentorship panel covering academic funding acquisition. The meeting will feature a small number of attendees (up to 90 participants). The keynote speaker will discuss disordered sensing from basic principles to the de novo sensor design. The first trainee-led session will highlight the recent discoveries enabled by studying IDP-mediated phenomena<br/>through a lens of polymer physics, biophysics, and biochemistry. The second trainee-led session will focus on the emergent properties that can arise when disordered proteins generate higher-order assemblies in the physical sense, such as multiprotein structures, biomolecular condensates, fibrils, aggregates, and cellular phenomena regulated by these assemblies. This session will also cover the interplay of these IDR-driven assemblies in cellular and organismal biology. The final session of the GRS is reserved for a mentoring panel where trainees can freely ask questions and engage in open discussion with a select group of faculty members. This panel is designed to help trainees better understand the grantsmanship process across career stages.<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

47.074

1

4900

4900

2434070

[{'FirstName': 'Jhullian', 'LastName': 'Alston', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jhullian Alston', 'EmailAddress': 'jhullian.alston@childrens.harvard.edu', 'NSF_ID': '0000A0BJ3', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jacqueline', 'LastName': 'Pelham', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jacqueline F Pelham', 'EmailAddress': 'pelham@wustl.edu', 'NSF_ID': '0000A090N', 'StartDate': '06/04/2024', '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': '114400', 'Text': 'Molecular Biophysics'}

2024~7000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2434070.xml'}

Conference: 13th Sustainable Nanotechnology Organization Conference November 2024

NSF

09/01/2024

08/31/2025

{'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'}

The Sustainable Nanotechnology Organization Conference is an annual event dedicated entirely to promoting sustainable nanotechnology that engages experts and early career researchers from around the world. For 2024, the conference has two main goals: (1) to share the latest knowledge and (2) to encourage in-depth discussions on how nanotechnology can help address important challenges in the 21st century, especially those related to the environment and human health. Seven prominent experts from various fields, including science, engineering, medicine, and agriculture, will deliver keynote or plenary speeches. There will also be discussions and presentations about the role of nanotechnology in topics with societal impacts including climate change, infrastructure, energy, and agriculture. To promote sustainable nanotechnology, the presentations and discussions will emphasize how nanomaterials behave in the environment, and their impact on the environment and human health. In addition to bringing together experts from various fields, the conference is a platform for people at all stages of their careers, from students to accomplished professors, as well as nanotechnology stakeholders from academic institutions, government agencies, and industry. It is anticipated that 200 students and experienced scholars will attend the conference. The conference organizers aim to increase access to science and nanotechnology, enhance diversity in science, and create an inclusive culture among researchers and other stakeholders in sustainable nanotechnology.<br/><br/>The Sustainable Nanotechnology Organization Conference is exclusively devoted to sustainable nanotechnology, bringing together experts and young researchers from across the nation. The 2024 conference will address pressing issues with significant societal impacts, including climate change, infrastructure, energy, and agriculture, and the role sustainable nanotechnology can play in addressing these issues. There will be seven plenary or keynote talks by an outstanding and diverse group of experts from various fields of science, engineering, medicine, and agriculture. Conference participants will contribute through oral technical sessions and poster presentations. To promote integration of sustainability in the applications of nanotechnology, presentations and discussions will also focus on environmental fate, transport, and exposure as well as human health impacts of nanomaterials. This exchange of ideas by experts from different fields of knowledge will continue to catalyze the realization of the potential of nanotechnology while minimizing unintended consequences. Efforts are being made to ensure the conference has solid representation and participation from underrepresented groups in science, technology, engineering, and mathematics. The conference is expected to be attended by up to 200 students and experienced scholars, who will share ideas, develop collaborations, and help chart a path forward in sustainable nanotechnology. The conference organizers aim to increase access to science and nanotechnology, enhance diversity in science, and create an inclusive culture among researchers and other stakeholders in the area of sustainable nanotechnology.<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

2434177

{'FirstName': 'Geoffrey', 'LastName': 'Bothun', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Geoffrey D Bothun', 'EmailAddress': 'gbothun@uri.edu', 'NSF_ID': '000487112', 'StartDate': '06/20/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Rhode Island', 'CityName': 'KINGSTON', 'ZipCode': '028811974', 'PhoneNumber': '4018742635', 'StreetAddress': '75 LOWER COLLEGE RD RM 103', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Rhode Island', 'StateCode': 'RI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'RI02', 'ORG_UEI_NUM': 'CJDNG9D14MW7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF RHODE ISLAND', 'ORG_PRNT_UEI_NUM': 'NSA8T7PLC9K3'}

{'Name': 'University of Rhode Island', 'CityName': 'KINGSTON', 'StateCode': 'RI', 'ZipCode': '028811974', 'StreetAddress': '75 LOWER COLLEGE RD RM 103', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

[{'Code': '117900', 'Text': 'Nanoscale Interactions Program'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}, {'Code': '768100', 'Text': 'ENG NNI Special Studies'}]

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2434177.xml'}

Elements: A workflow for efficient and reproducible permafrost geomorphology analysis

NSF

01/15/2024

08/31/2025

{'Value': 'Standard Grant'}

{'Code': '05090000', 'Directorate': {'Abbreviation': 'CSE', 'LongName': 'Direct For Computer & Info Scie & Enginr'}, 'Division': {'Abbreviation': 'OAC', 'LongName': 'Office of Advanced Cyberinfrastructure (OAC)'}}

{'SignBlockName': 'Marlon Pierce', 'PO_EMAI': 'mpierce@nsf.gov', 'PO_PHON': '7032927743'}

The project is focused on developing software to study the dynamics of permafrost landscapes, with the aim of quantifying and predicting landscape changes and carbon fluxes. The software developed in this project connects the ever-growing volume of environmental data being collected from high latitudes datasets with cutting-edge software to advance understanding of permafrost landscapes. These analyses will help understand permafrost landscape dynamics and their influence on carbon release, which is crucial for accurate climate projections and informed mitigation efforts. This work trains the next generation of geoscientists in the use of advanced data and computational tools, ensuring they are well-equipped to tackle complex environmental challenges and fostering a more inclusive and diverse scientific community. Through its commitment to open-source tools and interoperability, PyCoGSS also promotes interdisciplinary investigations in permafrost research. This project advances our understanding of climate change and its effects on landscapes while providing hands-on learning experiences in geospatial science through the development of teaching materials alongside research tools.<br/><br/>Recent advancements in satellite technology and software have improved the study of permafrost landscapes, but the lack of appropriate cyberinfrastructure and training hinders widespread adoption, limiting progress in understanding permafrost landscape dynamics. To overcome this, the project combines process geomorphology with advanced computational tools for acquiring, analyzing, and visualizing large interdisciplinary datasets. The Python Computational Geomorphology Software System (PyCoGSS) enables reproducible and scalable analyses of landscape morphology, topographic change, and ecohydrological indicators. The software facilitates the acquisition, analysis, and visualization of topographic and multispectral data, allowing for spatial and temporal trend analyses. It enables quick experimentation with different combinations of morphometric data and multispectral products as inputs to machine learning algorithms. The software development prioritizes user-friendliness and accessibility, catering to researchers at different career stages. The project employs undergraduate researchers to test software to ensure the content is accessible to coding novices and lead to the training of undergraduates in scalable and reproducible landscape analysis. The development of PyCoGSS has the potential to foster a more inclusive surface processes community and promote open-source tools and datasets.<br/><br/><br/>This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Office of Polar Programs (OPP), the Division of Research, Innovation, Synergies, and Education (RISE), and the Geomorphology and Land-use Dynamics (GLD) Program within the NSF Directorate for Geosciences.<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

06/12/2024

None

Grant

47.050, 47.070, 47.078

1

4900

4900

2434200

{'FirstName': 'Joanmarie', 'LastName': 'Del Vecchio', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joanmarie Del Vecchio', 'EmailAddress': 'joanmarie@dartmouth.edu', 'NSF_ID': '000834511', 'StartDate': '05/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'College of William and Mary', 'CityName': 'WILLIAMSBURG', 'ZipCode': '231852817', 'PhoneNumber': '7572213965', 'StreetAddress': '1314 S MOUNT VERNON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'VA01', 'ORG_UEI_NUM': 'EVWJPCY6AD97', 'ORG_LGL_BUS_NAME': 'COLLEGE OF WILLIAM AND MARY', 'ORG_PRNT_UEI_NUM': None}