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Travel: NSF Student Travel Grant for ACM Conference on Security and Privacy in Wireless and Mobile Networks 2024 (ACM WiSec)

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The 17th Association for Computing Machinery (ACM) Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec) will be held in Seoul, South Korea from May 27-30, 2024. This proposal requests $20,000 in funding to assist approximately ten United States-based graduate students to attend WiSec 2024. WiSec is one of the leading international conferences on the security and privacy of wireless communications and mobile networks. Every year, researchers present novel ideas and fundamental advances in areas including location privacy, anonymity, security of smartphones, jamming attacks and defenses, and usable mobile security. WiSec serves to foster communication among researchers and practitioners with a common interest in improving the security of wireless networks and devices through scientific and technological innovation. <br/><br/>Participation in conferences such as WiSec is an extremely important part of graduate students' research and career development, providing the opportunity for them to present their own work, attend panel and keynote speech sessions, interact with peers and senior researchers, and expose themselves to leading-edge work in the fields of wireless networks security and mobile privacy. The support requested in this proposal will enable more U.S.-based graduate students to participate in WiSec 2024 than would otherwise be able to attend. Students will be selected based on their connection and contribution to the WiSec community and their financial need, with an eye toward including students from a wide range of institutional and demographic backgrounds in order to broaden the talent pool available to the cybersecurity 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.

04/30/2024

04/30/2024

None

Grant

47.070

1

4900

4900

2422062

{'FirstName': 'Doowon', 'LastName': 'Kim', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Doowon Kim', 'EmailAddress': 'doowon@utk.edu', 'NSF_ID': '000851685', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422062.xml'}

Doctoral Dissertation Research: Evaluation of a New Hypothesis about Plant Domestication.

NSF

06/15/2024

05/31/2026

{'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': 'John Yellen', 'PO_EMAI': 'jyellen@nsf.gov', 'PO_PHON': '7032928759'}

This doctoral dissertation award focuses on the "Goosefoot" plant, a crop which was domesticated at least 3,500 years ago, but is now extinct. This project analyzes ancient goosefoot seeds which were recovered from archaeological sites. The student will also study current day modern wild populations of the species. This research addresses not only locally specific questions about the original domestication process, but also serves as a case study for assessing how annual plants that exhibit plasticity (flexibility in growth and development) are domesticated. Recently, there have been discussions about the possibility of bringing goosefoot back as a crop or using it to genetically fortify quinoa, which could lead to a new variety of plants resilient to climate change challenges. At a theoretical level multi-disciplinary analysis will speak to broader disciplines concerned with plant domestication and evolutionary theory.<br/><br/>New findings about the variability of seeds produced by modern, wild goosefoot populations complicates current theories about goosefoot domestication. Recent research establishes that variability in seed coat thickness of wild goosefoot is more common than previously assumed, and this is a key trait for understanding domestication of annual seed crops. This project is reframing the current narrative of goosefoot domestication by reanalyzing ancient goosefoot assemblages using the framework of adaptive transgenerational plasticity: the idea that parent plants can shape characteristics of their seeds in response to the environment, providing them with better odds of survival. The researchers are also studying the size and shape of ancient goosefoot seeds from several regions to understand if there were distinct local varieties of goosefoot in ancient times. They examine the size and shape of modern, wild goosefoot seeds for comparison, and collect seeds for future growth experiments.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/05/2024

06/05/2024

None

Grant

47.075

1

4900

4900

2422101

[{'FirstName': 'Megan', 'LastName': 'Belcher', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Megan E Belcher', 'EmailAddress': 'b.megan@wustl.edu', 'NSF_ID': '000973456', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Natalie', 'LastName': 'Mueller', 'PI_MID_INIT': 'G', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Natalie G Mueller', 'EmailAddress': 'ngmueller@wustl.edu', 'NSF_ID': '000737165', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'ZipCode': '63110', 'PhoneNumber': '3147474134', 'StreetAddress': 'ONE BROOKINGS DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'L6NFUM28LQM5', 'ORG_LGL_BUS_NAME': 'WASHINGTON UNIVERSITY, THE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Washington University', 'CityName': 'SAINT LOUIS', 'StateCode': 'MO', 'ZipCode': '63110', 'StreetAddress': 'ONE BROOKINGS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MO01'}

{'Code': '760600', 'Text': 'Archaeology DDRI'}

2024~29773

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422101.xml'}

Support for US Early Career Researchers to Present at 26th International Congress of Theoretical & Applied Mechanics (ICTAM); Daegu, Korea; 22-27 July 2024

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Lucy T. Zhang', 'PO_EMAI': 'luzhang@nsf.gov', 'PO_PHON': '7032925016'}

This conference award is to support 17 fellowships to early career researchers presenting papers at the 26th International Congress of Theoretical and Applied Mechanics (ICTAM), to be held in Daegu, Korea, 22-27 July 2024. The ICTAM is organized under the auspices of the International Union of Theoretical and Applied Mechanics (IUTAM). This award provides partial support and networking opportunities for US early career researchers presenting research papers at the ICTAM, held every four years. It presents a unique opportunity for researchers to interact with colleagues working in mechanics from around the world, to build research and education networks and to learn about science diplomacy as it pertains to the field of mechanics.<br/><br/>The purpose of the 2024 USNC/TAM Presenters Fellowship is to increase the number of scientists and engineers from US institutions, with an emphasis on graduate students and junior researchers, especially those who have not previously attended an ICTAM meeting. Beside the international strategic opportunity to present US mechanics on the international stage and the international experience gained by participants, the USNC/TAM mentoring activities will further advance mechanics by increasing participation and developing a cohort of junior researchers. <br/><br/>This project is jointly supported by the Mechanics of Materials and Structures (MoMS) Program in the Division of Civil, Mechanical, Manufacturing Innovations (CMMI) and the Fluid Dynamics (FD) Program in the Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2422146

[{'FirstName': 'Ana', 'LastName': 'Ferreras Fiel', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ana M Ferreras Fiel', 'EmailAddress': 'susman@nas.edu', 'NSF_ID': '000508466', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Ourania', 'LastName': 'Kosti', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ourania Kosti', 'EmailAddress': 'okosti@nas.edu', 'NSF_ID': '000930096', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'National Academy of Sciences', 'CityName': 'WASHINGTON', 'ZipCode': '204180007', 'PhoneNumber': '2023342254', 'StreetAddress': '2101 CONSTITUTION AVE NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'PKFJZHG2MLG9', 'ORG_LGL_BUS_NAME': 'NATIONAL ACADEMY OF SCIENCES', 'ORG_PRNT_UEI_NUM': 'PKFJZHG2MLG9'}

{'Name': 'National Academy of Sciences', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '204180007', 'StreetAddress': '2101 CONSTITUTION AVE NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

[{'Code': '144300', 'Text': 'FD-Fluid Dynamics'}, {'Code': '163000', 'Text': 'Mechanics of Materials and Str'}]

2024~49929

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422146.xml'}

Travel: 2024 International Microwave Symposium Educational Initiatives for Project Connect

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

The project will support student participation in the 2024 IEEE International Microwave Symposium (IMS), which will be held in Washington, DC on June 16-21, 2024. Support will be provided for an educational program called Project Connect which was initiated in 2014. The objective of the program is to increase the participation of students from underrepresented minority groups in STEM. The program provides students many exciting opportunities to learn the state-of-the-art technology advancements and interact with potential mentors in the microwave and wireless technological areas. The project aims to develop the technical interests of the student participants, motivating them to be involved in undergraduate research and interested in further studies in graduate program, which will help them develop a successful long-term professional career and contribute to the U.S. STEM workforce. <br/><br/>The IEEE IMS addresses research areas in microwave technologies from MHz to THz and is the largest conference in the world in this field. The symposium has played a key role in identifying new directions for research and development. The Project Connect program will include a variety of activities to help participants build their network with other professionals in the technical community: panel sessions with faculty, graduate students, and industry members; an industry mixer with industry members; networking through the industry exhibit; interaction with graduate students in the student design contests; presentation of "IMS Experience" video documentary that each student team prepares. Throughout the entire Project Connect Program, members of the organizing committee and graduate student volunteers at the conference will guide the activities and provide mentorship.<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.

03/25/2024

03/25/2024

None

Grant

47.041

1

4900

4900

2422152

{'FirstName': 'Rhonda', 'LastName': 'Franklin', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rhonda R Franklin', 'EmailAddress': 'rfranklin@umn.edu', 'NSF_ID': '000366503', 'StartDate': '03/25/2024', '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': '554550169', 'StreetAddress': '200 Union ST SE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Minnesota', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MN05'}

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

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422152.xml'}

CAREER: Micromechanics and Metabolic Properties of Living Interfacial Materials

NSF

10/01/2023

03/31/2027

{'Value': 'Continuing Grant'}

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

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

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>This Faculty Early Career Development (CAREER) award will support research to reveal how bacteria grow and adapt at the interface of water and oil, and at the interface of water and air. Films of bacterial aggregates, also called biofilms, are a ubiquitous form of microbial life. When they grow on solid-liquid interfaces, they can cause health problems like infections near joint implants. When biofilms grow at air-liquid interfaces, they can cause lung problems. How biofilms grow and adapt at these interfaces is not well understood. This work will first explore how bacteria cope with changes in surface tension and energy. Next, this work will study how bacteria’s adaptation to changing conditions can be manipulated to create new materials. Finally, this work will suggest how viruses and nanomaterials could be used to control bacterial development at fluid interfaces. The results of this work will ultimately be relevant for treating chronic lung infections or developing more effective treatment of crude oil spills using bacteria. Moreover, these research activities will motivate students to pursue STEM careers. The project will adapt professional engagement strategies to develop pre-college and college experiences for minorities, first-generation, and financially challenged students. It will promote an inclusive climate and facilitate these students’ academic success through a range of mentored experiences. Educational activities include a “Bugs as Materials” Camp, a college application workshop, and a summer experience for undergraduates.<br/><br/>The physicochemical mechanisms that regulate microbial growth in biofilms remain poorly understood, in part because of the versatility of microorganisms’ ability to respond to diverse environmental conditions. Even less well-known are the mechanisms governing the growth and metabolic responses of biofilms formed at the fluid interface. To test the overarching hypothesis that bacteria metabolize a patch of an interface and secrete a protective coating to thrive under harsh interfacial conditions, three objectives will be pursued: (1) systematically elucidate the viscoelastic properties and the physiology of interfacial films; (2) characterize the effects of phenotypic adaptation of bacteria under interfacial confinement on interfacial film mechanics; and (3) determine how the mechanical integrity of mixed interfacial films is altered by chemical and biological insults. Model organisms, including Pseudomonas aeruginosa and Staphylococcus aureus, will help elucidate how films at bacterial interfaces form, and how the rheological properties are altered by physical, chemical, and biological insults.<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.

03/18/2024

05/31/2024

None

Grant

47.041

1

4900

4900

2422153

{'FirstName': 'Tagbo', 'LastName': 'Niepa', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tagbo H Niepa', 'EmailAddress': 'tniepa@andrew.cmu.edu', 'NSF_ID': '000754391', 'StartDate': '03/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}, {'Code': '747900', 'Text': 'BMMB-Biomech & Mechanobiology'}]

['2022~535156', '2024~8000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422153.xml'}

Collaborative Research: State Health, Institutions, and Politics Survey (SHIPS)

NSF

01/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The State Health, Institutions, and Politics Survey (SHIPS) project will give the research community access to large-scale state-by-state survey data collected at multiple points in time. SHIPS will enable scholars, policymakers, and citizens to explore the evolution of public attitudes about state and federal policies; trust in institutions, policymakers, and experts; economic, social, and psychological well-being; perceptions of domestic and international threats; and a wide variety of other topics. Researchers from heterogenous geographic locations, institutions, career stages, and demographic groups will get access to the project’s infrastructure and data. Investigators will be able to use SHIPS to identify variations in outcomes due to state institutions, history, and policies, as well as employing cutting-edge social science methods to identify causes of public beliefs. The scale of the project will allow researchers to examine public opinion not only across states, but also among specific subgroups that often evade study (e.g., people with low income or education). The project will engage students as part of the research team, as well as offering curriculum development and hands-on training. SHIPS will generate academic papers, public-facing reports, and make data trends easily digestible with interactive visualization and online dashboards.&lt;br/&gt;&lt;br/&gt;The main goal of The State Health, Institutions, and Politics Survey is to provide high-quality state-level longitudinal data on public opinion, allowing researchers to track and document cross-country trends. The research team has developed and validated an approach that allows for the regular collection and post-stratification weighting of large census-balanced samples from every state and Washington, DC. Large-scale survey waves with up to 25,000 respondents will be fielded at regular time intervals. The sample size will enable exploring heterogeneous effects and examining outcomes for small, difficult to study population subgroups. The project will also be flexible and reactive to sudden events that could prompt the need for immediate data collection. SHIPS will give scholars access to survey modules and results via a competitive application process. Half or more of the survey content fielded in each wave funded by this grant will be designed by applicants whose peer-reviewed proposals have been accepted. Successful applicants will have exclusive access to the collected data for one year, at which point it will be made public. The project thus aims to democratize access to high-quality, original multi-wave survey data.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/01/2024

04/01/2024

None

Grant

47.075

1

4900

4900

2422182

{'FirstName': 'James', 'LastName': 'Druckman', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James N Druckman', 'EmailAddress': 'jdruckma@UR.Rochester.edu', 'NSF_ID': '000110424', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146270146', 'StreetAddress': '333 Harkness Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

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

2023~104562

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422182.xml'}

CAREER: Platform for Characterizing Transdiagnostic Markers of Disease from Wearable and Mobile Technologies

NSF

10/01/2023

03/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Steve Zehnder', 'PO_EMAI': 'szehnder@nsf.gov', 'PO_PHON': '7032927014'}

The goal of this Faculty Early Career Development (CAREER) project is to develop an open-source software platform using wearable sensors and mobile phones to help diagnose internalizing disorders in young children. Nearly one in five children experience an internalizing disorder like anxiety or depression. These disorders can hinder development well into adulthood. Yet objective and widely available assessment for these conditions remains a key unmet need. Such an assessment could enable effective diagnosis at scale while advancing the understanding of internalizing disorders, potentially informing future personalized interventions. The results of this project pave the way for improved assessment of a variety of disorders such as fall risk assessment in older adults and in individuals with neurological disorders. This project will also establish a digital mental health interest group at the University of Vermont that will bring together high-school, undergraduate, and graduate students with faculty and industry professionals. This group will engage in an annual digital mental health hackathon, hosted by UVM’s Center for Biomedical Innovation, that focuses on rural mental healthcare.&lt;br/&gt;&lt;br/&gt;This NSF CAREER project advances the fields of childhood mental health, digital medicine, and the engineering of signal processing and machine learning algorithms for extracting meaning from wearable sensor signals. These advances fill key knowledge gaps, and will be made in the context of three research objectives: 1) developing and validating context-aware multi-modal digital biomarkers and using them to identify transdiagnostic latent classes, 2) developing, validating, and optimizing multi-modal, multi-domain digital phenotypes of childhood internalizing disorders, and 3) developing an open-source platform that integrates algorithms for extracting biomarkers, latent classes, and phenotypes from wearable and mobile technologies. Data to inform this project will be collected from children at elevated risk for internalizing disorders. Each child will complete a series of brief mood induction tasks during which movement, speech, electromyography, electrodermal activity, and electrocardiography data will be collected by wearables and mobile phones. These research objectives advance scientific knowledge of the biomarkers and phenotypes of childhood internalizing disorders, trans-diagnostic latent profiles in young children, and the relationship between physiological markers of these conditions and their behavioral symptoms. The first-of-its-kind platform will advance development and validation efforts in digital medicine and allow future extension to a wide array of clinical endpoints.&lt;br/&gt;&lt;br/&gt;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.

03/22/2024

03/22/2024

None

Grant

47.041

1

4900

4900

2422226

{'FirstName': 'Ryan', 'LastName': 'McGinnis', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ryan McGinnis', 'EmailAddress': 'rmcginni@wakehealth.edu', 'NSF_ID': '000771237', 'StartDate': '03/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Wake Forest University School of Medicine', 'CityName': 'WINSTON SALEM', 'ZipCode': '271570001', 'PhoneNumber': '3367162382', 'StreetAddress': 'MEDICAL CENTER BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'NC05', 'ORG_UEI_NUM': 'SN7KD2UK7GC5', 'ORG_LGL_BUS_NAME': 'WAKE FOREST UNIVERSITY HEALTH SCIENCES', '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': '5342', 'Text': 'Disability & Rehab Engineering'}

['2021~162828', '2022~89501']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422226.xml'}

C2H2 EAGER: Gadolinium Contamination in the Middle Rio Grande Valley: Understanding Environmental Fate and Human Exposure

NSF

05/01/2024

04/30/2026

{'Value': 'Standard Grant'}

{'Code': '06010000', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'RISE', 'LongName': 'Div of Res, Innovation, Synergies, & Edu'}}

{'SignBlockName': 'Barbara Ransom', 'PO_EMAI': 'bransom@nsf.gov', 'PO_PHON': '7032927792'}

The escalating impacts of climate change pose unprecedented challenges to freshwater supplies globally, particularly in areas already experiencing water stress, such as New Mexico. This proposal addresses a pressing concern related to the contamination of water resources by medical waste, specifically gadolinium (Gd), a toxic element that is an important component of contrast agents used in magnetic resonance imaging. This research focuses on the analysis of river, stream, and groundwater of the Middle Rio Grande Valley in New Mexico to investigate the fate of anthropogenic Gadolinium in surface and subsurface water resources of understudied arid to semiarid areas and its impact on ecologocal and human health. The research involves field observations and sampling of river and groundwaters and laboratory experimental work. A focus will be to examine and trace the sources of Gd in natural waters and determine its distribution in the environment. The impact of Gadolinium, released to water treatment facilities and ultimately to the environment via the urine of those who have under gone MRI, will be studied and its impact on human health will be determined through exposure and toxicological studies of human digestive/gastric fluids. Broader impacts of the reserach include improved understanding the consequences of medical waste on water quality and public health. The work will provide much needed data for mitigation plans and serve the national interest in promoting environmental sustainability and public welfare. It will also engage local high school students, many from Native American tribes in the area, in water projects to foster interest and to increase understanding of water issues in a region already experiencing significant water stress.<br/><br/>The proposed research will address critical research questions regarding the fate, distribution, and toxicity of Gd contamination stemming from medical waste from contrast enhancing magnetic resonance imaging (MRI) fluids containing the element Gadolinium (Gd), a toxic element to humans. In MRI fluids, Gd is chelated into a compound that renders it harmless to humans. However, this fluid is excreted from the body in urine, post imaging, and enters surface and groundwater systems through sewars and sweage treatment plants. Gd aqueous species are then released into the natural environment where they experience interactions with natural materials and processes that can change the speciation allowing it to become bioavailable. This resaerch provides a study of the Gd distribution and speciation in New Mexico Rio Grande Valley surface and ground waters and addresses analytical challenges of speciating natural samples with low-concentrations of Gd. It includes investigation into the effects of gastrointestinal fluids on speciation of Gadolinium and its toxicity. Key outcomes include (1) characterizing the concentrations and species of Gd in natural waters (surface water and groundwater) and sediments along the Rio Grande between Albuquerque and Elephant Butte, (2) an assessment of human exposure pathways and potential health risks associated with Gd ingestion through drinking water sources, and (3) improved understanding of the toxicological implications of Gd exposure focusing on the gastrointestinal tract and its effects on human health. The work will contribute significantly to our understanding of the risks posed by Gd medical waste in the environment.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/16/2024

04/16/2024

None

Grant

47.050

1

4900

4900

2422236

[{'FirstName': 'Rachel', 'LastName': 'Coyte', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachel M Coyte', 'EmailAddress': 'rachel.coyte@nmt.edu', 'NSF_ID': '000954313', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Gayan', 'LastName': 'Rubasinghege', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gayan R Rubasinghege', 'EmailAddress': 'gayan.rubasinghege@nmt.edu', 'NSF_ID': '000797734', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Bonnie', 'LastName': 'Frey', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bonnie A Frey', 'EmailAddress': 'bonnie.frey@nmt.edu', 'NSF_ID': '000828012', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'New Mexico Institute of Mining and Technology', 'CityName': 'SOCORRO', 'ZipCode': '878014681', 'PhoneNumber': '5758355496', 'StreetAddress': '801 LEROY PL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Mexico', 'StateCode': 'NM', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NM02', 'ORG_UEI_NUM': 'HZJ2JZUALWN4', 'ORG_LGL_BUS_NAME': 'NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New Mexico Institute of Mining and Technology', 'CityName': 'SOCORRO', 'StateCode': 'NM', 'ZipCode': '878014681', 'StreetAddress': '801 LEROY PL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Mexico', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NM02'}

{'Code': '300Y00', 'Text': 'Climate Impact on Human Health'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422236.xml'}

Conference: SaTC PIs Meeting Fall 2024

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Xiaogang (Cliff) Wang', 'PO_EMAI': 'xiawang@nsf.gov', 'PO_PHON': '7032922812'}

The Secure and Trustworthy Cyberspace (SaTC) program, a flagship initiative by the National Science Foundation (NSF), addresses critical cybersecurity challenges from a socio-technical perspective. By delving into deep scientific and engineering issues and considering human behaviors, SaTC aims to advance the field of cybersecurity and privacy. The PI meeting will highlight research accomplishment made by the SaTC funded researchers and create a venue to stimulate coordination and collaboration amongst SaTC PIs working on different topic areas and cross disciplines. Breakout sessions, and networking opportunities will foster creativity and help carve out novel research directions. PIs can explore interdisciplinary research opportunities beyond their own study domains. Two-day intense interactions among researchers from different disciplines will lead to new insights, cultivate new collaborations, and help create new research ideas on improving education, recruitment, and career development in cybersecurity.<br/><br/>The proposal seeks support for developing the program for the two-day bi-annual PI meeting to bring together researchers from across the Secure and Trustworthy Cyberspace (SaTC) program in the fall of 2024. The PI will serve on the organizing committee to take on tasks such as identifying and inviting keynote speakers, determining breakout and tutorial topics, as well as organizing sessions to highlight NSF 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.

05/03/2024

05/03/2024

None

Grant

47.070

1

4900

4900

2422237

{'FirstName': 'Alessandro', 'LastName': 'Acquisti', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alessandro Acquisti', 'EmailAddress': 'acquisti@andrew.cmu.edu', 'NSF_ID': '000487138', 'StartDate': '05/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~49995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422237.xml'}

Collaborative Research: SaTC: CORE: Small: U.S.-Ireland R&D Partnership: Detecting Heterogeneous Malware for Internet-of-Things Systems

NSF

10/01/2024

09/30/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Nan Zhang', 'PO_EMAI': 'nanzhang@nsf.gov', 'PO_PHON': '7032920000'}

The Internet of Things (IoT), encompassing devices such as medical equipment, autonomous vehicles, and industrial control units, is becoming integral to modern life and is expected to reach one trillion devices by 2035. Unfortunately, malware attacks on IoT systems are increasing rapidly, exemplified by incidents like the Mirai botnet and the Colonial pipeline attack. While significant research has explored malware detection for PCs and mobile devices, these methods are not suitable for IoT systems due to their diverse operating systems and low power. Current models also struggle against sophisticated attacks that aim to evade detection. To address these challenges, the project team is developing DANGER-IoT, an approach to IoT malware detection that works across heterogeneous platforms, is efficient for low-power devices, and robust against advanced attacks. The researchers are collaborating with industry experts to ensure the project's ideas work well in real-world settings and are creating open-source tools and datasets. Spread across four universities and three countries, this project is also impacting a diverse group of students through new courses, security competitions, and international exchanges.<br/><br/>The DANGER-IoT project focuses on developing advanced machine-learning models for IoT malware detection. The first goal is to create a generic model that can detect malware across heterogeneous IoT platforms by constructing a common embedding space for similar functions across different operating systems and architectures. The project's second aim is to ensure efficiency for low-power devices by applying model compression techniques adapted from explainable AI and model pruning. To enhance robustness, the project will explore large-language models for code-style transfer, making malware appear benign to existing classifiers, and using the results to design a novel moving-target defense. By integrating multi-task learning, behavior classification, and a comprehensive IoT malware dataset, DANGER-IoT aims to provide a scalable detection approach, robust defenses, and significant contributions to the community through shared data, benchmarks, and tools.<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.

06/07/2024

06/07/2024

None

Grant

47.070

1

4900

4900

2422241

[{'FirstName': 'Yin', 'LastName': 'Pan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yin Pan', 'EmailAddress': 'yin.pan@rit.edu', 'NSF_ID': '000172218', 'StartDate': '06/07/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Matthew', 'LastName': 'Wright', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew Wright', 'EmailAddress': 'matthew.wright@rit.edu', 'NSF_ID': '000735285', 'StartDate': '06/07/2024', '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': 'Rochester Institute of Tech', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146235603', 'StreetAddress': '1 LOMB MEMORIAL DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

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

2024~246996

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422241.xml'}

Collaborative Research: SaTC: CORE: Small: U.S.-Ireland R&D Partnership: Detecting Heterogeneous Malware for Internet-of-Things Systems

NSF

10/01/2024

09/30/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Nan Zhang', 'PO_EMAI': 'nanzhang@nsf.gov', 'PO_PHON': '7032920000'}

The Internet of Things (IoT), encompassing devices such as medical equipment, autonomous vehicles, and industrial control units, is becoming integral to modern life and is expected to reach one trillion devices by 2035. Unfortunately, malware attacks on IoT systems are increasing rapidly, exemplified by incidents like the Mirai botnet and the Colonial pipeline attack. While significant research has explored malware detection for PCs and mobile devices, these methods are not suitable for IoT systems due to their diverse operating systems and low power. Current models also struggle against sophisticated attacks that aim to evade detection. To address these challenges, the project team is developing DANGER-IoT, an approach to IoT malware detection that works across heterogeneous platforms, is efficient for low-power devices, and robust against advanced attacks. The researchers are collaborating with industry experts to ensure the project's ideas work well in real-world settings and are creating open-source tools and datasets. Spread across four universities and three countries, this project is also impacting a diverse group of students through new courses, security competitions, and international exchanges.<br/><br/>The DANGER-IoT project focuses on developing advanced machine-learning models for IoT malware detection. The first goal is to create a generic model that can detect malware across heterogeneous IoT platforms by constructing a common embedding space for similar functions across different operating systems and architectures. The project's second aim is to ensure efficiency for low-power devices by applying model compression techniques adapted from explainable AI and model pruning. To enhance robustness, the project will explore large-language models for code-style transfer, making malware appear benign to existing classifiers, and using the results to design a novel moving-target defense. By integrating multi-task learning, behavior classification, and a comprehensive IoT malware dataset, DANGER-IoT aims to provide a scalable detection approach, robust defenses, and significant contributions to the community through shared data, benchmarks, and tools.<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.

06/07/2024

06/07/2024

None

Grant

47.070

1

4900

4900

2422242

{'FirstName': 'Ziming', 'LastName': 'Zhao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ziming Zhao', 'EmailAddress': 'zimingzh@buffalo.edu', 'NSF_ID': '000710958', 'StartDate': '06/07/2024', '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': '142282577', 'StreetAddress': '520 LEE ENTRANCE STE 211', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'NY26'}

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

2024~151946

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422242.xml'}

I-Corps: Translation potential of minimally invasive tubular retractors to maximize visualization in spine operations

NSF

04/01/2024

03/31/2025

{'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 system to aid surgeons performing spinal surgery. Currently, minimally invasive surgical techniques are becoming the primary method by which spinal pathologies and deformities are treated. However, the small incision sizes inherent in these approaches prevents optimal visualization of the operating area, and these procedures require the use of cumbersome surgical microscopes at awkward angles, increasing the risk of surgical error and negatively impacting surgical ergonomics. This solution is a camera system with integrated artificial intelligence (AI) software that subtracts obstructive tool shafts from the field of view, and also highlights tooltips and vital anatomy for the surgeon in real time. By allowing for maximal visualization in minimally invasive settings, this technology may increase the accessibility, ease, and reliability of these procedures. In addition, the AI software and modular hardware create a foundation for a database of surgical procedures that may be used to train other algorithms to be applied in a range of surgical settings including laparoscopic, endoscopic, and robotic techniques.&lt;br/&gt;&lt;br/&gt;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 previous development of a camera system with integrated artificial intelligence (AI) software that maximizes the visualization of minimally invasive spine operations through minimally invasive tubular retractors (MITRs). Minimally invasive tubular retractors (MITRs) are metal tubes with diameters ranging from 14-22 mm that are used as operating corridors in minimally invasive spine surgeries. They suffer from limited visibility, awkward tool angling, and reliance on cumbersome surgical microscopes. This solution utilizes an array of cameras that focus down the MITR’s operating corridor and capture the operating field from multiple angles. These views are analyzed by the integrated AI software to produce a single live image that removes obstructive and unwanted parts of surgeon tools (e.g., tool shaft) while retaining other necessary components (e.g., tooltip). Specifically, the software aims to combine the array of camera inputs into a singular real-time video output that is segmented and inpainted to increase the surgeons view by over 30%. This is achieved with the help of a specialized deep learning computer vision model that enables the software to identify (via segmentation) and crop out (via inpainting) obstructive objects (tool shafts) within the video feed. Ultimately, this visually maximized image is displayed on a heads-up screen in front of the surgeon, improving outcomes by maximizing the visualization of the operating area and the ergonomics of the procedure.&lt;br/&gt;&lt;br/&gt;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.

03/26/2024

03/26/2024

None

Grant

47.084

1

4900

4900

2422243

{'FirstName': 'Kevin', 'LastName': 'Costa', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin D Costa', 'EmailAddress': 'kevin.costa@mssm.edu', 'NSF_ID': '000092198', 'StartDate': '03/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '8023', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422243.xml'}

Conference: CFS (Track 1): RadioSolutions: Making Radiocarbon Broadly Available for Natural Climate Solutions

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Amanda Keen-Zebert', 'PO_EMAI': 'akeenzeb@nsf.gov', 'PO_PHON': '7032924984'}

Natural Climate Solutions (NCS), also referred to as Nature-based Climate Solutions, represent a broad portfolio of land and coastal ocean management options to mitigate climate change. Recently the interest in NCS has intensified due to a lack of success curtailing CO2 emissions. Many of these NCS technologies attempt to move carbon from the atmosphere into parts of ecosystems that store carbon such as soils and trees. Unfortunately, methods to measure and verify CO2 removal are often a NCS stumbling block. The radio isotope of carbon (14C) is a powerful tool to track carbon movement into ecosystems. &lt;br/&gt;&lt;br/&gt;Historically 14C measurements have been expensive and labor intensive. Recently, a MIni CArbon Dating System (MICADAS) was developed to conduct repeat 14C sampling of carbon in air and ecosystems. The MICADAS offers several advantages including lower costs and sample preparation time. The goal of this work is to explore mechanisms to make this instrument broadly available for scientists engaged in NCS research and development. Furthermore, the proposed community facility would establish training modules necessary for scientists new to isotopic work. These training modules will train scientists to take samples in the field and analyze 14C data to help determine the impact of their NCS on carbon cycling.&lt;br/&gt;&lt;br/&gt;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.

03/27/2024

03/27/2024

None

Grant

47.050

1

4900

4900

2422257

{'FirstName': 'Peter', 'LastName': 'Raymond', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Peter Raymond', 'EmailAddress': 'peter.raymond@yale.edu', 'NSF_ID': '000101725', 'StartDate': '03/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Yale University', 'CityName': 'NEW HAVEN', 'StateCode': 'CT', 'ZipCode': '065113572', 'StreetAddress': '150 MUNSON ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CT03'}

{'Code': '1580', 'Text': 'Instrumentation & Facilities'}

2024~29999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422257.xml'}

Travel Support for International Conference on Molecular Vapor Phase Epitaxy (ICMOVPE XXI)

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Paul Lane', 'PO_EMAI': 'plane@nsf.gov', 'PO_PHON': '7032922453'}

NON-TECHNICAL DESCRIPTION <br/><br/>The International Conference on Metal Organic Vapor Phase Epitaxy (ICMOVPE XXI) is an important venue for the presentation of the latest advances in materials and device technologies. The commercial application of MOVPE continues to expand world-wide and it is critically important that the USA has trained engineers working in this field to provide for the US-based economic expansion. The participation of young scientists and engineers will contribute to the dissemination of new knowledge and generate an important source of new technical human resources trained in this critically important materials manufacturing technology. Supporting stronger interactions of these new research scientists and engineers will advance their careers and support the generation of new technological advances. NSF support will help to create a strong and active cadre of new talent in the USA which can contribute strongly to the future of the research and development of advanced semiconductor production and manufacturing in our country. This talent is critically needed if the USA is to maintain its leadership in advanced semiconductor technology and technical talent development is an important component of the USA’s CHIPS and Science Act.<br/><br/>TECHNICAL DESCRIPTION <br/><br/>The 21st International Conference on Metal Organic Vapor Phase Epitaxy (ICMOVPE XXI) will present the latest advances in science, technology and applications of MOVPE and related growth techniques. This is the pre-eminent Conference in the field and the papers presented represent the leading-edge research done worldwide. The goal of the conference is to create a vibrant and stimulating atmosphere for furthering new and impactful research on MOVPE and related growth techniques. The speakers and discussion leaders are drawn from a wide range of fields and include experimentalists and theoreticians practicing in materials science and engineering research. Topics that will be covered include fundamental studies and modeling of epitaxial processes; Group IV, III-V, and II-VI semiconductors and devices; semiconducting oxides and epitaxial dielectrics; 2D materials and van der Waals heterostructures; heteroepitaxy of mismatched alloys and III-Vs on silicon; low-dimensional structures. This year’s Conference will feature a combination of invited and contributed talks, poster sessions and an industrial exhibit.<br/><br/>Due to the importance and cross-cutting nature of this conference, it is being supported by the Electronic and Photonic Materials program in the Division of Materials Research in the Directorate for Mathematical and Physical Sciences; the Electronics, Photonics, and Magnetic Devices program in the Division of Electrical, Communications, and Cyber Systems in the Directorate for Engineering; and the Advanced Manufacturing program in the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) 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.

06/10/2024

06/10/2024

None

Grant

47.049

1

4900

4900

2422258

[{'FirstName': 'Russell', 'LastName': 'Dupuis', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Russell D Dupuis', 'EmailAddress': 'dupuis@gatech.edu', 'NSF_ID': '000309667', 'StartDate': '06/10/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Mallory', 'LastName': 'Starr', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mallory R Starr', 'EmailAddress': 'starr@mrs.org', 'NSF_ID': '000919583', 'StartDate': '06/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Materials Research Society', 'CityName': 'WARRENDALE', 'ZipCode': '150867537', 'PhoneNumber': '7247792732', 'StreetAddress': '506 KEYSTONE DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_ORG': 'PA17', 'ORG_UEI_NUM': 'MFPJGRD1NWE3', 'ORG_LGL_BUS_NAME': 'MATERIALS RESEARCH SOCIETY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Materials Research Society', 'CityName': 'WARRENDALE', 'StateCode': 'PA', 'ZipCode': '150867537', 'StreetAddress': '506 KEYSTONE DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'PA17'}

{'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}

2024~12000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422258.xml'}

CAREER: A Unified Theory of Private Control Systems

NSF

03/01/2024

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': 'Anthony Kuh', 'PO_EMAI': 'akuh@nsf.gov', 'PO_PHON': '7032924714'}

The recent advances in artificial intelligence and wireless sensor technologies have led to significant research in cooperative optimization. In this regime, multiple agents (e.g., processors or sensors) communicate their information locally with their neighbors to cooperatively optimize a global performance metric. This decentralized paradigm plays a key role in the network domains where communication with a centralized coordinator is either undesirable or impossible. This also allows for preserving the privacy of the agents. It is for these reasons that the design and performance analysis of decentralized optimization methods have attracted a growing attention in several application domains such as data science, wireless networks, and communication networks. This project is aimed at development of new models, mathematical tools, and computational algorithms to address emerging complex multi-agent systems. This complexity arises in emerging applications such as remote sensing, economic dispatch models with renewable energy, and efficiency estimation in transportation networks. This proposal has the potential to substantially reduce the gap between the theory and real-world practice of complex multi-agent networks. Moreover, collaborations with the industrial partner will facilitate effective knowledge transfer. This project is also aimed at increasing awareness and interest among high school students, educators, and college students through several fully integrated educational and outreach activities. These include enhancing professional development of teachers of Stillwater High School, engaging secondary students in after school activities, and promoting diversity through involvement of underrepresented undergraduate students in research. <br/><br/>The long-term research goal is to advance the computational models and algorithms for distributed constrained optimization in emerging complex multi-agent networks. In pursuit of this goal, the research objective of this CAREER proposal is to apply the theory of variational inequalities and regularization in the field of distributed optimization to design new algorithms with provable performance guarantees that can address multi-agent networks with complex constraints. This complexity arises in several application domains such as wireless sensor networks, transportation networks, and machine learning, where the optimization model is complicated due to the presence of: (1) uncertainty and nonlinearity in constraints; (2) an inner-level large-scale optimization problem; or (3) equilibrium constraints. The state-of-the-art approaches including weighted-averaging consensus, push-sum, and alternate direction multiplier methods work often under the premise that functional constraints are easy-to-project. These schemes rely significantly on Lagrangian duality theory and do not lend themselves to asynchronous protocols and communication delays. Accordingly, this research is expected to advance the area of distributed optimization over complex networks by: (i) Development of an enhanced mathematical modeling framework by utilizing the theory of variational inequalities; (ii) Design and analysis of new classes of iteratively regularized consensus-based algorithms with explicit performance bounds to address the proposed modeling framework; and (iii) Explore novel ways to address nonsmoothness in the proposed modeling framework. The long-term educational goal is to broaden the participation of K-12 and college students (in particular women and underrepresented minorities in STEM) in the fields of Operations Research and Applied Mathematics. In pursuit of this goal, the educational objective of this CAREER proposal is to inspire and engage young minds, formal and informal educators, and undergraduate and graduate students in understanding the role of optimization in tomorrow’s practice. This includes the following activities: (i) provide four-week professional development workshops for secondary teachers; (ii) develop an after school STEM program for Stillwater High School students; (iii) involve underrepresented undergraduate students in the PI’s research in collaboration with The Oklahoma Louis Stokes Alliance for Minority Participation; and (iv) develop an undergraduate and an advanced doctoral course.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/04/2024

04/04/2024

None

Grant

47.041

1

4900

4900

2422260

{'FirstName': 'Matthew', 'LastName': 'Hale', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew Hale', 'EmailAddress': 'matthale@gatech.edu', 'NSF_ID': '000769019', 'StartDate': '04/04/2024', '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': '303320420', 'StreetAddress': '926 DALNEY ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

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

['2020~215370', '2021~103220']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422260.xml'}

I-Corps: Translation Potential of a Bipolar Exfoliation Process for Depositing Two-Dimensional Materials on Complex Substrates

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is based on the development of an improved method for depositing materials, such as graphene, on other substrates to create advanced electronic devices. This method improves the deposition of these materials, increasing the quality and performance of the device, and is highly promising for a range of emerging device applications such as spintronics, optoelectronics, and energy storage. This advance is significant because the spintronic device market is projected to reach $10 billion by 2030, with a compound annual growth rate (CAGR) of 38%. Furthermore, complex graphene structures are needed in supercapacitors for energy storage, which is expected to grow to $912 million by 2027, with a CAGR of 14%. Overall, the broad applicability of this proprietary 3-in-1 process for depositing two-dimensional materials, such as graphene, on other substrates has the potential to significantly improve the performance of a variety of electronic devices used for data and energy storage.<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 proprietary 3-in-1 process that combines the capabilities of exfoliating, reducing, and depositing high-quality graphene through a bipolar electrochemistry (BPE) approach. The transfer of graphene on different substrates is one of the key challenges for graphene-based devices, where the resulting quality of graphene can greatly impact device performance. The constraints include controllable and reproducible deposition and reliable deposition that prevents graphene aggregation. To address these challenges, this innovative process utilizes an electrochemical cell featuring two graphite electrodes that regulate the current flowing through the bipolar electrode. By applying a direct current (DC) voltage across the feeding electrodes, the process facilitates in-situ exfoliation, reduction, and deposition, all within a single step. This solution addresses the constraints associated with the uniform application of graphene onto complex substrates, while preserving the substrate’s inherent 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.

05/06/2024

05/06/2024

None

Grant

47.084

1

4900

4900

2422269

[{'FirstName': 'Andriy', 'LastName': 'Durygin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andriy Durygin', 'EmailAddress': 'durygina@fiu.edu', 'NSF_ID': '000576925', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Vadym', 'LastName': 'Drozd', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Vadym Drozd', 'EmailAddress': 'drozdv@fiu.edu', 'NSF_ID': '000752372', 'StartDate': '05/06/2024', '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': '2422269.xml'}

CAREER: Geometric and Electronic Contributions to Bio-inspired Reactivities of Heme-superoxide Intermediates

NSF

04/01/2024

05/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Christine Chow', 'PO_EMAI': 'cchow@nsf.gov', 'PO_PHON': '7032924555'}

With support from the Chemistry of Life Processes Program in the Division of Chemistry and the Established Program to Stimulate Competitive Research (EPSCoR) Dr. Gayan B. Wijeratne at the University of Alabama at Birmingham will investigate the chemistry of small molecules with heme iron centers such as the ones that activate oxygen in human biology. These model systems can be extremely versatile, yet straightforward probes for comprehending the complicated mechanistic details that govern oxygen mediated reactivities in biology. Dr. Wijeratne and his team will utilize these powerful tools in shedding light on yet unknown knowledge that can lead to pathways for efficient syntheses of complex molecules, and the discovery of catalysts that can enhance the efficiency of catalysts of oxygen reduction benefiting alternative energy applications. This work will involve bio-inspired design and synthesis of fresh model systems that combine organic and inorganic synthetic toolkits, and analyses of reactivities that draw parallels to biological functionalities. As well, a broad variety of cryogenic spectroscopic tools will be employed, offering a uniquely specialized skillset to contributing high-school, undergraduate, graduate, and postdoctoral researchers. Outreach and educational aspects of this project will involve the orientation of Birmingham City high school students toward Regional Science Fair via a newly designed Science Club program. Proposed efforts will strive to bridge the gap of scientific literacy of youngsters in the City of Birmingham, which is one of the most income-segregated school districts in the country. <br/><br/>Heme-containing dioxygenases play pivotal roles in human physiology, disease progression, and aging, consequently attracting substantial research interests within the past decade. However, exact mechanistic details concerning these are only faintly understood. Heme superoxide adducts are presumed to be active oxidants in heme dioxygenases, however, details pertaining to their definitive involvement in the actual enzymatic mechanism remain elusive. Synthetic model systems have long-served as powerful tools in addressing such mechanistic ambiguities, but synthetic heme superoxide adducts are often found to be sluggish oxidants. This anomaly calls for revaluation of explicit modeling of synthetic systems with direct relevance to their biological mode of action. Comprehension of mechanistic details of such model systems can also be of direct benefit for the design of superior synthetic methodologies targeting important complex organic molecules and homogeneous dioxygen reduction catalysts to be used in alternative energy applications. Proposed research will address this gap in knowledge by generating a library of synthetic heme superoxide model systems with divergent structural properties, and thorough investigation into how such structural modulations would influence their reactivity signatures. This work will vertically advance the fundamental understanding of reactivity-governing geometric, electronic, and non-covalent structural properties of mid-valent heme-oxygen intermediates, introducing a new era of heme-oxygen model chemistry. Outreach activities of this project will directly benefit the majority of underrepresented high schoolers in the Birmingham, Alabama area through cutting-edge research opportunities and high-quality one-on-one mentoring opportunities geared toward strengthening their preparatory phase for Regional Science Fair.<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.

03/21/2024

03/21/2024

None

Grant

47.049, 47.083

1

4900

4900

2422277

{'FirstName': 'Gayan', 'LastName': 'Wijeratne', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gayan B Wijeratne', 'EmailAddress': 'gwijeratne@ua.edu', 'NSF_ID': '000826555', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Alabama Tuscaloosa', 'CityName': 'TUSCALOOSA', 'StateCode': 'AL', 'ZipCode': '354012029', 'StreetAddress': '801 UNIVERSITY BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AL07'}

[{'Code': '688300', 'Text': 'Chemistry of Life Processes'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

['2021~139395', '2022~284000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422277.xml'}

CAREER: New methods in curve counting

NSF

03/01/2024

06/30/2028

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'James Matthew Douglass', 'PO_EMAI': 'mdouglas@nsf.gov', 'PO_PHON': '7032922467'}

The past thirty years have seen a deep and surprising interplay between several branches in pure mathematics, and string theory in physics. In particular, physical predictions have led to the development of mathematical invariants which count algebraic curves in spaces, and conversely, the mathematical study of these invariants has led to advances in string theory. This project further develops two curve counting techniques, the "logarithmic gauged linear sigma model" (log GLSM) and "quasimaps", and their combination, with the goal of making progress on challenging conjectures from physics, which have appeared out of reach of mathematicians until recently. This project will offer ample training opportunities for graduate students and postdocs. In addition, the PI will organize a yearly intensive weekend learning workshop on a topic of interest, as well as organize events aiming to counter stereotypes in STEM.<br/><br/>More specifically, the project will result in a proof of the localization formula for log GLSM, which is of utmost importance for the application of this technique. In addition, effective invariants, which are a major ingredient of the localization formula, will be studied. In a different direction, the PI will explore applications of log GLSM to the tautological ring, to establish structural predictions observed in physics, such as the "conifold gap condition", for the quintic threefold and other one-parameter Calabi-Yau threefolds, and to establish the Landau-Ginzburg/Calabi-Yau correspondence for quintic threefolds in all genera. With regard to quasi-maps, the second main technique employed in this project, the PI will use quasi-maps for explicit computations of Gromov-Witten invariants of non-convex complete intersections. Quasi-maps appear necessary for approaching some of the more mysterious predictions from physics, and hence log GLSM will be extended to allow for quasi-maps.<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.

02/23/2024

02/23/2024

None

Grant

47.049

1

4900

4900

2422291

{'FirstName': 'Felix', 'LastName': 'Janda', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Felix Janda', 'EmailAddress': 'fjanda@illinois.edu', 'NSF_ID': '000744061', 'StartDate': '02/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'ZipCode': '618013620', 'PhoneNumber': '2173332187', 'StreetAddress': '506 S WRIGHT ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': 'Y8CWNJRCNN91', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'StateCode': 'IL', 'ZipCode': '618013620', 'StreetAddress': '506 S WRIGHT ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}

{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}

2023~144329

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422291.xml'}

Collaborative Research: IMPLEMENTATION: C-COAST: Changing the Culture of our Occupations to Achieve Systemic Transformation

NSF

02/01/2024

04/30/2027

{'Value': 'Standard Grant'}

{'Code': '08080000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'DBI', 'LongName': 'Div Of Biological Infrastructure'}}

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

Coastal counties are more diverse than non-coastal counties; however, the culture and identities of those who study and manage estuaries and coasts do not reflect these communities. This mismatch diminishes the quality of science and management provided; many coastal professionals lack the lived experiences and knowledge to prioritize issues most impactful to people in coastal areas. Despite widespread recognition that increasing the participation of groups underrepresented in science, technology, engineering, and mathematics (STEM) is essential to sustaining the nation's capacity for innovation and discovery, there is a widening gap between the total number of marine science graduate degrees granted and degrees granted to those underrepresented in the field. Professional societies play a unique role in facilitating culture change within STEM disciplines by establishing and reinforcing norms and practices that advance greater diversity, equity, inclusion, justice, and accessibility (DEIJA). They are also important avenues for training students and professionals in relevant skills and in developing networks necessary to progress in their careers. Culture change in professional societies scales up to impacts on members, their home institutions, and beyond. The Coastal and Estuarine Research Federation (CERF) will assist the next generation of coastal and estuarine biologists and related disciplines in navigating the current culture while simultaneously dismantling inequities at the root of low DEIJA in the disciplines through the Changing the Culture of our Occupations to Achieve Systemic Transformation (C-COAST) program, which will provide professional development, mentoring, and networking to students and professionals at all career stages.<br/><br/>The C-COAST program will harness evidence-based strategies to mitigate inequities and shift culture in the coastal and estuarine sciences through two programs: Rising TIDES Conference Program (RTCP) and Leadership Development Program (LDP). The RTCP is geared towards recruiting and retaining a new generation of estuarine and coastal science professionals. It consists of a 16-month program that supports attendance at the CERF and two additional coastal and estuarine conferences, with virtual meetings in between. The program provides professional and near-peer mentors, training, and networking, in addition to the full suite of scientific conference offerings. The LDP will provide leadership and DEIJA training for current and future leaders by building a dynamic learning community that will prepare emerging leaders to become agents of change while helping current leaders use existing power to address systemic inequities. The goals of C-COAST, from short- to long-term, are to 1): recruit and retain diverse undergraduate and graduate students and provide them professional development, mentorship, and peer networks to support a sense of belonging and identity; 2) educate current leaders on how to be more inclusive and change policies and practices that lead to inequities; and 3) increase the leadership skills of and opportunities for future leaders and prepare them to make policies and practices of CERF and their home institutions more inclusive when they are elevated to positions of power.<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.

03/05/2024

03/05/2024

None

Grant

47.074

1

4900

4900

2422305

{'FirstName': 'Kristy', 'LastName': 'Lewis', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kristy Lewis', 'EmailAddress': 'kristy.lewis@uri.edu', 'NSF_ID': '000796727', 'StartDate': '03/05/2024', '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': '209Y00', 'Text': 'LEAPS-Leading Cultural Change'}

2023~106151

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422305.xml'}

Postdoctoral Fellowship: CREST-PRP: Neural Correlates of the Developmental Trajectories of Internalizing and Externalizing Behaviors in Adolescents

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Regina Sievert', 'PO_EMAI': 'rsievert@nsf.gov', 'PO_PHON': '7032922808'}

Adolescence is an important period of time when the combined effects of genetics and environment can lead to adult mental illness. Some of these early signs can be anxiety, depression, impulsivity, or aggression. These behaviors, or some combination of them, are thought to be related to a person’s genes. Children who experience poverty, abuse, or neglect during childhood can also have these same behaviors. Teenagers with these behaviors have also been shown to have differences in their brains which can be seen in imaging studies. Using data previously collected, this study seeks to understand how the development of these behaviors might be influenced by the effects of genetics and environment. The study will also examine brain images from these children in an effort to understand how brain development might also be changed under those conditions. By advancing knowledge about how genetics and environment work together to influence behaviors could help with identifying at-risk individuals earlier. Knowing what is changing in the brain may also guide treatment, leading to fewer problems later in life.<br/><br/>The interplay of genetics and environment influences in childhood can lead to manifestations of known precursors to adult mental illness. These precursors, identified as internalizing and externalizing behaviors, are known to share common genetic vulnerability, be associated with the severity and chronicity of adverse childhood experiences (ACEs), and impact brain development. Currently, understanding is limited about the combined effect of ACEs and genetic vulnerability on the longitudinal development of internalizing and externalizing behaviors during adolescence. There is also limited knowledge into how this combined effect may modify brain development. Using data collected from approximately 10,000 subjects annually over five years starting at age nine from the Adolescent Brain and Cognitive Development (ABCD) cohort, this study will use a parallel process latent class growth analysis (LCGA) to understand the developmental trajectories of internalizing and externalizing behaviors under the combined influence of polygenetic risk scores (PRS) and ACEs. Those trajectories will then be used to inform a multimodal neuroimaging analysis to extract neural features specific to these particular developmental trajectories, highlighting the differences in brain development associated with internalizing and externalizing behaviors as influenced by PRS and ACEs. Gaining deeper insight into how genetics and environment interact to give rise to these internalizing-externalizing behaviors, as well as how these are changing neural development during adolescence, could assist early identification of individuals at high risk of later mental illness, allowing earlier and more targeted interventions. These in turn could greatly reduce social/economic dysfunction experienced in adulthood and mitigate the expense of treatment later.<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.

05/09/2024

05/09/2024

None

Grant

47.076

1

4900

4900

2422319

{'FirstName': 'Dawn', 'LastName': 'Jensen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dawn Jensen', 'EmailAddress': 'djensen2@student.gsu.edu', 'NSF_ID': '000837056', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Georgia State University Research Foundation, Inc.', 'CityName': 'ATLANTA', 'ZipCode': '303032921', 'PhoneNumber': '4044133570', 'StreetAddress': '58 EDGEWOOD AVE NE', 'StreetAddress2': 'FL 3', 'CountryName': 'United States', 'StateName': 'Georgia', 'StateCode': 'GA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'GA05', 'ORG_UEI_NUM': 'MNS7B9CVKDN7', 'ORG_LGL_BUS_NAME': 'GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'CREST DMAP, TReNDS Center, Georgia State University', 'CityName': 'Atlanta', 'StateCode': 'GA', 'ZipCode': '303030001', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '913100', 'Text': 'Centers for Rsch Excell in S&T'}

2024~341640

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422319.xml'}

CAREER: Understanding Strategic Dynamics in the Engineering of Decentralized Systems

NSF

10/01/2023

09/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Kathryn Jablokow', 'PO_EMAI': 'kjabloko@nsf.gov', 'PO_PHON': '7032927933'}

This Faculty Early Career Development Program (CAREER) grant will diagnose and provide understanding of strategic dynamics among a set of interactive and autonomous design actors through the combined use of game theory and simulations to inform architecture and design decisions. Design activities for engineering systems across infrastructure, aerospace, and defense domains more closely resemble a collective decision-making process than centralized authority in traditional systems engineering practice. This topic is of interest because U.S. agencies and firms are actively architecting systems with decentralized decision authority, described variously as Internet 4.0, cyber-physical systems, Internet-of-things, or systems-of-systems across domains, including energy, transportation, manufacturing, and space systems. The design of these engineering systems differs from that of other systems because their large scale, long lifetime, and proximity to social systems evoke complex features such as adaptation, self-organization, and emergence, which take place over strategic timescales. A deeper understanding of how strategic dynamics impact designer interactions across theoretical and empirical perspectives can help to avoid costly overruns and cancellations by identifying and mitigating undesirable dynamics in conceptual design phases. Advances in systems engineering must develop theory, methods, and tools to coordinate and facilitate collective design activities. &lt;br/&gt;&lt;br/&gt;This project builds on a line of economic methods applied to engineering design including utility theory, decision theory, social choice, and game theory. Collective systems design is modeled as a bi-level problem, where lower-level decisions correspond to an optimization problem and upper-level strategy decisions correspond to a coordination game. Normative models of agent behavior are based on classical and Bayesian game theory with utility functions incorporating behavioral factors such as risk attitudes. Multi-agent simulation studies evolution of strategies under repeated interaction among agents. Behavioral experiments collect empirical data about human decision-making for validation. The research will contribute new knowledge about how to characterize, study, and modify the strategic dynamics of engineering systems during conceptual design phases. The educational plan develops and delivers simulation activities to model systems problems by combining technical modeling and social interaction. The simulation activities behave as a highly abstracted model system to elicit rich strategic behaviors through face-to-face interaction, engage students with challenges of socio-technical problems, and retain computational tractability to teach analytical methods in educational contexts. Development and broad public dissemination of simulations in the context of Earth science space missions will expose a wide audience to strategic issues of government-commercial interdependency in space systems.&lt;br/&gt;&lt;br/&gt;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.

03/19/2024

03/19/2024

None

Grant

47.041

1

4900

4900

2422337

{'FirstName': 'Paul', 'LastName': 'Grogan', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Paul T Grogan', 'EmailAddress': 'pgrogan@stevens.edu', 'NSF_ID': '000705168', 'StartDate': '03/19/2024', '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': '072Y', 'Text': 'EDSE-Engineering Design and Sy'}, {'Code': '1045', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}]

2020~258604

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422337.xml'}

CAREER: The Nature of Average-Case Computation

NSF

04/01/2024

01/31/2026

{'Value': 'Continuing Grant'}

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

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

The recent surge in the applications of machine learning is powered by algorithms that learn hidden patterns in large volumes of data. Designing faster and more reliable data analysis algorithms is a key challenge in broadening the scope of such applications. However, researchers have realized that the classical framework of algorithm design is inadequate for this task. This is because large data in almost every application is modeled using statistical models as opposed to the standard worst-case model used in algorithm design. Consequently, central challenges that involve an interplay between algorithms and statistically generated data remain widely unresolved not just in machine learning but also in statistical physics and cryptography. This project will address this critical deficiency by building a principled theory of algorithm design for statistical (aka average-case) data. The new paradigms explored in this work will unify the currently fragmented set of approaches for studying average-case computation. The curriculum development plan outlined in this project will train the next generation of scientists in the algorithmic methods tailor-made for problems in large scale statistical data analysis and disseminate the modern paradigms for understanding computation to both graduate and undergraduate students.&lt;br/&gt;&lt;br/&gt;Average-case complexity is a central thrust in the theory of computation with a direct impact on potential technological advances in machine learning and cryptography as well as basic questions in statistical physics. Examples include training expressive statistical models such as Gaussian mixture models and Sparse PCA to find patterns in large data in machine learning, ascertaining the security of pseudo-random generators in cryptography, and finding the lowest-energy states of spin-glass systems in statistical physics. Our current understanding of such problems is based on fragmented, domain-specific algorithmic schemes such as statistical query methods and method of moments (in machine learning), belief propagation (in statistical physics), and semidefinite programming hierarchies (in computational complexity). This project is devoted to building a unified theory of average-case computation that offers new tools to design better algorithms, prove sharp lower-bounds, and allow rigorously transferring insights between different specific frameworks. This investigation will build new bridges between theoretical computer science and several adjacent areas including machine learning, statistical physics, algebraic geometry, and probability. In addition, it will further develop the burgeoning understanding of the sum-of-squares semidefinite programming hierarchy, mixture models, and use of solution-space geometry in solving random constraint satisfaction problems.&lt;br/&gt;&lt;br/&gt;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.

03/28/2024

03/28/2024

None

Grant

47.070

1

4900

4900

2422342

{'FirstName': 'Pravesh', 'LastName': 'Kothari', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pravesh K Kothari', 'EmailAddress': 'praveshk@cs.cmu.edu', 'NSF_ID': '000728432', 'StartDate': '03/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'ZipCode': '085442001', 'PhoneNumber': '6092583090', 'StreetAddress': '1 NASSAU HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'NJ1YPQXQG7U5', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF PRINCETON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Princeton University', 'CityName': 'PRINCETON', 'StateCode': 'NJ', 'ZipCode': '085442001', 'StreetAddress': '1 NASSAU HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NJ12'}

{'Code': '7796', 'Text': 'Algorithmic Foundations'}

2023~87052

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422342.xml'}

Historical Simulations of Greenland Ice-sheet Dynamics: The Imprint of Early Ice Loss on Recent and Future Change

NSF

12/15/2023

07/31/2026

{'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'}

Ice loss from the Greenland Ice Sheet contributes to sea level rise and is projected to continue over the next century. Projections of future ice loss rely on models that simulate the dynamic response of the ice sheet to climate changes. A key challenge is calibrating models based on observations made in the last few decades, in part because ice dynamics adjust to climate changes over long timescales. Past climate therefore affects the modern state. This project will use a numerical ice-sheet model and long-term climate data to simulate Greenland ice-sheet changes since 1850, with a specific focus on the ice-sheet’s dynamic “memory” of climate over the past century. Ice loss concurrent with rapid warming is well documented in recent decades, but a period of rapid Arctic warming also occurred in the 1920s-1930s. Historical observations, where available, suggest that this triggered the retreat of many glaciers on the Greenland Ice Sheet, but their ongoing adjustment has not been thoroughly investigated. With simulations that fully encompass this period of early climate forcing, this project will provide further context for recent observations, and will provide insights that will aid in calibrating models for future projections. This project will also train two undergraduate students.&lt;br/&gt;&lt;br/&gt;The model simulations will encompass both the Greenland Ice Sheet as a whole, as well as case studies on several of its major outlet glaciers. Simulations will be forced with climate reanalysis products that extend over the industrial era, enabling a realistic treatment of short-term variability, including the rapid warming of the 1920s-1930s. The primary intended deliverable will be historical simulations that capture the major phases of mass loss suggested by long-term observations. Model output will be made publicly available to aid broader efforts to initialize simulations of future mass loss of the Greenland Ice Sheet. An additional deliverable will be a set of perturbed simulations designed to clarify leading physical controls on the glacier and ice-sheet evolution over this era. This will include assessing the relative impacts of climate variability and topographic boundary conditions, and the dynamic response that was committed by early-twentieth-century climate forcing. Together, the proposed model simulations will test theory and quantify the effects of early forcing, drawing new links between sparse glacier and climate observations from the pre-satellite era.&lt;br/&gt;&lt;br/&gt;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.

03/28/2024

03/28/2024

None

Grant

47.078

1

4900

4900

2422350

{'FirstName': 'John Erich', 'LastName': 'Christian', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John Erich Christian', 'EmailAddress': 'jchr@uoregon.edu', 'NSF_ID': '000922359', 'StartDate': '03/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Oregon Eugene', 'CityName': 'EUGENE', 'ZipCode': '974031905', 'PhoneNumber': '5413465131', 'StreetAddress': '1776 E 13TH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OR04', 'ORG_UEI_NUM': 'Z3FGN9MF92U2', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF OREGON', 'ORG_PRNT_UEI_NUM': 'Z3FGN9MF92U2'}

{'Name': 'University of Oregon Eugene', 'CityName': 'EUGENE', 'StateCode': 'OR', 'ZipCode': '974031657', 'StreetAddress': '1585 E 13TH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OR04'}

{'Code': '5280', 'Text': 'ANS-Arctic Natural Sciences'}

2023~361775

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422350.xml'}

Conference: 2024 Salt and Water Stress in Plants GRC and GRS: Abiotic Stress Research for Impact

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Gerald Schoenknecht', 'PO_EMAI': 'gschoenk@nsf.gov', 'PO_PHON': '7032925076'}

One of the central challenges to human society is the development of a more sustainable society. Agriculture is the largest consumer of land and water and a major cause of environmental degradation, above and beyond urban or industrial use. A fundamental goal of plant science is to support fundamental research to understand, predict, and manipulate plants for beneficial purposes. A crucial component of this mission is understanding plant growth and performance under stressful abiotic environments, a key limiter of plant productivity worldwide. Achieving the goal of more sustainable agriculture will require interdisciplinary teams including molecular biologists, physiologists, agronomists, and plant breeders working in collaboration. The goal of the Gordon Research Conference on Salt and Water Stress in Plants is to foster sharing of the latest research in these areas to drive progress in our basic understanding of plants, and improve sustainable agriculture by engaging both academic and industry scientists. <br/><br/>The 2024 Gordon Research Conference (GRC) on Salt and Water Stress in Plants will bring together researchers studying the mechanistic basis of stress tolerance in plants at different scales of organization and acknowledges the integrative nature of plant-environmental interactions that span molecular, cellular, developmental, ecological and global scales. The meeting will focus on cutting edge science centered on five major themes including 1) genomics and stress signaling, 2) whole organism physiological responses to stress, 3), interactions of salt/water stress with climate change, 4) the adaptive evolution of stress tolerance, and 5) strategies to leverage fundamental research for applied crop improvement. Presentations will highlight the power of model systems, tackle evolutionary questions spanning species boundaries, and examine the nexus between basic and applied research using globally relevant crops. The bulk of the GRC will comprise 20-minute presentations of unpublished research and 10-minute discussion periods. Although the core of the program is established, nearly half of the talks will be selected from submitted abstracts and provide opportunities for younger trainees. The program includes poster sessions and free time to enhance idea exchange and networking. The GRS pre-meeting is organized by trainees and focused on multi-disciplinary research topics that explore plant diversity, genomics, integrative physiology and field-relevant research. The conference will support broader participation through targeted travel awards to graduate students and postdoctoral fellows interested in pursuing plant research.<br/><br/>This award is co-funded by the Plant Genome Research Program and the Physiological Mechanisms and Biomechanics Program in the Division of Integrative Organismal 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.

03/13/2024

03/13/2024

None

Grant

47.074

1

4900

4900

2422376

{'FirstName': 'Thomas', 'LastName': 'Juenger', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thomas E Juenger', 'EmailAddress': 'tjuenger@austin.utexas.edu', 'NSF_ID': '000313695', 'StartDate': '03/13/2024', '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': '132900', 'Text': 'Plant Genome Research Project'}, {'Code': '765800', 'Text': 'Physiol Mechs & Biomechanics'}]

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422376.xml'}

Conference: 2024 Plant Molecular Biology Gordon Research Conference and Seminar

NSF

03/15/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Stephen DiFazio', 'PO_EMAI': 'sdifazio@nsf.gov', 'PO_PHON': '7032924517'}

Biological systems are rife with communication from micro (cell-to-cell) to macro scales (inter- organismal), and information can be transmitted through diverse mechanisms (e.g., kinase cascades, hormones, electrical potentials). Signaling systems are not always simple linear flows of information. Some signals are recognized by multiple receivers, and multiple signals might converge to activate a response. Understanding signals, their sources and receivers, and downstream consequences of a signal are at the heart of molecular biology, including molecular plant science. The 2024 Gordon Research Conference on Plant Molecular Biology and associated Gordon Research Seminar will assemble a diverse group of researchers to present and discuss the latest research in plant molecular biology through the lens of information is transmission. In addition to presentations from international experts, the conference will include short talks selected to highlight late-breaking research and poster presentations for early career researchers. Students and postdocs are also encouraged to attend the associated Gordon Research Seminar, an opportunity to present their research among their peers.&lt;br/&gt;&lt;br/&gt;The conference program is organized around different scales of communication, including molecular signaling, cellular and intercellular communication, long-distance signaling, and inter-organismal interactions. In addition to exploring specific scientific questions, the conference will highlight important concepts in communication, including spatial and temporal regulation, branching versus converging pathways (one-to-many versus many-to-one), and signal fidelity. Improving communication between scientists of different career stages, nationalities, and cultural backgrounds is also an important goal of the meeting.&lt;br/&gt;&lt;br/&gt;This conference will be co-funded by the Plant Biotic Interactions Program and the Plant Genome Research Program in the Division of Integrative Organismal Systems.&lt;br/&gt;&lt;br/&gt;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.

03/19/2024

03/19/2024

None

Grant

47.074

1

4900

4900

2422380

[{'FirstName': 'Rebecca', 'LastName': 'Mosher', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca A Mosher', 'EmailAddress': 'mosher.lab@gmail.com', 'NSF_ID': '000465621', 'StartDate': '03/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Maria', 'LastName': 'Harrison', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maria J Harrison', 'EmailAddress': 'mjh78@cornell.edu', 'NSF_ID': '000365265', 'StartDate': '03/19/2024', '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': '047Y', 'Text': 'Plant-Biotic Interactions'}, {'Code': '1112', 'Text': 'Genetic Mechanisms'}, {'Code': '1329', 'Text': 'Plant Genome Research Project'}]

2024~23925

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422380.xml'}

Conference: Materials Genome Initiative (MGI) Biennial Principal Investigator Workshop; Washington, DC; July 30-31, 2024

NSF

04/15/2024

11/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John Schlueter', 'PO_EMAI': 'jschluet@nsf.gov', 'PO_PHON': '7032927766'}

This award funds a workshop to bring together Materials Genome Initiative (MGI) grantees and program managers from the National Science Foundation (NSF), the Department of Energy (DoE), the Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), the US Army Combat Capabilities Development Command (DEVCOM), and the National Institute of Standards and Technology (NIST), and various other federal agencies with a stake in the MGI. The MGI was launched in 2011 to accelerate the discovery, design, development, and deployment of new materials, at a fraction of the cost, by harnessing the power of data and computational tools in concert with experiment. As NSF's response to the MGI, the Designing Materials to Revolutionize and Engineer our Future (DMREF) program seeks to foster collaborations between materials researchers with expertise in synthesis, experiment, theory, computation, and data science on highly iterative feedback loops in which experimental results directly inform theory and computation, and vice versa. This workshop brings together DMREF awardees with those supported by other federal agencies in order to discuss their challenges and successes; provide an assessment of the current status of the Initiative; and be a springboard to collaborative work leveraging rapid growth in data, data-driven AI/ML, and community-wide infrastructure development. <br/><br/>A primary goal of this workshop is to assess the current status and opportunities for MGI across participating agencies. The following aims are pursued: 1) Accelerate materials research through data-driven approaches including artificial intelligence, machine learning, and natural language processing, 2) Transition fundamental research along the Materials Development Continuum, 3) Address educational and diversity issues, and 4) Promote collaboration among MGI PIs. The workshop will consist of overview talks of MGI-related activities at various federal agencies, technical presentations by the attendees, poster sessions, and breakout sessions on overarching topics. The overarching themes will be presented in a report for dissemination to the broader materials research community and the public. The program includes workgroups focused on workforce development where students and postdoctoral scholars are encouraged to attend and participate. Results from the workshop will be made available to the broader materials community and the public in the form of an electronic (PDF) Conference Proceeding booklet that will include abstracts from the posters and presentations. The workshop, which will be held in downtown Washington DC on July 30-31, 2024, follows a series of successful workshops, the latest being held in June 2022.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/03/2024

04/03/2024

None

Grant

47.041, 47.049, 47.070

1

4900

4900

2422384

[{'FirstName': 'Thao', 'LastName': 'Nguyen', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Thao D Nguyen', 'EmailAddress': 'vicky.nguyen@jhu.edu', 'NSF_ID': '000468724', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'David', 'LastName': 'Elbert', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David Elbert', 'EmailAddress': 'elbert@jhu.edu', 'NSF_ID': '000786902', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

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

[{'Code': '736400', 'Text': 'Info Integration & Informatics'}, {'Code': '829200', 'Text': 'DMREF'}]

2024~150000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422384.xml'}

I-Corps: Translation Potential of Synthetic Data Generation with Nullspace Sampling for Tabular and Timeseries Data

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is based on the development of software to generate synthetic data for use in the healthcare, consulting, and insurance industries. Synthetic data is artificially generated data that is statistically similar to real-world datasets used by businesses. Synthetic data can be used for analytics and machine learning when access to real data is limited and may have uses in augmenting minority representation in real-world datasets thereby aiding in more equitable outcomes. Overall, the broad applicability of synthetic datasets has the potential to drive innovation in healthcare and other industries by allowing businesses to share synthetic versions of proprietary data with strategic partners, such as data analytics companies, and remain in full compliance with data privacy laws. This ability can lead to an increase in data-driven decision-making in the private sector and effective policy formulation in the public sector. For instance, applications of synthetic medical data may help healthcare researchers and administrators to better model patient activity, including representative data of understudied populations, and ultimately improve human health.<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 prior development of a non-deep learning technique to generate synthetic datasets using features of real data. Synthetic data is artificially generated data that is statistically similar to real datasets and can be used for analytics and machine learning when access to real data is limited. This innovative solution allows significantly faster generation of tabular and timeseries synthetic data without the need for training or optimization processes, while internally using linear algebra-based techniques. Although this solution was initially created to generate synthetic timeseries data, it can be modified to generate synthetic tabular data. This solution is completely non-parametric and does not involve the additional steps associated with training and optimization, making it 300x faster than state-of-the-art deep learning generation methods for tabular data. Thus, this approach can generate richly structured datasets using significantly less computing time relative to deep-learning methods.<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

47.084

1

4900

4900

2422393

{'FirstName': 'Mikail', 'LastName': 'Rubinov', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mikail Rubinov', 'EmailAddress': 'mika.rubinov@vanderbilt.edu', 'NSF_ID': '000793526', 'StartDate': '05/06/2024', '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': '2422393.xml'}

Collaborative Research: U.S. institutions after COVID-19: Trust, accountability, and public perceptions

NSF

01/01/2024

11/30/2024

{'Value': 'Standard Grant'}

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

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

COVID-19 upended social, economic, and political systems throughout the world. The United States has faced particular challenges due to its heterogeneity and federal nature. The COVID States project is a large-scale data collection that includes over-time data from diverse state-level samples. The project tracks state-level post-pandemic recovery, studying topics such as trust in institutions, information acquisition and impact, accountability, and economic inequality. It also documents how federal and state policies affect the populace when it comes to these topics. Further, the COVID States project provides access to researchers from all backgrounds, types of academic institutions, and career stages through a competition for survey module time and provides a user-friendly website with data trackers for use by researchers, students, journalists, policymakers, and the public.&lt;br/&gt;&lt;br/&gt;The COVID States project conducts over-time state-level surveys from all 50 states and D.C. Each survey includes up to 30,000 total respondents, using quota sampling by state. This allows for generalizable inferences at the state and national levels. Post-pandemic data provide an unprecedented opportunity for novel over-time and across-space research designs. The project over-samples demographic minority respondents to facilitate study of heterogeneous social groups. This includes data on trust in political figures and institutions, knowledge and information, political evaluations, behavioral adaptation, physical health, economic well-being, mental health, and more. It also contains detailed social network batteries that allow for the study of inter-household and inter-group transmission of health and information. This is complemented by Twitter data from survey respondents who allow it. This enables the project to identify information sharing and study political discourse.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/01/2024

04/01/2024

None

Grant

47.075

1

4900

4900

2422394

{'FirstName': 'James', 'LastName': 'Druckman', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James N Druckman', 'EmailAddress': 'jdruckma@UR.Rochester.edu', 'NSF_ID': '000110424', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Rochester', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146270146', 'StreetAddress': '333 Harkness Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

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

2022~37717

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422394.xml'}

Conference on text production and comprehension by human and artificial intelligence

NSF

04/15/2024

03/31/2025

{'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': 'Soo-Siang Lim', 'PO_EMAI': 'slim@nsf.gov', 'PO_PHON': '7032927878'}

The ability to read and write effectively is crucial for learning, communication, and creating knowledge across all fields. However, there is still much to understand about how people cognitively process written language and how emerging artificial intelligence technologies could interact with these human capabilities. This workshop brings together experts from cognitive psychology, language learning, and natural language processing with artificial intelligence. By combining insights across these disciplines, the workshop aims to unlock new understanding about how people produce and mentally represent written language knowledge, as well as how large language models could potentially enhance reading and writing abilities. This cross-disciplinary collaboration could lead to more effective education approaches, innovative learning technologies, and guidelines for ethically integrating artificial intelligence with human skills involving written text.<br/><br/>The workshop convenes a group of experts who share their latest research on how humans and artificial intelligence systems comprehend and generate written language. Participants discuss their findings, identifying key challenges, exploring possible solutions, and map future research directions. Through dialogue between the cognitive, linguistic, and technological perspectives, researchers examine the underlying cognitive processes when humans and artificial intelligence collaborate on text-based tasks. They investigate the potential for artificial intelligence language models to support the development of reading and writing skills and personalized learning experiences. In-depth break-out sessions and full-group discussions foster cross-disciplinary teamwork. This project allows participants to further understand the interaction between human cognition and artificial intelligence when engaging with written texts across educational and professional 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.

04/15/2024

04/15/2024

None

Grant

47.070, 47.075

1

4900

4900

2422404

[{'FirstName': 'Evgeny', 'LastName': 'Chukharev', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Evgeny Chukharev', 'EmailAddress': 'evgeny@iastate.edu', 'NSF_ID': '000687921', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Emily', 'LastName': 'Dux Speltz', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emily N Dux Speltz', 'EmailAddress': 'endux@iastate.edu', 'NSF_ID': '000940835', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Iowa State University', 'CityName': 'AMES', 'ZipCode': '500112103', 'PhoneNumber': '5152945225', 'StreetAddress': '1350 BEARDSHEAR HALL', 'StreetAddress2': '515 MORRILL ROAD', 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IA04', 'ORG_UEI_NUM': 'DQDBM7FGJPC5', 'ORG_LGL_BUS_NAME': 'IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY', 'ORG_PRNT_UEI_NUM': 'DQDBM7FGJPC5'}

{'Name': 'Iowa State University', 'CityName': 'AMES', 'StateCode': 'IA', 'ZipCode': '500112103', 'StreetAddress': '1350 BEARDSHEAR HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Iowa', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IA04'}

[{'Code': '127Y00', 'Text': 'Sci of Lrng & Augmented Intel'}, {'Code': '131100', 'Text': 'Linguistics'}, {'Code': '749500', 'Text': 'Robust Intelligence'}]

2024~49999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422404.xml'}

Conference: Society Prioritizes Our Recruitment of Every Scholar (SPORES): A mentoring program with the goal of diversifying, advancing, and promoting future mycologists.

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Aardra Kachroo', 'PO_EMAI': 'akachroo@nsf.gov', 'PO_PHON': '7032927826'}

The Society Prioritizes Our Recruitment of Every Scholar (SPORES) workshop, hosted by the Mycological Society of America (MSA), is dedicated to diversifying the field of mycology and advancing future mycologists. Mycology, the study of fungi, is crucial for understanding the biology of these organisms with complex interactions within ecosystems, including nutrient cycling and symbiotic relationships with plants. Fungi also play a vital role in medicine, agriculture, and biotechnology, with applications ranging from antibiotic production to bioremediation. Diversity in scientific communities is essential for fostering innovation and creativity in STEM fields. Despite previous efforts by MSA, there is still a significant gap in representation, particularly among underrepresented groups. In 2024, SPORES will expand its program at the MSA Annual Meeting, offering a platform for underrepresented undergraduate students to support their career growth by meaningfully introducing them to the scientific community. Through welcoming students, providing spaces for interaction and questions with experienced mentors, engaging in direct mentoring, and creating a community of budding scientists, SPORES will empower underrepresented undergraduate students attending the MSA conference for the first time. By promoting diversity and inclusion in mycology, SPORES is shaping the future of the field and ensuring that all voices are heard in the exploration and research of the mycological world.<br/><br/>The SPORES Program at the Mycological Society of America (MSA) 2024 Annual Meeting aims to diversify mycology by recruiting and supporting early-career students from underrepresented groups. This program provides financial support and mentorship for underrepresented undergraduate students attending the conference for the first time. We plan to recruit, fund, and mentor 20 mentees, pairing them with active MSA members who will guide them before and during the meeting. The workshop will integrate research and education by offering unique educational opportunities, mentorship, networking, and exposure to cutting-edge research. SPORES seeks to create a welcoming environment for underrepresented students, fostering diversity and inclusion in mycology while providing networking opportunities and facilitating collaborations. The long-term goal is to support underrepresented students in mycology and contribute to a more diverse and equitable scientific community. The SPORES workshop will include a series of sessions and activities designed to enhance the educational experience of the participants. Mentees will have the opportunity to attend specialized workshops on topics such as experimental design, data analysis, and scientific communication, providing them with essential skills for their academic and professional development. The workshop will also feature keynote speakers who are experts in various fields of mycology, providing mentees with insights into cutting-edge research and inspiring them to pursue careers in the field. Overall, the SPORES workshop will provide underrepresented students with a unique opportunity to immerse themselves in the world of mycology, gain valuable skills and knowledge, and connect with peers and mentors who can support them in their academic and professional journey.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/01/2024

05/01/2024

None

Grant

47.074

1

4900

4900

2422406

[{'FirstName': 'Sara', 'LastName': 'Branco', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sara Branco', 'EmailAddress': 'Sara.branco@ucdenver.edu', 'NSF_ID': '000299030', 'StartDate': '05/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Terry', 'LastName': 'Torres Cruz', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Terry J Torres Cruz', 'EmailAddress': 'ttorresc@purdue.edu', 'NSF_ID': '000995009', 'StartDate': '05/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Javier', 'LastName': 'Tabima Restrepo', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Javier F Tabima Restrepo', 'EmailAddress': 'jtabima@clarku.edu', 'NSF_ID': '000877318', 'StartDate': '05/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Clark University', 'CityName': 'WORCESTER', 'ZipCode': '016101400', 'PhoneNumber': '5084213835', 'StreetAddress': '950 MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'LD3WUVEUK2N5', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF CLARK UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Clark University', 'CityName': 'WORCESTER', 'StateCode': 'MA', 'ZipCode': '016101400', 'StreetAddress': '950 MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}

{'Code': '047Y00', 'Text': 'Plant-Biotic Interactions'}

2024~46553

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422406.xml'}

Conference: CPS: NSF Student Travel Grant for 2024 Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week)

NSF

04/01/2024

03/31/2025

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

This project will provide funding for students from U.S. institutions of higher learning to attend the 2024 Cyber-Physical Systems and Internet-of-Things Week (CPS-IoT Week 2024) in Hong Kong during May 13-16. 2024. This is the first in-person international CPS IoT week since the pandemic in 2020. CPS-IoT Week (previously known as CPSWeek) is the premier conference for Cyber-Physical Systems research, and is comprised of five flagship conferences in CPS, namely ICCPS (International Conference on Cyber-Physical Systems), RTAS (Real-Time and Embedded Technology and Applications Symposium), IPSN (Information Processing in Sensor Networks), HSCC (Hybrid Systems: Computation and Control) and IoTDI (Internet of Things Design and Implementation). In addition to these 5 conferences, there are multiple workshops and demonstrations that permit papers to be submitted and presented by graduate students and postdoctoral researchers.&lt;br/&gt;&lt;br/&gt;Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. Travel support to this conference enables participation in the conference by US based students who would not otherwise be able to attend, and provides opportunity to network with top researchers in the field.&lt;br/&gt;&lt;br/&gt;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.

03/08/2024

03/08/2024

None

Grant

47.070

1

4900

4900

2422416

{'FirstName': 'Omprakash', 'LastName': 'Gnawali', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Omprakash Gnawali', 'EmailAddress': 'gnawali@cs.uh.edu', 'NSF_ID': '000601008', 'StartDate': '03/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Houston', 'CityName': 'HOUSTON', 'ZipCode': '772043067', 'PhoneNumber': '7137435773', 'StreetAddress': '4300 MARTIN LUTHER KING BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_ORG': 'TX18', 'ORG_UEI_NUM': 'QKWEF8XLMTT3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF HOUSTON SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Houston', 'CityName': 'HOUSTON', 'StateCode': 'TX', 'ZipCode': '772043067', 'StreetAddress': '4300 MARTIN LUTHER KING BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '18', 'CONGRESS_DISTRICT_PERF': 'TX18'}

{'Code': '7918', 'Text': 'CPS-Cyber-Physical Systems'}

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422416.xml'}

I-Corps: Translation potential of a wearable ultrasound device for hemodynamic monitoring

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a wearable ultrasound medical device for continuous monitoring of the cardiovascular system. Cardiovascular diseases are the world's leading cause of death, claiming approximately 18 million lives annually. Current cardiovascular monitoring technologies often fall short, being either too invasive or lacking in continuous monitoring capabilities, and requiring substantial medical resources leading to high costs and inconvenience for the patient. The device addresses these challenges with a continuous monitoring solution that may be used for patients with atherosclerosis and those recovering from cardiac surgery. In addition, it may be used during vascular surgery, cardiology, and anesthesiology. The goal is to improve healthcare resource utilization for monitoring cardiovascular health and the quality of 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 proposed technology. The solution is based on the development of a medical device for advanced wearable ultrasound technology. The device is constructed using an island-bridge structure. The ultrasonic transducers are considered “islands” interconnected with serpentine-shaped electrode bridges and encapsulated in soft elastomers. The serpentine conductive network offers >50% stretchability with minimal impact on device performance, enabling close contact with the surface of the human body. The device addresses the limitations of current ultrasound probes by providing wearability and a continuous monitoring capability that has been validated through multiple clinical trials. When positioned above a target artery, the device can actively focus and steer ultrasound beams, recording blood flow waveforms, and estimating real-time blood supply. Additionally, the technology has been used in imaging the left ventricle of the heart, providing waveforms of crucial cardiac performance indices such as stroke volume, cardiac output, and ejection fraction. This device may potentially advance cardiovascular diagnostics and provide more dynamic and efficient monitoring techniques.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/29/2024

04/29/2024

None

Grant

47.084

1

4900

4900

2422419

{'FirstName': 'Sheng', 'LastName': 'Xu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sheng Xu', 'EmailAddress': 'shengxu@ucsd.edu', 'NSF_ID': '000699607', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422419.xml'}

Student Travel Support for the 50th International Conference on Very Large Databases 2024

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Judith Cushing', 'PO_EMAI': 'jcushing@nsf.gov', 'PO_PHON': '3607016450'}

This project will provide NSF support for students to attend and participate in the 50th International Conference on Very Large Databases (VLDB 2024) to be held in Guangzhou, China. The grant will be used exclusively for students in US-based institutions, and it will enable the supported students to travel to Guangzhou to participate in the conference and its associated workshops. The funding will defray the registration, travel, and lodging costs for the students.<br/><br/>This grant will enable a life-enriching first-time experience for many students, giving them a taste of the research environment in both academic and industrial circles worldwide. VLDB is a premier conference in the area of databases that brings together technical research papers, tutorials, and workshops centered on various aspects of database research and practice. Participation in this conference will enable the students to enhance their scientific foundation and build their professional networks, and thus contribute directly to training the next generation of scientists who are both consumers and developers of technology in database management system design and implementation. The grant will have a direct impact in creating a highly qualified workforce who can take on the emerging data science challenges of the future.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

04/15/2024

None

Grant

47.070

1

4900

4900

2422438

{'FirstName': 'Abolfazl', 'LastName': 'Asudeh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Abolfazl Asudeh', 'EmailAddress': 'asudeh@uic.edu', 'NSF_ID': '000804184', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606124305', 'PhoneNumber': '3129962862', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': 'W8XEAJDKMXH3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ILLINOIS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois at Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606124305', 'StreetAddress': '809 S MARSHFIELD AVE M/C 551', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'IL07'}

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

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422438.xml'}

Planning: Track 1 EFRI DCL - Organoid-Directed Muscle Control

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Alias Smith', 'PO_EMAI': 'alismith@nsf.gov', 'PO_PHON': '7032928367'}

The proposed planning grant activities aim to broaden the participation of students, researchers, and faculty at Boise State University by engaging national leaders in key research areas via training workshops and forming vertically integrated project (VIP) research teams to germinate new ideas, support future research directions, and improve student training. The research focus that will guide the proposed activities will focus on organoid-directed muscle control, and will help coalesce research in biomedical engineering, electrical engineering, computing, and biological sciences to respond to the challenge of developing organoid-intelligent systems. The team will also use integrative team activities and convergent team training workshops to develop a comprehensive understanding of the ethical, legal, and social Implications of biocomputing through engineered organoid intelligence. <br/><br/>The Boise State University team aims to broaden the participation of researchers, including early career faculty, faculty from primarily undergraduate institutions (PUIs), and researchers from underserved groups, by 1) conducting an Organoid-Based Biological Computing Workshop and 2) organizing professional development workshops that train researchers in techniques for collaborating across disciplines. The team will promote the planned workshops to other institutions inside and outside Idaho that are part of the Centers of Biomedical Research Excellence (COBRE), IDeA Networks of Biomedical Research Excellence (INBRE), and Established Program to Stimulate Competitive Research EPSCoR programs. The expected outcomes from the workshops include forming a VIP team, developing proposal concepts for organoid-based biocomputing, developing an understanding of the ethical considerations inherent in working with organoid intelligence, and recruitment of Ethical, Legal, and Social Implications (ELSI) researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2422460

[{'FirstName': 'Donald', 'LastName': 'Winiecki', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Donald J Winiecki', 'EmailAddress': 'dwiniecki@boisestate.edu', 'NSF_ID': '000158628', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Gunes', 'LastName': 'Uzer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gunes Uzer', 'EmailAddress': 'gunesuzer@boisestate.edu', 'NSF_ID': '000692805', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Benjamin', 'LastName': 'Johnson', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Benjamin Johnson', 'EmailAddress': 'bcjohnson@boisestate.edu', 'NSF_ID': '000776678', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Clare', 'LastName': 'Fitzpatrick', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Clare Fitzpatrick', 'EmailAddress': 'clarefitzpatrick@boisestate.edu', 'NSF_ID': '000805746', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sophia', 'LastName': 'Theodossiou', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sophia K Theodossiou', 'EmailAddress': 'sophiatheodossiou@boisestate.edu', 'NSF_ID': '000953697', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Boise State University', 'CityName': 'BOISE', 'ZipCode': '837250001', 'PhoneNumber': '2084261574', 'StreetAddress': '1910 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Idaho', 'StateCode': 'ID', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'ID02', 'ORG_UEI_NUM': 'HYWTVM5HNFM3', 'ORG_LGL_BUS_NAME': 'BOISE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'HYWTVM5HNFM3'}

{'Name': 'Boise State University', 'CityName': 'BOISE', 'StateCode': 'ID', 'ZipCode': '837250001', 'StreetAddress': '1910 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Idaho', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'ID02'}

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

2024~100000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422460.xml'}

I-Corps: Translation Potential of Compact and Low-Energy Molecular Diagnostic Devices for the Testing for Infectious Diseases

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a simplified diagnostic platform that can significantly increase the reach of infectious disease management, particularly during pandemics. By employing passive heating and cooling to enable biochemical reactions without reliance on conventional, energy-intensive equipment, this device aims to make diagnostics accessible in resource-limited environments. The technology facilitates rapid, on-site disease detection using a smartphone, thereby bypassing the logistical challenges of centralized laboratories. The societal benefits include quicker diagnosis and intervention, which are critical in outbreak containment and management, leading to saved lives and reduced spread of diseases. Commercially, this innovation opens market opportunities within the growing field of point-of-care testing, which is projected to grow due to increasing demand for decentralized healthcare solutions.<br/><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 innovative thermal cycling mechanism that facilitates rapid heating and cooling cycles crucial for the Polymerase Chain Reaction (PCR) processes. The mechanism features a spinning disc embedded with conductors located near stationary magnets. As the disc spins, the changing magnetic fields interact with the conductors to induce eddy currents, which generate Joule heating. This method allows for efficient nucleic acid amplification. By harnessing such passive energy sources, the system achieves significant reductions in complexity and operational costs. The technical merit of this approach lies in its ability to maintain precise temperature control necessary for accurate biochemical reactions, thereby enabling reliable diagnostics in a compact, portable format. This solution has the potential to simplify and expedite pathogen detection in both developed and under-resourced 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.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2422468

{'FirstName': 'Aashish', 'LastName': 'Priye', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Aashish Priye', 'EmailAddress': 'priyeah@uc.edu', 'NSF_ID': '000817108', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Cincinnati Main Campus', 'CityName': 'CINCINNATI', 'ZipCode': '452202872', 'PhoneNumber': '5135564358', 'StreetAddress': '2600 CLIFTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'OH01', 'ORG_UEI_NUM': 'DZ4YCZ3QSPR5', 'ORG_LGL_BUS_NAME': 'CINCINNATI UNIV OF', 'ORG_PRNT_UEI_NUM': 'DZ4YCZ3QSPR5'}

{'Name': 'University of Cincinnati Main Campus', 'CityName': 'CINCINNATI', 'StateCode': 'OH', 'ZipCode': '452202872', 'StreetAddress': '2600 CLIFTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'OH01'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422468.xml'}

CAREER: Next-Generation Methods for Statistical Integration of High-Dimensional Disparate Data Sources

NSF

03/01/2024

05/31/2026

{'Value': 'Continuing Grant'}

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

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

Multi-view data (collected on the same samples from multiple sources) are increasingly common with advances in multi-omics, neuroimaging and wearable technologies. For example, wearable devices such as physical activity trackers, continuous glucose monitors and ambulatory blood pressure monitors are worn concurrently to provide measurements of distinct subjects’ characteristics. There is enormous potential in integrating that concurrent information from the distinct vantages to better understand between-view associations and improve prediction of health outcomes. Existing tools for data integration are sensitive to outliers, and are not designed for mixed data types (e.g. continuous skewed glucose measurements, zero-inflated activity counts, binary indicators of sleep/wake). The PI will develop a more robust framework for multi-view data integration that is better able to account for outliers, better match the mixed types of data actually collected, and be more accurate in separating common from view-specific signals. The new methods will be implemented in open-source software accompanied by reproducible workflow examples, providing immediate and easy access for other researchers. The educational component centers on the development of structured research experiences (SRE) for students. SRE enhances students written communication, software development and reproducible research skills, all of which are lacking in traditional curriculum. This will improve students’ preparation for conducting research, and widen their STEM employment opportunities. The involvement of students from traditionally underrepresented groups will positively impact their retention rate and will broaden the participation of underrepresented groups in STEM.<br/><br/>Popular dimension reduction methods, such as principal component analysis and discriminant analysis, are tailored for single-view data, and thus fail to discover coordinated multi-view signals on a global level. On the other hand, existing multi-view dimension reduction methods suffer from reliance on the Gaussianity assumption, an inability to capture joint functional signals, and a lack of theoretical guarantees. The PI will address these drawbacks by (i) developing a joint dimension reduction framework for skewed continuous, binary and zero-inflated view types; (ii) a joint dimension reduction framework for mixed functional multi-view data and (iii) a new paradigm for simultaneous extraction of signals across views based on hierarchical low-rank constraints. This work will lead to critically needed new statistical methods for data integration with direct relevance for researchers working with wearable monitors, microbiome and multi-omics data through interdisciplinary collaborations of the PI. The proposed structured research experiences will center on the design and reproducibility of simulations studies, and align with computational components of the proposed research, including direct students’ involvement in multiple simulation studies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/12/2024

03/12/2024

None

Grant

47.049

1

4900

4900

2422478

{'FirstName': 'Irina', 'LastName': 'Gaynanova', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Irina Gaynanova', 'EmailAddress': 'irinagn@umich.edu', 'NSF_ID': '000735944', 'StartDate': '03/12/2024', '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': '126900', 'Text': 'STATISTICS'}

2023~24238

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422478.xml'}

CAREER: Quantifying drought and vulnerability indicators for water security in a changing environment

NSF

03/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

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

CBET 1653841 PI: Mishra, Ashok <br/><br/>This project will create a new model for improving water sustainability under extreme droughts and introduce it to the scientific, social and policy communities. The model results will be distributed to user groups who are currently coping with water sustainability issues and will likely do so in the future. The project is anticipated to directly benefit regional stake holders to enable improved management of water resources during drought conditions, and also to assist federal agencies to forecast vulnerability to water stress in advance times that are relevant to stakeholders. The integrated model and approach will be tested in the Savannah River Basin, and it is anticipated that the methodology will be extendible to other parts of the country that witness frequent drought threats to water security.<br/><br/>The goal is to evaluate water security in the context of drought extremes by addressing three research objectives. Specifically, the first two research objectives will focus on quantifying the drought-water security relationship by evaluating dependence structure, cascade behavior and vulnerability threshold, while the third objective is to apply the approach to improve decision making using seasonal forecast and stakeholder information. The research objectives will be tightly connected with a multidisciplinary education and research plan designed to provide solutions to current water insecurity problems.

03/19/2024

03/19/2024

None

Grant

47.041

1

4900

4900

2422542

{'FirstName': 'Ashok', 'LastName': 'Mishra', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ashok Mishra', 'EmailAddress': 'ashok_mishra@tamu.edu', 'NSF_ID': '000652355', 'StartDate': '03/19/2024', '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': '778433124', 'StreetAddress': '3124 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

[{'Code': '150400', 'Text': 'GOALI-Grnt Opp Acad Lia wIndus'}, {'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}]

['2018~39318', '2022~54558', '2023~54856']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422542.xml'}

Postdoctoral Fellowship: CREST-PRP: BUILDING A PREDICTIVE FRAMEWORK FOR ANTHROPOGENIC AND NATURAL DRIVERS OF HABITAT USE IN A MODEL MARINE COASTAL PREDATOR

NSF

09/01/2024

08/31/2026

{'Value': 'Standard Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Regina Sievert', 'PO_EMAI': 'rsievert@nsf.gov', 'PO_PHON': '7032922808'}

Large marine predators such as cetaceans (whales, dolphins, and porpoises) can play important roles in marine ecosystems both as predators and prey. Small cetaceans such as dolphins can be locally abundant and due to their fast metabolism, they rely on predictable sources of food. They are also prey for a range of predators such as sharks, particularly in tropical ecosystems, and are vulnerable to habitat degradation and disturbances from vessel traffic. However, the factors behind how marine predators such as dolphins use their habitat, such as where to find food, safe places to rest, and to socialize, are not well understood. This information will be useful for predicting how they may respond to climate change or to human impacts, such as pollution, overfishing, or boating activity. The goal of this project is to assess how environmental factors affect the behavior and habitat use of marine predators, using coastal dolphins as model organisms. The factors measured will be food availability, predation risk, and boating activity relative to observed dolphin behaviors. The results from this project will help us to better understand and predict how vulnerable marine predators respond to long-term habitat degradation in coastal marine ecosystems.<br/><br/>Little is known about the impacts of urbanization on coastal marine mammals, both directly and indirectly, through changes in prey dynamics and predation risk, or anthropogenic disturbances that can be perceived similarly as predation risk. This project will investigate how variation in anthropogenic and natural drivers are influencing foraging and habitat use decisions of a model upper trophic level predator (bottlenose dolphins, Tursiops truncatus) in a highly urbanized coastal environment. The study will use behavioral ecological theory to test predictions about how dolphins should respond to spatiotemporal variation in prey abundance and predation risk that are likely being modified by human activities in the study area. The study will also investigate whether human disturbance (i.e. boat traffic) results in changes in dolphin behavior that are consistent with the risk-disturbance hypothesis. The methods used in this project will be to: 1) conduct an assessment of prey landscapes along a gradient of human pressure using novel eDNA sampling techniques and baited remote underwater videos (BRUV’s), 2) use active acoustics and video imaging to map benthic habitats, and 3) integrate data on dolphin behavior, boat traffic, prey, and predation risk to test a priori hypotheses of dolphin habitat use and behavior. This interdisciplinary approach provides a comprehensive method of examining habitat use and behavior of elusive marine predators in highly impacted systems. Anticipated results of this study will not only advance the capacity to predict changes in movement, habitat use, and behavior of coastal marine predators in other similar urbanized waterways, but it will also allow us to make future predictions on the viability of populations or population segments exposed to different levels of human impacts and provide important information for stock assessment and management.<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

47.076

1

4900

4900

2422550

{'FirstName': 'Jessica', 'LastName': 'Carde', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jessica L Carde', 'EmailAddress': 'jcard145@fiu.edu', 'NSF_ID': '000954876', 'StartDate': '05/29/2024', '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': 'North Miami', 'StateCode': 'FL', 'ZipCode': '331813000', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'FL24'}

{'Code': '913100', 'Text': 'Centers for Rsch Excell in S&T'}

2024~324986

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422550.xml'}

Conference: Resolution of Singularities, Valuation Theory and Related Topics

NSF

08/01/2024

01/31/2025

{'Value': 'Standard Grant'}

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

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

This award supports US-based participants in a conference on ``Resolution of Singularities, Valuation Theory and Related Topics'' which will be held from August 5 - 9, 2024 in Morelia, Mexico. The conference will be held at Centro de Ciencias Matematicas, UNAM, Morelia. NSF will provide significant travel and lodging support for 12 U.S. participants to the conference. The funding will be for students, postdoctoral scholars and other U.S. participants who do not have other federal support. A particular emphasis will be on supporting a diversity of participants, especially from under-represented groups.<br/><br/>The focus of the conference is on applications of valuation theory to resolution of singularities in positive characteristic and to other areas of algebraic geometry, commutative algebra and singularity theory. Recently, there have been significant advances in this area, and this conference will cover this progress in talks by the authors of this work. The proposed gathering will provide an opportunity for researchers from diverse fields to interact and establish research connections with each other; in particular, the participants will benefit from this interaction and from seeing recent developments in the field and its relationships with other areas. The conference webpage is<br/> https://sites.google.com/view/spivakovsky60thbirthday/home/authuser=0<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/03/2024

04/03/2024

None

Grant

47.049

1

4900

4900

2422557

{'FirstName': 'Steven', 'LastName': 'Cutkosky', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Steven D Cutkosky', 'EmailAddress': 'cutkoskys@missouri.edu', 'NSF_ID': '000228206', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Missouri-Columbia', 'CityName': 'COLUMBIA', 'ZipCode': '652113020', 'PhoneNumber': '5738827560', 'StreetAddress': '121 UNIVERSITY HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'MO03', 'ORG_UEI_NUM': 'SZPJL5ZRCLF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF MISSOURI SYSTEM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Centro de Ciencias Matematicas, UNAM, Morelia', 'CityName': 'Morelia', 'StateCode': None, 'ZipCode': '58089', 'StreetAddress': 'Antigua Carretera a Patzcuaro #8701', 'CountryCode': 'MX', 'CountryName': 'Mexico', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}

2024~17520

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422557.xml'}

DIMACS Special Focus on Fine-Grained Complexity

NSF

06/01/2024

05/31/2027

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

The traditional goal of complexity theory is to classify problems as computationally tractable (i.e., in P, the class of polynomial-time-computable decision problems) or not. Fine-grained complexity investigates relationships between problems within P using precise reductions that preserve various parameters and this approach aids in comparing relative difficulty. Over nearly a decade, fine-grained complexity has evolved with tools applicable to dynamic graph algorithms, stringology, etc. The proposed Center for Discrete Mathematics and Theoretical Computer Science (DIMACS) Special Focus on Fine-grained Complexity aims to consolidate efforts through workshops, tutorials, and a visitor program. Broader impacts include building a diverse community in theoretical computer science and contributing to various other areas of computer science including computational biology and machine learning. Efforts to broaden participation include a rigorous five-day tutorial on fine-grained complexity for graduate students organized by Amir Abboud and Nick Fisher, support for underrepresented groups in computer science, and making resources publicly available. <br/><br/>The DIMACS special focus proposes four workshops, each of which addresses an overarching application area or technique in fine-grained complexity: 1) Algebraic Techniques in Fine-Grained Complexity organized by Josh Alman; 2) Hardness of Approximation in P organized by Karthik C. S.; 3) Fine-Grained Complexity of Graph Problems organized by Thatchaphol Saranurak; and 4) Fine-Grained Complexity of String Problems organized by Elazar Goldenberg. The workshops will bring together researchers from different communities to facilitate the exchange of ideas and work toward developing a set of long-term and short-term goals with respect to the most compelling open problems within the workshop’s theme.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/24/2024

05/24/2024

None

Grant

47.070

1

4900

4900

2422558

[{'FirstName': 'Tamra', 'LastName': 'Carpenter', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tamra J Carpenter', 'EmailAddress': 'tcar@dimacs.rutgers.edu', 'NSF_ID': '000611611', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Karthik', 'LastName': 'Srikanta', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karthik C Srikanta', 'EmailAddress': 'karthik.cs@rutgers.edu', 'NSF_ID': '000865819', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Rutgers University New Brunswick', 'CityName': 'NEW BRUNSWICK', 'ZipCode': '089018559', 'PhoneNumber': '8489320150', 'StreetAddress': '3 RUTGERS PLZ', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'M1LVPE5GLSD9', 'ORG_LGL_BUS_NAME': 'RUTGERS, THE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Rutgers University New Brunswick', 'CityName': 'NEW BRUNSWICK', 'StateCode': 'NJ', 'ZipCode': '089018559', 'StreetAddress': '3 RUTGERS PLZ', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NJ12'}

[{'Code': '287800', 'Text': 'Special Projects - CCF'}, {'Code': '779600', 'Text': 'Algorithmic Foundations'}]

2024~252846

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422558.xml'}

Conference: Organizing the Fourth High-Performance Computing Security Workshop

NSF

04/15/2024

03/31/2025

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

Keeping the nation’s Cyberinfrastructure and HPC installations safe from security threats depends on ongoing sharing of knowledge and technical know-how by community members. This workshop will bring together national, regional and local experts from government agencies, academic and research institutions, and the private sector. The inclusion of students and young professionals in the workshop will allow for the next generation of HPC experts to be cultivated and introduced to our community. It is expected that this workshop will bring together over 100 attendees in-person, and up to 500 virtual attendees. The continued discussion by the community will allow the HPC centers and national cyberinfrastructure to stay ahead of the threats.&lt;br/&gt;&lt;br/&gt;This workshop will be held in Wichita, Kansas, and is being organized as a part of the Oklahoma- Arkansas-Kansas (OAK) Supercomputing Consortium activities. The OAK region has been traditionally under-served and under-represented in the HPC activities. The inclusion of emerging institutions (R2 and smaller institutions) from this region would allow the local staff and researchers to benefit from interaction with the national HPC experts. This would be the first workshop of its kind to be held in the OAK region, therefore, would help the regional institutions to benefit from the national expertise. Participation from students, women, and members of the under-represented groups will be encouraged through a financial support program. This will help the regional and national community to benefit by preparing a wide variety of individual for the present and future threats in the cyberspace.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/02/2024

04/02/2024

None

Grant

47.070

1

4900

4900

2422562

[{'FirstName': 'Ryan', 'LastName': 'Doll', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ryan Doll', 'EmailAddress': 'ryan.doll@wichita.edu', 'NSF_ID': '000952466', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Pratul', 'LastName': 'Agarwal', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pratul K Agarwal', 'EmailAddress': 'pratul.agarwal@okstate.edu', 'NSF_ID': '000289643', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Henry', 'LastName': 'Neeman', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Henry J Neeman', 'EmailAddress': 'hneeman@ou.edu', 'NSF_ID': '000184133', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Oklahoma State University', 'CityName': 'STILLWATER', 'ZipCode': '740781031', 'PhoneNumber': '4057449995', 'StreetAddress': '401 WHITEHURST HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oklahoma', 'StateCode': 'OK', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'OK03', 'ORG_UEI_NUM': 'NNYDFK5FTSX9', 'ORG_LGL_BUS_NAME': 'OKLAHOMA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Oklahoma State University', 'CityName': 'STILLWATER', 'StateCode': 'OK', 'ZipCode': '740781031', 'StreetAddress': '401 WHITEHURST HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oklahoma', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OK03'}

{'Code': '8027', 'Text': 'Cybersecurity Innovation'}

2024~99900

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422562.xml'}

EAGER: Liutex-based Sub-Grid Model for Large Eddy Simulation of Turbulent Flow

NSF

05/01/2024

04/30/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Ron Joslin', 'PO_EMAI': 'rjoslin@nsf.gov', 'PO_PHON': '7032927030'}

An efficient, practical, and accurate numerical simulation method for turbulent flow is important in computational fluid dynamics for the study of tornadoes, hurricanes, aircraft design, and other turbulence-related areas. Due to the limitation of computation resources, it is hard to numerically resolve all-size vortices. Scientists have found that small-scale vortices have similarities although large-scale vortices are quite different. Large eddy simulation only resolves large-scale vortices and leaves sub-grid scales for modeling. Therefore, the accuracy of large eddy simulations is determined by the sub-grid models. The concept of eddy viscosity is still adopted in most practical turbulent flow simulations. However, most of the existing sub-grid models still use the resolved shear to calculate the eddy viscosity, which is inconsistent with the physics, especially in the shear-dominated regions like the laminar sublayer in turbulent boundary layers, where vorticity/shear is large, but eddy viscosity is zero. The inconsistency is caused by the misunderstanding that vortex strength is measured by vorticity. The remedy of using a wall function or artificial adjustment near the wall region cannot solve the consistency problem. Liutex is a new physical quantity exactly representing the direction and strength of a vortex or eddy. Previous direct numerical simulation has shown that Liutex has similarity in the dissipation subregion of the turbulent boundary layer, which paves the foundation for constructing a new sub-grid model by using Liutex.<br/><br/>This project aims to develop a reliable and efficient Liutex-based sub-grid model for the large eddy simulation community. Liutex is a rigorous mathematical definition of vortex that correctly distinguishes fluid rotation and shear. The introduction of Liutex to extract the rigid rotation from the fluid velocity gradient is groundbreaking work in turbulence research. So, modeling small-scale vortices using Liutex instead of shear is very reasonable as eddy is vortex and vortex is Liutex. This project plans to (1) develop a new Liutex-based sub-grid model, (2) develop a new dynamic Liutex-based sub-grid model, (3) test new models in a variety of computational fluid dynamics cases such as backward step flow, S-duct flow, and flow around an airfoil, (4) evaluate the effect of new Liutex-based sub-grid model and compare it with other existing sub-grid models. The code of the new model will be provided to the community through GitHub. As large eddy simulation becomes one of the major tools of computational fluid dynamics, a breakthrough in the development of the sub-grid models will benefit almost all fluid-related research areas and engineering applications in multi-disciplinary research areas including aerodynamics, hydrodynamics, meteorology (hurricanes and tornadoes for example), bio-flow (blood flow and respiratory flow for example), astronomy (sun storm for example), etc.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/16/2024

04/16/2024

None

Grant

47.041

1

4900

4900

2422573

[{'FirstName': 'Yifei', 'LastName': 'Yu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yifei Yu', 'EmailAddress': 'yifei.yu@uta.edu', 'NSF_ID': '000988877', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Chaoqun', 'LastName': 'Liu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chaoqun Liu', 'EmailAddress': 'cliu@uta.edu', 'NSF_ID': '000481998', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Texas at Arlington', 'CityName': 'ARLINGTON', 'ZipCode': '760199800', 'PhoneNumber': '8172722105', 'StreetAddress': '701 S NEDDERMAN DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'TX25', 'ORG_UEI_NUM': 'LMLUKUPJJ9N3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF TEXAS AT ARLINGTON', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Texas at Arlington', 'CityName': 'ARLINGTON', 'StateCode': 'TX', 'ZipCode': '760199800', 'StreetAddress': '701 S. NEDDERMAN DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'TX25'}

{'Code': '144300', 'Text': 'FD-Fluid Dynamics'}

2024~299632

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422573.xml'}

Translating from Kangaroo Rat Burrows to Geotechnical Engineering by Uncovering Fundamental Processes

NSF

10/01/2023

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Giovanna Biscontin', 'PO_EMAI': 'gibiscon@nsf.gov', 'PO_PHON': '7032922339'}

This award supports research to understand the role of kangaroo rats' microbiome in constructing resilient structures in extreme desert environments and how this knowledge can be scaled up to human geotechnical structures in extreme environments. Kangaroo rats construct elaborate burrows over multiple years and occupy them for extended periods of time. The burrows remain open and stable in desert sand and survive the harsh desert conditions, with extreme daily and yearly relative humidity and temperature fluctuations and flash-flood events. This research tests the hypothesis that the burrow microbiome is determined by the microbial community in cheek pouches or feet of kangaroo rats and that biofilms formed in this microbiome (i.e., burrow biofilms) are crucial to burrow stability in stochastic, fluctuating desert environments. The fundamental understanding gained from this project could translate to the design of sustainable ground improvement techniques to be used in geotechnical engineering practice, particularly in locations prone to landslides and substrate collapse. The research will establish direct collaborations among researchers, graduate students, and undergraduate students in geotechnical and geoenvironmental engineering, bioengineering, and biology. <br/> <br/>The research will specifically test the hypotheses that (i) the suction stress characteristic curve of burrow-biofilm-enhanced desert soil is a non-monotonic function of saturation, due to water retention by both the soil and the biofilm, and contributes to effective stress regardless of the extreme fluctuations in humidity, saturation, and temperature, to maintain the stability of the burrows and (ii) biofilms reduce the hydraulic conductivity of burrow ceilings, and therefore prevent flooding of the burrows during storms. The experimental program will include growing the burrow biofilms in the laboratory and determining the strength of burrow-biofilm-enhanced soil over the entire range of saturation and after multiple wet/dry and heat/cool cycles. The research will also investigate how water retention by the cementing agent (i.e., burrow biofilm) contributes to suction stress to maintain burrow stability under extreme fluctuations in environmental conditions. This is important for establishing the mechanistic basis for stability in sandy soils in arid environments. In addition, the research will study how the hydraulic conductivity of desert sand changes with the addition of burrow biofilm. Results from this research will reveal how one of the most prolific ecosystem engineers digs complex, stable, and sustainable underground environments in desert sand and how an individual’s phenotype extends from their microbiome, to burrow site selection, and more broadly to landscape biogeomorphology.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2422574

{'FirstName': 'Idil', 'LastName': 'Akin', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Idil D Akin', 'EmailAddress': 'idilakin@g.ucla.edu', 'NSF_ID': '000800950', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'ZipCode': '900244200', 'PhoneNumber': '3107940102', 'StreetAddress': '10889 WILSHIRE BLVD STE 700', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'CA36', 'ORG_UEI_NUM': 'RN64EPNH8JC6', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, LOS ANGELES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Los Angeles', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900244200', 'StreetAddress': '580 Portola Plaza, Boelter Hall rooms 2270, 7713, and 7714', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'CA36'}

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

2021~466838

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422574.xml'}

Collaborative Research: Road Information Discovery through Privacy-Preserved Collaborative Estimation in Connected Vehicles

NSF

01/01/2024

08/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Alex Leonessa', 'PO_EMAI': 'aleoness@nsf.gov', 'PO_PHON': '7032922633'}

This project will promote the progress of science and advance the national prosperity and welfare, by investigating novel methodologies leading to efficient road information discovery, as well as safe and efficient transportation systems. Real-time and crowd-sourced road information, such as black ice, pothole, and road roughness, can improve vehicle performance. Existing road information discovery approaches are not always practically viable, due to limitations in road coverage and lack of robustness. This award supports development of a novel collaborative road information crowdsourcing methodology using connected vehicles. The new methodology will enable efficient, robust, and broad-coverage road information discovery by utilizing connected vehicles as mobile sensors while preserving privacy of the participating vehicles. The crowd-sourced information can be incorporated in vehicle controls to improve safety, efficiency, and comfort. In addition, the new up-to-date road condition information will help address the nation’s urgent need to rebuild and modernize road infrastructure, by informing the road maintenance and repair plans. This research involves several disciplines including vehicle dynamics, optimal estimation, iterative learning control, and privacy. The multi-disciplinary approach will help broaden participation of underrepresented groups in research and positively impact engineering education.&lt;br/&gt;&lt;br/&gt;The privacy-preserved collaborative estimation using connected vehicles is expected to make vehicle-based road information discovery practically and economically viable. This project will support work to overcome several scientific challenges that need to be overcome to realize full application potential of such connected systems. The research team will develop jump-diffusion process-based estimation to enhance road information discovery performance when dealing with abrupt input/disturbance changes in a single vehicle setting. The team will also develop iterative learning-based collaborative estimation across heterogeneous vehicles to enable the exploitation of local estimation from a network of heterogeneous agents to iteratively improve the performance of road information discovery. Finally, the research group will design dynamics-enabled privacy preservation schemes to protect vehicle privacy without affecting computation fidelity or incurring large computation/communication overhead, and evaluate the methodology in the application of collaborative road profile estimation.&lt;br/&gt;&lt;br/&gt;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.

03/18/2024

03/18/2024

None

Grant

47.041

1

4900

4900

2422579

{'FirstName': 'Minghui', 'LastName': 'Zheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Minghui Zheng', 'EmailAddress': 'mhzheng@tamu.edu', 'NSF_ID': '000768814', 'StartDate': '03/18/2024', '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': '1631', 'Text': 'CIS-Civil Infrastructure Syst'}, {'Code': '7569', 'Text': 'Dynamics, Control and System D'}]

2020~72505

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422579.xml'}

CAREER: Black Feminist Epistemologies: Building a Sisterhood in Computing

NSF

06/01/2024

07/31/2028

{'Value': 'Continuing Grant'}

{'Code': '11060000', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'EES', 'LongName': 'Div. of Equity for Excellence in STEM'}}

{'SignBlockName': 'Elsa Gonzalez', 'PO_EMAI': 'elgonzal@nsf.gov', 'PO_PHON': '7032924690'}

The Faculty Early Career Development (CAREER) program is a National Science Foundation-wide activity that offers awards in support of early-career faculty who have the potential to serve as academic role models in research and education, to lead advances in the mission of their department or organization, and to build a foundation for a lifetime of leadership in integrating education and research. This CAREER project explores the postsecondary experiences of Black women currently enrolled in undergraduate computing degree programs to draw attention to racial and gender inequalities that Black women in computing endure. Despite efforts to intentionally increase the recruitment and retention of women in the field of computing, Black women remain acutely underrepresented. Gender-focused efforts have fallen short of increasing the number of Black women in computing because they fail to acknowledge how the intersection of race and gender shape Black women’s experiences, including their retention in the field of computing.<br/><br/>Recent studies reveal that Black women enrolled in undergraduate computing degree programs at predominantly white institutions (PWIs) attest to the lack of support, mentorship, and resources that impede their ability to complete their degrees. Some choose to withdraw from these programs. Such results suggest that additional research explicitly focused on Black women enrolled at PWIs is essential for addressing the underrepresentation of Black women in computing. It aligns with the recent National Academies of Science Report, which recommends examining the experiences of women of color at critical junctures throughout their career. This project leverages Black feminist epistemologies and Black women’s ways of knowing, as critical frameworks of this research. The project utilizes the concept of sister circles to create counter spaces to build community and resist structural oppression. Sister circles amplify the voices of Black women as they engage in intimate conversations about experiences navigating their respective computing degree programs students. Additionally, Black women undergraduate computing students will share information about how structural oppression operates in the context of computing education and devise strategies to resist structural oppression. Results from this research will generate empirical, in-depth knowledge of Black women undergraduate students’ experiences in computing degree programs at PWIs, identifying critical inflection points during their progression that predict Black women’s ability to persist in computing. Additionally, a sister circle toolkit will be developed that enables PWIs to build an effective community of support for Black women in computing. This community includes access to near-peer mentors, resources, and information about career development opportunities as a countermeasure to the oppression and trauma that Black women experience in higher education. This project is funded by the Directorate for STEM Education Core Research (ECR) program, which supports work that advances fundamental research on STEM learning and learning environments, broadening participation in STEM, and STEM workforce development.<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

47.076

1

4900

4900

2422606

{'FirstName': 'Yolanda', 'LastName': 'Rankin', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yolanda A Rankin', 'EmailAddress': 'yrankin@gmail.com', 'NSF_ID': '000675907', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Emory University', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303221061', 'StreetAddress': '201 DOWMAN DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '798000', 'Text': 'ECR-EDU Core Research'}

2023~772953

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422606.xml'}

Conference: NSF Student Travel Grant for the 2024 ACM Computer Supported Cooperative Work & Social Computing (CSCW 2024)

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

This award provides funding to support about 12 promising graduate students to participate in a two-day Doctoral Research Symposium to be held on Nov 9-10, 2024, in conjunction with the ACM 2024 Conference on Computer Supported Cooperative Work & Social Computing (CSCW) in San Jose, Costa Rica. CSCW is the premier international forum for research investigating the design and use of technologies that affect groups, organizations, communities, and networks. CSCW research spans a wide range of work, civic, and everyday life activities, as well as a wide range of computing technologies and academic disciplines. The CSCW doctoral consortia, which began in 1992, serve to bring together students and mentors across the wide range of topics, devices, institutions, and disciplines the CSCW community encompasses, providing an important place for exchange of ideas in the broader community. These events have long helped young doctoral scholars both refine their research and advance their professional development within the CSCW community under the guidance of experienced mentors in the field.<br/><br/>Goals of the doctoral consortium include building a cohort group of new researchers who will then have a network of colleagues spread out across the world, guiding the work of new researchers by having experts in the research field mentor them and provide constructive advice, and making it possible for promising new entrants to the field to attend their research conference. Students will give brief presentations about their research, followed by discussion and constructive feedback both from members of the faculty panel and other student participants. The feedback will be geared to helping students understand and articulate how their work is positioned relative to other CSCW research, whether their topics are adequately focused for thesis research projects, whether their methods are correctly chosen and applied, and whether their results are appropriately analyzed and presented. Mentors will discuss different aspects of research the research profession, including career paths, funding, work-life balance, and related topics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

04/15/2024

None

Grant

47.070

1

4900

4900

2422622

[{'FirstName': 'Gabriela', 'LastName': 'Marcu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Gabriela Marcu', 'EmailAddress': 'gmarcu@umich.edu', 'NSF_ID': '000695039', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Jacob', 'LastName': 'Biehl', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jacob Biehl', 'EmailAddress': 'biehl@pitt.edu', 'NSF_ID': '000815178', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

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

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

2024~26673

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422622.xml'}

NRI/Collaborative Research: Robotic Disassembly of High-Precision Electronic Devices

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'}

The National Robotics Initiative (NRI) project addresses the increasing quantity of discarded high-precision electronics such as cell phones, tablets, and laptops. Current recycling methods rely on shredding after battery removal, due to high labor costs for disassembly. As a result, many valuable components are buried in landfills and not recycled. Disassembly, the first step of recycling, is more complex than assembly since there is much more variability in product type and, as a result, remanufacturing is usually not profitable. This award supports research to provide the fundamental understanding needed for the development of a novel robotic system that can effectively perform high-precision disassembly operations and make them practically and economically viable. The work has potential to mitigate labor shortages in recycling industry, reduce electronics waste, and revolutionize the remanufacturing of high-precision electronics. The research involves several disciplines including 3D sensing, deep learning, and robotics. The multidisciplinary research will be integrated into a series of educational and outreach activities which will increase the participation of underrepresented groups in research and positively impact engineering education.<br/><br/>Unlike the robotic assembly lines that assemble products, programming robots for repetitive operations is not a feasible solution for disassembly due to the widely varying types of discarded high-precision electronics. Therefore, disassembly of high-precision electronics is significantly more complex than assembly and requires high robotic adaptability, dexterity and accuracy. The research aims to enable a novel robotic system that can accurately see, interpret, and disassemble high-precision electronics through integrated and convergent research on 3D sensing, deep learning, robotic hand design, and high-precision manipulation. In particular, the research team will (1) perform accurate 3D sensing for complex surfaces exhibiting wide ranges of optical properties and reflectivity variations; (2) design and optimize the design of deep learning architectures for 3D point cloud interpretation; and (3) design a novel lightweight cable-driven robotic hand and develop a high-precision manipulation algorithm enabling efficient learning from experience.<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.

03/18/2024

04/01/2024

None

Grant

47.041

1

4900

4900

2422640

[{'FirstName': 'Xiao', 'LastName': 'Liang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiao Liang', 'EmailAddress': 'xliang@tamu.edu', 'NSF_ID': '000795743', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Minghui', 'LastName': 'Zheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Minghui Zheng', 'EmailAddress': 'mhzheng@tamu.edu', 'NSF_ID': '000768814', 'StartDate': '03/18/2024', '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': '801300', 'Text': 'NRI-National Robotics Initiati'}

2021~378858

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422640.xml'}

I-Corps: Translation Potential of an Artificial Intelligence-Assisted Social Learning Platform for Routinizing Cybersecurity Awareness in Workforce Development

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a personalized cybersecurity awareness and training platform, designed to address the limitations of traditional cybersecurity training by developing artificial intelligence (AI) algorithms and utilizing a Social Learning Based Software as a Service model. This platform leverages AI algorithms to tailor the learning experience to each user's level of expertise and educational background, based on a differentiated instruction methodology. This solution ensures that the content is both relevant and appropriately challenging as users progress. The AI system also provides real-time feedback, allowing users to learn from mistakes and gradually improve their cybersecurity skills. The commercial potential of this platform lies in the increasing demand for cybersecurity skills in the workforce and the need for ongoing education to combat emerging cyber threats.<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 machine learning algorithms to support a personalized learning platform tailored to each user's skill level and educational background. The approach leverages differentiated instruction methodologies, ensuring the training content adapts to be both relevant and appropriately challenging as participants progress. A key feature of this AI-driven system is its capability to provide real-time feedback, enabling learners to promptly address mistakes and incrementally enhance their cybersecurity skills. This innovation builds upon foundational research that explored different ways to implement cybersecurity in a particular application scenario, extending the application of AI in cybersecurity educational 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.

04/30/2024

04/30/2024

None

Grant

47.084

1

4900

4900

2422643

{'FirstName': 'Xueping', 'LastName': 'Liang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xueping Liang', 'EmailAddress': 'xliang.fiu@gmail.com', 'NSF_ID': '000997633', 'StartDate': '04/30/2024', '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': '2422643.xml'}

Topology Students Workshop

NSF

02/15/2024

12/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Swatee Naik', 'PO_EMAI': 'snaik@nsf.gov', 'PO_PHON': '7032924876'}

The Topology Students Workshop (TSW) will be held at Georgia Institute of Technology during June 6-10, 2022. This conference is a 5-day research and professional development workshop for graduate students in the fields of geometric group theory, geometry, and topology. Its primary goals are to a) expose graduate students to a wide range of current research in topology, b) build their communication, networking, and problem-sharing skills, and c) give guidance on necessary but typically untaught aspects of the profession. Approximately 50 graduate students will participate, guided by 10 mentors, who come from a wide range of career stages and represent a broad array of topics within geometry and topology including contact and symplectic topology, 3-manifolds, hyperbolic geometry, group actions, and complex dynamics. The conference provides the participants, especially those from underrepresented groups, with many tools that will help them to succeed as scientists at the highest levels, in graduate school and beyond.<br/><br/>For many of the students, the TSW is the first conference they attend and at which they present their own results. The workshop is designed to facilitate this experience (for instance, our first professional development session is an introduction to conferences and how best to benefit from them). The goal is to build confidence and research potential among students, as well as to build community. The skills addressed here are not typically taught in grad school and can be disproportionately beneficial to students from minority groups, as indicated from responses from participants in previous iterations of the program. The professional development and research sides of the workshop run in tandem, with mentors giving guidance in both areas. The workshop includes structured sessions on networking and etiquette, the job application process, communication skills, and a panel discussion on career paths (which also involves mathematicians from organizations such as NSA, Amazon, Google, and private high schools). Mentors also give research talks, both to model good communication and introduce their research areas (deliberately chosen broadly) and relevant problems to students who are embarking on a research career. Effective communication is a major theme: two evening sessions are devoted to workshopping presentations in small groups; the final presentations are videotaped and critiqued by those in attendance. The web site for the conference is http://tsw.gatech.edu<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.

02/27/2024

02/27/2024

None

Grant

47.049

1

4900

4900

2422651

{'FirstName': 'Dan', 'LastName': 'Margalit', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dan Margalit', 'EmailAddress': 'dan.margalit@vanderbilt.edu', 'NSF_ID': '000512332', 'StartDate': '02/27/2024', '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': '126000', 'Text': 'INFRASTRUCTURE PROGRAM'}, {'Code': '126700', 'Text': 'TOPOLOGY'}]

2020~4292

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422651.xml'}

Conference: SafeSpace: A Cybersecurity Workshop for Space

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

To highlight the challenges at the intersection of space technologies and cybersecurity, USC CREST will organize a workshop on June 25th-26th 2024. The purpose of this workshop is to outline a national strategic roadmap to catalyze generational advances at the intersection of cyberphysical systems, space, and cybersecurity research and education. We will engage stakeholders of the cyber physical systems, security, and space research, sponsor, and customer communities. This will be the inaugural workshop in a series envisioned as taking place every other year, focusing on different technical disciplines within the space domain. <br/> <br/>The workshop will be organized along three areas: 1) Fundamental intellectual advances in theoretical and experimental methodologies and techniques, with focus on complex systems and human-computer interactions for space and cybersecurity; 2) New approaches to rapid and effective sharing of data and knowledge to accelerate multi-discipline and cross-organizational knowledge generation and community building; and 3) Advanced, accessible simulation, emulation and experimentation infrastructure capabilities. The workshop will facilitate experts and researchers to provide diverse viewpoints, technical perspectives, and cross-pollinate ideas. The report generated from the workshop will be widely distributed to spur additional ideas and conversations. Securing the space domain has strong impacts to our future national well-being.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/24/2024

05/24/2024

None

Grant

47.070

1

4900

4900

2422664

{'FirstName': 'Alefiya', 'LastName': 'Hussain', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Alefiya Hussain', 'EmailAddress': 'hussain@isi.edu', 'NSF_ID': '000587550', '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': 'University of Southern California', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900890701', 'StreetAddress': '3720 S FLOWER ST FL 3', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}

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

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422664.xml'}

Travel Support for Broadening Participation of Researchers in the 2024 REMADE Institute Circular Economy Tech Summit &amp; Conference; Washington, DC; 10-11 April 2024

NSF

03/15/2024

02/28/2025

{'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 travel support for students and young faculty, especially, from underrepresented or underserved groups in STEM education to attend and participate in the REMADE Institute Circular Economy Tech Summit and Conference. REMADE Institute’s goal is to develop technologies to reuse, remanufacture, and recycle energy-intensive materials. REMADE’s mission is to foster manufacturing technologies that reduce embodied energy and decrease emissions. This conference aims to provide a forum to share leading-edge research on technologies that accelerate the US's transition to a Circular Economy. The conference offers participants an opportunity to showcase their scientific accomplishments, interact with peers and colleagues from academia, government labs, and industry, extend their network, and foster new collaborations within the broader advanced manufacturing community. Consistent with NSF's goal to broaden the participation of groups underrepresented in science and engineering, the REMADE Institute preferentially allocates travel funds to underrepresented minorities, women, and persons with disabilities. This approach promotes greater diversity in STEM fields and benefits the nation by educating and training a skilled workforce better prepared to provide transformative solutions to overcome challenges in their chosen fields. The conference meets the national priorities of advancing manufacturing, economic prosperity, environmental quality, as well as achieving diversity, equity and inclusion.&lt;br/&gt;&lt;br/&gt;The REMADE Institute anticipates conference attendance benefits the students and young faculty's professional, scientific and technical development. The conference’s goal is to integrate the materials lifecycle stages which are design, manufacturing, remanufacturing, and recycling with a system-level perspectives designed to identify crosscutting research collaboration opportunities. These underestandings are critical to the achievement of a circular economy. The conference includes talks by leading domestic and international speakers, who discuss their latest research on topics such as regenerative economy, recovery/recycling/remanufacturing technologies, role of circular economy in a resource-constrained world, industrial ecology, overcoming supply chain challenges, net zero emissions in manufacturing, industrial decarbonization, technologies for transforming materials recovery facilities, and others. Additionally, the conference enables students and young faculty to enhance their communication skills through oral and poster presentations and in-depth discussions of their work with their peers. This interactive experience significantly broadens the education and training of students and young faculty from underrepresented groups, increases their enthusiasm for the research topic, acquaints them with expectations for scientific careers, and exposes them to new approaches and opportunities for innovative research.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/01/2024

04/01/2024

None

Grant

47.041

1

4900

4900

2422667

{'FirstName': 'Nabil', 'LastName': 'Nasr', 'PI_MID_INIT': 'Z', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nabil Z Nasr', 'EmailAddress': 'nzneie@rit.edu', 'NSF_ID': '000203709', 'StartDate': '04/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUSTAINABLE MANUFACTURING INNOVATION ALLIANCE CORP.', 'CityName': 'WEST HENRIETTA', 'ZipCode': '145869687', 'PhoneNumber': '5852131031', 'StreetAddress': '150 LUCIUS GORDON DR', 'StreetAddress2': 'STE 204', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'NY25', 'ORG_UEI_NUM': 'K8NNMYYN4SX4', 'ORG_LGL_BUS_NAME': 'SUSTAINABLE MANUFACTURING INNOVATION ALLIANCE CORP', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SUSTAINABLE MANUFACTURING INNOVATION ALLIANCE CORP.', 'CityName': 'WEST HENRIETTA', 'StateCode': 'NY', 'ZipCode': '145869687', 'StreetAddress': '150 LUCIUS GORDON DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422667.xml'}

CAREER: Unfolding Earth history back to the Mesozoic by incorporating seismic tomography into Pacific realm plate tectonic reconstructions

NSF

10/01/2023

12/31/2024

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Colin A. Shaw', 'PO_EMAI': 'cshaw@nsf.gov', 'PO_PHON': '7032927944'}

Current plate tectonic theory permits less than half of the Earth surface to be reconstructed with adequate detail by the early Cretaceous, which is only the most recent ~3% of Earth history. The largest unknowns lie within the Panthalassa-Pacific realm, a now-vanished oceanic domain that once covered ~70% of the Earth. This project will build a new Panthalassa-Pacific plate reconstruction back to Mesozoic times from the novel constraints of seismic tomography - seismological images of the Earth?s mantle. The research is combined with an educational plan that focuses on using Earth interior imaging to help develop the essential but underutilized STEM skill of 3D spatial analysis, an identified core geoscience skill. Outreach efforts prioritize reaching groups historically underrepresented in the sciences via undergraduate curriculum development, a collaborative partnership with a local inner-city STEM magnet high school, and through summer undergraduate experiences. <br/><br/>This project will build a tomography-led, full plate reconstruction for the Pacific-Panthalassa realm back to the Mesozoic era that will contribute time-dependent kinematic and tectonic boundary conditions for global models and regional studies. An unconventional tomographic plate reconstruction workflow is used that involves 3D mapping of slabs from tomography, slab unfolding (retro-deformation), and assigning plate motions to the unfolded slabs in a hierarchical fashion using available kinematic constraints. The tomographic plate reconstruction model is systematically compared to relevant circum-Pacific geological datasets, and further tested as input boundary conditions for two distinct geodynamic forward modeling approaches using established workflows for the mature codes CitcomS and TERRA. The resulting plate model will provide an alternative subduction history for more than half of the Earth that can be simulated within other global models. In addition, the project explores the capabilities and limitations of seismic tomography for linking the deep mantle to the Earth surface for 4D Earth evolution, which supports an identified key research frontier for NSF Tectonics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/04/2024

04/04/2024

None

Grant

47.050

1

4900

4900

2422671

{'FirstName': 'Jonny', 'LastName': 'Wu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonny Wu', 'EmailAddress': 'jonnywu@arizona.edu', 'NSF_ID': '000741576', 'StartDate': '04/04/2024', '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': 'University of Arizona', 'CityName': 'TUCSON', 'StateCode': 'AZ', 'ZipCode': '85721', 'StreetAddress': '1040 E 4th Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}

{'Code': '157200', 'Text': 'Tectonics'}

2023~107278

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422671.xml'}

NSF-BSF: Development of a Chimera Enzyme Switch for Branched-chain Amino Acids Biosensing

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Aleksandr Simonian', 'PO_EMAI': 'asimonia@nsf.gov', 'PO_PHON': '7032922191'}

The goal of the project is the development of a novel biosensor system for the ultra-selective and sensitive analysis of specific amino acids in clinical diagnostics and medicine. The combining of new biotechnological and bioanalytical approaches will lead to the creation of these novel bioanalytical systems. The interest of the proposed study is enhanced by the possibility of its simple and easily exchangeable adaptation to numerous amino acids as human health biomarkers. The primary project focus is on the diagnostics of Maple Syrup Urine Disease, a rare and severe genetic disorder impacting the processing of branched-chain amino acids including leucine. The early detection and continuous monitoring of leucine levels in the bloodstream are crucial for a timely diagnosis of such disorders in infants and young children. Thus, the project has not only scientific but also high practical importance, providing a new easy-to-use point-of-care biosensor system for end-users. The educational project’s impacts include the participation of undergraduate researchers as well as PhD students. Special attention is given to the recruitment of junior researchers at all levels, including those from underrepresented groups and war-affected countries. The mentoring by experts in the field will stimulate student achievement recognized via media coverage and high-level student-coauthored publications. The involvement in this multidisciplinary project will ignite interest in science improving the student’s education, and experience resulting in increasing chances for their successful professional career growth in the future.<br/><br/>The present proposal aims to develop a new biotechnological/bioanalytical platform based on unique genetic-engineered chimera enzymes for biosensor use. The chimeric enzymes will be constructed by fusing ultraselective enzymes to specific amino acids – aminoacyl tRNA synthetases (RSs) with pyrroloquinoline-quinone glucose dehydrogenase (PQQ-GDH) as a reporter. The fused chimera enzymes will be characterized by a high selectivity toward the target amino acid and, simultaneously, by an ability to efficiently direct electron transfer to the physical transducer. The proposed platform is quite universal, as it is easy to modify the sensor's amino acid specificity by changing the specific RS domain of the fused chimera enzyme. To simplify the purification of the split parts of the chimera enzyme, the His6-tag will be integrated into the domains’ structure. Moreover, modifying the chimera by His6-tag makes it possible to control the immobilization of the fused chimeric enzyme on the surface of the physical transducer. The use of His6-tag affinity materials/chemicals (e.g., copper-formed nanoparticles or pyrene-NTA) will provide an appropriate orientation of the PQQ-GDH-consisting domains in a well-organized self-assembled layer close to the electrode surface. Such an approach ensures an efficient direct electron transfer from the PQQH2 reduced active center resulting in an increase in the signal amplification factor. Also, the controlled orientation will prevent the chimeric enzyme inhibition during its conformational changes in the immobilized state. The specific output from the immobilized chimeric enzymes will be analyzed by electrochemical and optical readouts (using a PQQ-specific fluorescent probe and a smartphone camera).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.041

1

4900

4900

2422672

[{'FirstName': 'Evgeny', 'LastName': 'Katz', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Evgeny Katz', 'EmailAddress': 'ekatz@clarkson.edu', 'NSF_ID': '000153259', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Oleh', 'LastName': 'Smutok', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Oleh Smutok', 'EmailAddress': 'osmutok@clarkson.edu', 'NSF_ID': '000989079', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Clarkson University', 'CityName': 'POTSDAM', 'ZipCode': '136761401', 'PhoneNumber': '3152686475', 'StreetAddress': '8 CLARKSON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '21', 'CONGRESS_DISTRICT_ORG': 'NY21', 'ORG_UEI_NUM': 'SL2PF6R7MRN1', 'ORG_LGL_BUS_NAME': 'CLARKSON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Clarkson University', 'CityName': 'POTSDAM', 'StateCode': 'NY', 'ZipCode': '136761401', 'StreetAddress': '8 CLARKSON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '21', 'CONGRESS_DISTRICT_PERF': 'NY21'}

{'Code': '790900', 'Text': 'BIOSENS-Biosensing'}

2024~449651

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422672.xml'}

EDGE CMT: Evolutionary developmental systems genetics of obligate sterility in ants

NSF

10/01/2023

12/31/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Theodore Morgan', 'PO_EMAI': 'tmorgan@nsf.gov', 'PO_PHON': '7032927868'}

A major goal of Biology is to understand the links between genomes and development and how evolution has tinkered with these mechanisms to produce the diversity of life. Ants provide powerful study systems for exploring these and related topics because they show striking diversity within and between species. A defining feature of ant societies is the presence of a reproductive caste system where some individuals called queens specialize on reproduction and other individuals called workers specialize on other tasks. In most species, workers possess reduced reproductive organs and are capable of reproduction under certain circumstances (e.g., queen death), but in other species, workers completely lack reproductive organs. Such obligate worker sterility has evolved at least 14 times across ants, yet little is known about the molecular mechanisms regulating the expression of this obligate sterility or whether the mechanisms are the same across each of the independent origins of sterility. The overall goal of this research is to elucidate the mechanisms underlying the expression and evolution of obligate sterility in ants and to further validate the effects of genes influencing the development of sterility in fruit flies. Our research may provide novel insight into conserved genetic pathways regulating animal reproduction and reproductive health. Further broader impacts of the research will be training students and researchers in approaches to study the genetic basis and evolution of development, working to improve public understanding of evolution and development, and working to increase student participation in science. &lt;br/&gt;&lt;br/&gt;A major goal of Biology is to understand the mechanisms linking genomes to phenotypes and how evolution generates and tinkers with these regulatory mechanisms to produce the diversity of life. One striking phenotype is the presence of an obligately sterile worker caste in social insects, which has evolved at least 14 times in ants, yet little is known about the underlying regulatory networks and whether this convergent phenotypic evolution involves convergent or parallel molecular evolution. The overall goal of this research is to use an integrative approach to elucidate the gene regulatory networks underlying the expression and evolution of obligate sterility in ants. Ants provide a rare opportunity to study how infertility and sterility evolved within the context of their societies, connecting individual germline loss to colony-level gain of a sterile worker caste. The germ-soma distinction within organisms is fundamental to multicellular life, and germline sequestration is a fundamentally important step in animal development. This research may contribute to understanding general principles and molecular pathways associated with animal development and the origin of cell types. Moreover, the research may provide novel candidate genes and pathways regulating a range of complex phenotypes associated with reproduction, reproductive health, to be further studied in model organisms. Further broader impacts of the grant include training students and postdoctoral researchers in approaches to study the genetic basis and evolution of development, working to improve public understanding of evolution and development, and working to increase student participation in STEM fields.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/02/2024

04/02/2024

None

Grant

47.074

1

4900

4900

2422694

{'FirstName': 'Timothy', 'LastName': 'Linksvayer', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy A Linksvayer', 'EmailAddress': 'tlinksva@asu.edu', 'NSF_ID': '000305829', 'StartDate': '04/02/2024', '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': '136Y', 'Text': 'EDGE Research'}

['2021~286102', '2022~700000']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422694.xml'}

Continuous, Large-scale Manufacturing of Functionalized Silver Nanowire Transparent Conducting Films

NSF

01/01/2024

12/31/2024

{'Value': 'Standard Grant'}

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

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

This research aims to discover a new technique for the economical manufacture of silver nanowire transparent conductive films for the Internet of Nano Things. The Internet of Nano Things promises to connect a new generation of sensors, transducers, data processors and communication devices for a smart and connected world. A vital component of all nanodevices is transparent conductive films, generally made of silver nanowires. Current manufacture of silver nanowires is costly as it involves multi-step batch production. This award investigates a new approach for large-scale manufacture of silver nanowires with direct coupling with a three-dimensional printing system for patterning of transparent conducting films. The reduced cost of transparent conducting films and print-on-demand silver nanowires hasten the adoption of devices for the Internet of Nano Things, which contributes to the U.S. economy and prosperity. This research combines aspects of manufacturing, material science, nanotechnology, chemistry, and engineering. Students actively participate in research thus achieving engineering expertise in advanced manufacturing, which is important to U.S. industry. Undergraduate and graduate students, particularly from under-represented groups, are encouraged to participate in research and training.<br/><br/>This project studies the reaction conditions and mechanisms in a continuous reactor to produce silver nanowire (AgNW)-based conductive inks that can be continuously printed onto flexible substrates to create transparent conducting films (TCFs) for the Internet of Nano Things (IoNT). The current batch production of AgNWs involves the costly steps of selective separation and concentration of the desired AgNWs. In addition, AgNWs are prone to oxidation in harsh environments. This project studies a millifluidic system for the manufacture of monodispersed AgNWs with controllable length and aspect ratio and sufficient concentration for high performance TCFs. The millifluidic reactor is connected to a 3D printer for continuous manufacture and printing of AgNW-based TCFs with a reduction in cost while maintaining high print quality. In-situ monitoring of the millifluidic synthesis by X-ray absorption spectroscopy provides fundamental understanding of the reaction mechanisms. Mechanistic knowledge of the chemical reactions helps to achieve control over the aspect ratio and yield of the AgNWs. The AgNWs are modified using Pd nanoparticles via the galvanic replacement of Ag with Pd cations to achieve stability against oxidation. This research advances AgNW TCFs that are low cost, environmentally stable, with flexible/stretchable characteristics needed in applications such as IoNT devices with high potential for advancing the field of flexible electronics.<br/><br/>This project is jointly funded by the Advanced Manufacturing 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.

03/27/2024

03/27/2024

None

Grant

47.041, 47.083

1

4900

4900

2422696

{'FirstName': 'Shohreh', 'LastName': 'Hemmati', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shohreh Hemmati', 'EmailAddress': 'shohreh.hemmati@usm.edu', 'NSF_ID': '000779398', 'StartDate': '03/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Southern Mississippi', 'CityName': 'HATTIESBURG', 'ZipCode': '394060001', 'PhoneNumber': '6012664119', 'StreetAddress': '118 COLLEGE DRIVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Mississippi', 'StateCode': 'MS', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MS04', 'ORG_UEI_NUM': 'M1K8LJAET5R1', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF SOUTHERN MISSISSIPPI', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Southern Mississippi', 'CityName': 'HATTIESBURG', 'StateCode': 'MS', 'ZipCode': '394060001', 'StreetAddress': '118 COLLEGE DRIVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Mississippi', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MS04'}

[{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

2020~45464

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422696.xml'}

CAREER: Facilitating Autonomy of Robots Through Learning-Based Control

NSF

01/01/2024

08/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Ralph Wachter', 'PO_EMAI': 'rwachter@nsf.gov', 'PO_PHON': '7032928950'}

Drone techniques have achieved significant progress in the past decades. However, it is still very challenging to massively bring heterogeneous drones by many different manufacturers to real-world applications. One main reason is that, whenever a new drone is built, the planning and control algorithms for the drone usually have to be designed very carefully and the actions for the drone to take usually have to be laboriously programmed with considerable tuning effort. To remove, if not lessen, such limitations, this Faculty Early Career Development (CAREER) project establishes a novel learning-based framework that equips drones with new capabilities of "learning from the experience" of other drones despite their different dynamics and platforms. This approach to design of planning and control of drones will significantly reduce the design, test, evaluation and certification of drones, uniquely and efficiently customized for applications in their operating environment. The integrated research-and-education activities will provide students in the Western New York area with hands-on experience and internship opportunities on drone techniques, toward better preparing the future workforce for the unmanned aerial system industry in the United States.&lt;br/&gt;&lt;br/&gt;This project will establish a novel learning-based feedforward control framework and equip drones with new capabilities for learning three particular skills, i.e., (1) how to generate a dynamically feasible trajectory, (2) how to sense and compensate external disturbances, and (3) how to learn from others' learned experience, called "dynamic learning." These three skills are crucial for drones to perform complex tasks, and the foundation for understanding of how one robot could efficiently learn from the experiences gathered by other robots with different dynamics. Key to this approach is an architecture that automatically adjusts the original outputs of the baseline planners and controllers by adding feedforward learning signals to improve drone's flight performance. This learning framework is neither to completely replace the existing planning and control methods nor to compete for the highest optimized performance possible but rather to provide an elegant learning mechanism that is highly adaptable and reasonably efficient involving minimal hardware modification and software reconfiguration for commodity drones.&lt;br/&gt;&lt;br/&gt;This project is supported by the cross-directorate Foundational Research in Robotics program, jointly managed and funded by the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE).&lt;br/&gt;&lt;br/&gt;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.

03/19/2024

03/19/2024

None

Grant

47.041, 47.070

1

4900

4900

2422698

{'FirstName': 'Minghui', 'LastName': 'Zheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Minghui Zheng', 'EmailAddress': 'mhzheng@tamu.edu', 'NSF_ID': '000768814', 'StartDate': '03/19/2024', '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': '144Y', 'Text': 'FRR-Foundationl Rsrch Robotics'}

['2021~137675', '2022~58146', '2023~179835']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422698.xml'}

I-Corps: Translation Potential of a Deep Brain Stimulation of Motor Thalamus to Improve Speech Intelligibility for Dysarthria After Chronic Stroke

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of an assistive neurotechnology device to improve speech and swallowing for patients with motor speech disorders and dysphagia. Currently, there are no existing technologies available to improve muscle weakness associated with dysarthric speech directly. With speech therapy alone, patients with moderate or severe dysarthria may see mild improvements using compensatory strategies but still suffer from impaired speech as oral-motor exercises used in therapy are typically unable to rebuild muscle tone or increase control over weak or paralyzed muscles. Additionally, augmentative and alternative communication devices (text-to-speech synthesizers, alphabet boards, etc.) exist to improve communication, but even when used consistently, do not restore natural speech, can be cumbersome to transport, and have functional limitations (e.g., for speaking over the phone). This technology, however, gives patients increased control over their facial and phonatory muscles and increased range-of-motion in their faces, leading to improved articulation and intelligibility of speech.<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 deep brain stimulation (DBS) of the motor thalamus brain region to enhance muscle activity and restore motor function. The solution uses existing Food and Drug Administration (FDA)-approved stimulation hardware, consisting of an electrode lead and implantable pulse generator to deliver DBS with novel stimulation settings and for the treatment of a new indication in the recovery of speech and swallowing function. Preclinical studies have demonstrated that DBS in the motor thalamus increases muscle activity in the face, arm, and hand of nonhuman primates. DBS of the motor thalamus during pilot testing allowed patients that had motor speech deficits stemming from traumatic brain injuries to generate clearer speech with improved articulation and intelligibility.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/30/2024

04/30/2024

None

Grant

47.084

1

4900

4900

2422703

{'FirstName': 'Elvira', 'LastName': 'Pirondini', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elvira Pirondini', 'EmailAddress': 'elvirap@pitt.edu', 'NSF_ID': '000842450', 'StartDate': '04/30/2024', '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': '2422703.xml'}

Conference: 21st International Fibonacci Conference

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Andrew Pollington', 'PO_EMAI': 'adpollin@nsf.gov', 'PO_PHON': '7032924878'}

This award is to provide partial support for attendees of The 21st International Fibonacci Conference which will run from July 8th to 12th, 2024 at Harvey Mudd College in California. Fibonacci numbers in particular and recurrence relations in general arise in many areas. Thus there are many colleagues at all levels, from R1 institutions to teaching colleges to general scientists, working on problems in the field. The goal is to provide an inviting avenue for people to present their work and meet other interested parties. By bringing together a diverse group of researchers and practitioners we expect, as has happened in previous years, to have a productive meeting where several vantage points are provided to researchers to help suggest approaches and related problems; based on successes from previous conferences we expect many new collaborations to form. We have expanded topics from previous years to include applications in mathematical biology, music, and secondary education to excite the next generation of students. Run by the Fibonacci Association, many of the talks will be recorded and made publicly available, and papers related to the talks will be published as a conference proceedings as a special issue of the Fibonacci Quarterly.<br/><br/>With two sessions each day which can be attended in person or by zoom, speakers will discuss their work in 20 minute talks. Topics range from applications to $L$-functions to graph theory to combinatorial games to mathematics education to music to expanded predator-prey models in mathematical biology. There will also be 1-2 problem sessions where researchers will discuss both problems related to their talks as well as accessible topics for young researchers; the goal is to build research groups with senior personnel mentoring the large number of young mathematicians in attendance. For more information see:<br/>https://21stinternationalfibonacciconference.wordpress.com/ .<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/05/2024

06/05/2024

None

Grant

47.049

1

4900

4900

2422706

{'FirstName': 'Steven', 'LastName': 'Miller', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Steven J Miller', 'EmailAddress': 'sjm1@williams.edu', 'NSF_ID': '000179517', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Williams College', 'CityName': 'WILLIAMSTOWN', 'ZipCode': '012672600', 'PhoneNumber': '4135974352', 'StreetAddress': '880 MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MA01', 'ORG_UEI_NUM': 'JVZEJJ6N5EM8', 'ORG_LGL_BUS_NAME': 'PRESIDENT & TRUSTEES OF WILLIAMS COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Harvey Mudd College', 'CityName': 'Claremont', 'StateCode': 'CA', 'ZipCode': '917115901', 'StreetAddress': '301 Platt Blvd', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_PERF': 'CA28'}

{'Code': '126400', 'Text': 'ALGEBRA,NUMBER THEORY,AND COM'}

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422706.xml'}

Conference: Biochemical and Molecular Engineering XXIII

NSF

07/01/2024

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': 'Steven Peretti', 'PO_EMAI': 'speretti@nsf.gov', 'PO_PHON': '7032924201'}

The 23rd International Conference on Biochemical and Molecular Engineering (BME XXI) will be held in Dublin, Ireland from July 21-25, 2024. The conference will emphasize accelerating biochemical/biotechnology solutions to address emerging threats to humanity including climate change, disease, inequity, biosecurity. The meeting addresses the mission of NSF, which has been increasingly committed to integrating the engineering sciences with the life sciences, encouraging research and development in multidisciplinary areas, educating the next generation of young scientists, and supporting cutting edge science to answer current and future challenges as well as making sure US-based scientists are globally engaged. <br/><br/>The conference is a unique forum to bring together intellectual leaders from across the globe and across a broad sampling of cutting-edge research areas that impact biochemical engineering. The topics for discussion will include (1) Applications of AI to Biotechnology, (2) Automation in Biomanufacturing, (3) Sustainability, (4) Building the Biomanufacturing Workforce, (5) Democratizing Access to Biotechnology, and (6) Biosecurity. The conference will generate a publication addressing the state of the art and dictions for future development in these 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.

05/21/2024

05/21/2024

None

Grant

47.041

1

4900

4900

2422707

[{'FirstName': 'Michelle', 'LastName': "O'Malley", 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Michelle A O'Malley", 'EmailAddress': 'momalley@engineering.ucsb.edu', 'NSF_ID': '000623037', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Brian', 'LastName': 'Pfleger', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brian F Pfleger', 'EmailAddress': 'pfleger@engr.wisc.edu', 'NSF_ID': '000518119', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'Engineering Conferences International, Inc.', 'CityName': 'NEW YORK', 'ZipCode': '100176544', 'PhoneNumber': '2125146760', 'StreetAddress': '369 LEXINGTON AVENUE 3RD FLOOR #', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'DB5QZX5KYP83', 'ORG_LGL_BUS_NAME': 'ENGINEERING CONFERENCES INTERNATIONAL INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Engineering Conferences International, Inc.', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100176544', 'StreetAddress': '369 LEXINGTON AVENUE 3RD FLOOR #389', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}

{'Code': '149100', 'Text': 'Cellular & Biochem Engineering'}

2024~99950

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422707.xml'}

Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes

NSF

11/01/2023

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Henrietta Edmonds', 'PO_EMAI': 'hedmonds@nsf.gov', 'PO_PHON': '7032927427'}

This project will investigate how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer. Investigators will participate in K-12 and outreach activities to increase awareness of the project and related science. The project will fund the work of six graduate and eight undergraduate students across five institutions, furthering NSF’s goals of education and training. <br/><br/>Motivated by preliminary observations of unexplained, tightly-correlated DON and dissolved iron concentrations across the West Florida Shelf (WFS), the proposed work will quantify the flux and isotopic signatures of submarine groundwater discharge (SGD)-derived DON and iron to the WFS, and evaluate the bioavailability of this temporally-variable source using four seasonal near-shore campaigns sampling offshore groundwater wells, estuarine, and riverine endmembers and two cross-shelf cruises. The work will evaluate whether SGD stimulates nitrogen fixation on the WFS, and the potential for the stimulated nitrogen fixation to further modify the chemistry of DON and dissolved iron in the region. The cross-shelf cruises will investigate hypothesized periods of maximum SGD and Trichodesmium abundance (June), and reduced river discharge and SGD (February), thus comparing two distinct biogeochemical regimes. The concentrations and isotopic compositions of DON and dissolved iron, molecular composition of DON, and the concentration and composition of iron-binding ligands will be characterized. Nitrogen fixation rates and Trichodesmium spp. abundance and expression of iron stress genes will be measured. Fluxes of DON and iron from SGD and rivers will be quantified with radium isotope mass balances. The impacts of SGD on nitrogen fixation and DON/ligand production will be constrained with incubations of natural phytoplankton communities with submarine groundwater amendments. Two hypotheses will be tested: 1) SGD is the dominant source of bioavailable DON and dissolved iron on the WFS, and 2) SGD-alleviation of iron stress changes the dominant Trichodesmium species on the WFS, increases nitrogen fixation rates and modifies DON and iron composition. Overall, the work will establish connections between marine nitrogen and iron cycling and evaluate the potential for coastal inputs to modify water along the WFS before export to the Atlantic Ocean. This study will thus provide a framework to consider these boundary fluxes in oligotrophic coastal systems and the relative importance of rivers and SGD as sources of nitrogen and iron in other analogous locations, such as coastal systems in Australia, India, and Africa, where nitrogen fixation and SGD have also 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.

03/21/2024

03/21/2024

None

Grant

47.050

1

4900

4900

2422709

{'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': '03/21/2024', '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': '167000', 'Text': 'Chemical Oceanography'}

2022~194356

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422709.xml'}

Travel: NSF Student Travel Grant for 2024 IEEE Computer Society International Symposium on VLSI (IEEE ISVLSI)

NSF

06/01/2024

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

This award is to assist US-based graduate students to attend the 2024 IEEE Computer Society International Symposium on Very Large Scale Integration (IEEE ISVLSI) in Knoxville, Tenn. Participation in IEEE ISVLSI and similar conferences are valuable and important activities of the graduate school experience. It provides students with the opportunity to interact with more senior researchers, and exposes students to leading work and practical industry practices in this important area of research. The long-term merits of this program's impact on very large scale integration within computing research are well established.<br/><br/>The conference will be held from July 1-3, 2024, will span three days and will consist of technical paper presentations, panels, posters, and a student research forum. It will also feature keynote speeches from leading researchers and practitioners in the field.<br/><br/>Student travel to conferences is an important activity. Funds will be dispersed with preference given to students who would not otherwise be able to attend the conference and students who are not already scheduled to present a paper, paying particular attention to diversity and relevance of the student's research interest.<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

47.070

1

4900

4900

2422711

{'FirstName': 'Saraju', 'LastName': 'Mohanty', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Saraju P Mohanty', 'EmailAddress': 'saraju.mohanty@unt.edu', 'NSF_ID': '000482976', 'StartDate': '06/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '735400', 'Text': 'CSR-Computer Systems Research'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422711.xml'}

Collaborative Research: US GEOTRACES GP-17-OCE: Molecular speciation of trace element-ligand complexes in the South Pacific Ocean

NSF

10/01/2023

07/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Elizabeth Canuel', 'PO_EMAI': 'ecanuel@nsf.gov', 'PO_PHON': '7032927938'}

All microscopic life in the ocean requires iron to grow and to thrive. This iron is supplied by dust that is carried from land out across the ocean by strong winds, or by volcanic activity deep within the ocean. However, large areas of the ocean are very remote from both land and deep-sea volcanic activity, and the amount of iron that reaches these areas is quite small. In these regions microscopic life is often limited by the very low concentrations of iron that characterize this environment. To use iron, microbes must first extract it from seawater. To do this, some microbes have the ability to manufacture unique organic compounds called siderophores that are specifically designed to capture iron from seawater and transport it into the cell. The presence of siderophores in seawater acts as a signal to know where in the ocean iron may be limiting microbial productivity.<br/><br/>US GEOTRACES program is a cooperative, multi-investigator effort to make high quality, high-resolution measurements of metal concentrations across representative sections of major ocean basins. GEOTRACES data will serve as a benchmark against which future measurements, made as the ocean responds to climate change, can be referenced. Most biologically important metals in the ocean are bound to organic compounds such as siderophores, and the goals of our project are to identity and measure these metal-organic complexes at the molecular level on a section across the South Pacific and Southern Oceans between Tahiti and Antarctica. The section will consist of ~ 30 evenly spaced sites where samples of seawater will be collected from the surface to the bottom of the ocean. Trace-metal organic complexes will be extracted from these samples and analyzed in the laboratory for iron, copper, cobalt, nickel, zinc, manganese, and iodine containing complexes. The molecular identities, concentrations and water column distributions of these complexes will be determined and used to assess how microbes acquire and use trace metals and other nutrients. In parallel, select samples will also be collected and analyzed for microbial genomes to provide information on which classes of microbes manufacture and use siderophores to acquire iron. Data will be archived in national and international databases. The project activities will help train the next generation of marine scientists and inform the public about how science can inform us about the ocean.<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.

03/05/2024

03/05/2024

None

Grant

47.050

1

4900

4900

2422713

{'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': '03/05/2024', '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': '167000', 'Text': 'Chemical Oceanography'}

2021~74010

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422713.xml'}

Conference: Microbiome Data Management in Action, June 12-13, 2024, Atlanta, GA

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Mamta Rawat', 'PO_EMAI': 'mrawat@nsf.gov', 'PO_PHON': '7032927265'}

The proposed workshop entitled Microbiome Data Management in Action, will bring together key decision makers in microbiome science to discuss recent progress and challenges, and suggest recommendations and paths forward for environmental microbiome data management. This workshop aims to advance microbiome science through coordinated data management across researchers, funders, data repositories, and publishers. The event will also bring together diverse microbiome science stakeholders that represent the interdisciplinary nature of microbiome research, including ecologists, data scientists, modelers, microbiologists, and bioinformaticians, with this group of invitees including groups underrepresented in science and engineering. In close coordination with the organizers of the American Society for Microbiology: Microbe conference, we have arranged for this workshop to take place in Atlanta, Georgia on June 12-13, 2024. This workshop will be the first of its kind with participants tasked with identifying local and national priorities and forming a strategy for implementation of environmental microbiome data management best practices across the microbiome research ecosystem. Results of this proposed workshop will form the basis of a formalized checklist to be implemented across journals and repositories for microbiome data management and these best practices will drive scientific innovation now and in years to come as this data continues to be used in large-scale models and machine learning efforts. Environmental microbiome research has demonstrated its importance to ecosystem health, food security, and climate change, and the outcomes of this workshop will directly contribute to furthering our collective understanding of these connections. <br/><br/>Data management practices and guidelines across funding agencies, data repositories, and individual laboratories widely vary in their requirements, which can lead to a lack of standardization, the distribution of data that is not reusable, and incorrect citations of reused data, thus limiting the long-term impacts of environmental microbiome datasets. Leveraging the recent ‘Strengthening The Organization and Reporting of Microbiome Studies’ guidelines for human microbiome research, we will convene roughly 50 attendees to outline priorities towards a consensus roadmap to encompass microbiome data standards management across non-human host-associated microbiomes, the environmental sciences, and synthetic communities. This roadmap is intended to be used across laboratories, repositories, funding agencies, and organizations promoting biological data standardization. Workshop participants and their respective institutions and networks will also be encouraged to continue collaborating through follow-on data management implementation activities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.074

1

4900

4900

2422717

{'FirstName': 'Julia', 'LastName': 'Kelliher', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia Kelliher', 'EmailAddress': 'juliamaekelliher@gmail.com', 'NSF_ID': '000988611', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New Mexico Consortium', 'CityName': 'LOS ALAMOS', 'ZipCode': '875442587', 'PhoneNumber': '5054124200', 'StreetAddress': '4200 W JEMEZ RD STE 301', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Mexico', 'StateCode': 'NM', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'NM03', 'ORG_UEI_NUM': 'TUMCX1C2C4B3', 'ORG_LGL_BUS_NAME': 'NMC, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New Mexico Consortium', 'CityName': 'LOS ALAMOS', 'StateCode': 'NM', 'ZipCode': '875442587', 'StreetAddress': '4200 W JEMEZ RD STE 301', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Mexico', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'NM03'}

[{'Code': '047Y00', 'Text': 'Plant-Biotic Interactions'}, {'Code': '084Y00', 'Text': 'IIBR: Infrastructure Innovatio'}, {'Code': '112700', 'Text': 'Evolutionary Processes'}, {'Code': '112800', 'Text': 'Population & Community Ecology'}, {'Code': '132900', 'Text': 'Plant Genome Research Project'}, {'Code': '737400', 'Text': 'Systematics & Biodiversity Sci'}, {'Code': '738100', 'Text': 'Ecosystem Science'}, {'Code': '765600', 'Text': 'Symbiosis Infection & Immunity'}, {'Code': '765700', 'Text': 'Integrtv Ecological Physiology'}, {'Code': '801100', 'Text': 'Systems and Synthetic Biology'}]

2024~100000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422717.xml'}

Travel: Inclusion@RSS 2024

NSF

06/01/2024

05/31/2026

{'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': 'Juan Wachs', 'PO_EMAI': 'jwachs@nsf.gov', 'PO_PHON': '7032928714'}

This project supports travel for United States students from traditionally underrepresented groups in robotics, and in early stages of their careers, to participate in the Robotics: Science and Systems (RSS) conference, along with its associated workshops taking place in Delft, Netherlands, Jul 15-19, 2024. The students will be mentored virtually by senior researchers to prepare them prior to the conference. They will also be paired with senior researchers attending the conference to receive one-on-one mentorship throughout the conference events. By exposing early career researchers from underrepresented groups in robotics to this type of intellectual environment, they will be better able to situate themselves in the field and gain better ideas for the type and quality of research required to have an impact in the field.<br/><br/>This project supports travel for students in robotics. The recipients of these travel grants will complete post-conference surveys to assess the value of attending the conference. The responses will be analyzed to help shape future travel awards. The primary goal of the program is to increase the number of new conference participants from traditionally underrepresented groups in robotics in order to broaden the pool of future robotics researchers to a more diverse set of backgrounds than is currently typical among robotics researchers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.070

1

4900

4900

2422749

{'FirstName': 'Kaiyu', 'LastName': 'Hang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kaiyu Hang', 'EmailAddress': 'kaiyu.hang@rice.edu', 'NSF_ID': '000849270', 'StartDate': '05/29/2024', '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': '144Y00', 'Text': 'FRR-Foundationl Rsrch Robotics'}

2024~33000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422749.xml'}

CAREER: Next-Generation Flow Cytometry - A New Approach to Cell Heterogeneity

NSF

04/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John C. Jewett', 'PO_EMAI': 'jjewett@nsf.gov', 'PO_PHON': '7032925373'}

Metabolism is the biochemical process that supplies energy, molecular building blocks, and chemical signals to control cellular functions essential for life. With this award, the Chemistry of Life Processes Program in the Chemistry Division is funding Dr. Ku-Lung (Ken) Hsu from the University of Virginia to investigate how individual cells control the metabolism of fats and lipids. Dr. Hsu is developing novel chemical compounds that attach to enzymes (protein catalysts) to probe the metabolism of fats and lipids inside of cells. These probes illuminate how cells are similar or distinct based on their metabolic status. Uncovering distinctive metabolic identities within a massive assortment of cells shows how seemingly identical cells differentiate into specific cell types (e.g. a nerve versus a muscle cell). The metabolic signals discovered through these studies may enable the development of new cell types or properties to push the boundaries of cell engineering. Graduate students receive unique training in chemistry and chemical biology to foster their development as outstanding leaders and role models in society. The research project is integrated with an educational outreach program designed to broadly impact Native American students communities by teaching how lipid (bio)chemistry influences healthy food choices and eating behaviors in society.<br/><br/>This research program aims to understand metabolic regulation of cellular function at the single-cell level. The significance of the studies is to establish a fundamental understanding of how identical cells differentiate into functionally distinct cell lineages. The hypothesis is that metabolism imparts asymmetry by providing essential chemical signals that specify a cell's function and fate. Small molecule reporters are integrated with flow cytometry for massively parallel analysis of dynamic metabolic regulation across millions of live cells with unprecedented molecular resolution. Establishing metabolism as a mechanism for asymmetrical specification of cell biology reveals completely new cell phenotypes and has broader impacts in cell biology and engineering. Thus, the research studies are foundational for establishing chemical probes for single-cell analysis that can be combined with modern "omics" methods to open new opportunities for probing cellular function with high resolution.<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.

03/20/2024

03/20/2024

None

Grant

47.049

1

4900

4900

2422750

{'FirstName': 'Ku-Lung', 'LastName': 'Hsu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ku-Lung Hsu', 'EmailAddress': 'ken.hsu@austin.utexas.edu', 'NSF_ID': '000684332', 'StartDate': '03/20/2024', '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': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}, {'Code': '688300', 'Text': 'Chemistry of Life Processes'}]

2020~316710

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422750.xml'}

Conference: Research at High Pressure GRC and GRS: Exploring Matter Beyond Equilibrium

NSF

05/15/2024

10/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Mun Chan', 'PO_EMAI': 'mchan@nsf.gov', 'PO_PHON': '7032927104'}

This award from the Condensed Matter Physics program supports the attendance of early career scientists and students at the 2024 Gordon Research Conference (GRC) and Gordon Research Seminar on Research at High Pressure, with an emphasis on Exploring Matter Beyond Equilibrium. The biennial GRC brings together world experts and young scientists in a broad range of fields. Sessions on matter out of equilibrium, hydrides, the deep Earth, the machine learning revolution in materials computation, new experimental probes, and astrophysics will be held. A novel feature will be a session highlighting the technological applications of high-pressure research – for example the barocaloric materials for sustainable cooling. All the events are designed to provide an opportunity for friendly, yet high-level scientific discussions among participants crossing all levels of experience and influence.<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.

05/10/2024

05/10/2024

None

Grant

47.049

1

4900

4900

2422753

[{'FirstName': 'Timothy', 'LastName': 'Strobel', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Timothy Strobel', 'EmailAddress': 'tstrobel@ciw.edu', 'NSF_ID': '000650052', 'StartDate': '05/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Chris', 'LastName': 'Pickard', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chris J Pickard', 'EmailAddress': 'cjp20@cam.ac.uk', 'NSF_ID': '000997689', 'StartDate': '05/10/2024', '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': '171000', 'Text': 'CONDENSED MATTER PHYSICS'}

2024~9880

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422753.xml'}

Conference: 2024 Post-Transcriptional Gene Regulation Gordon Research Conference and Seminar: The Versatility of RNA in the Living World

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

This award will provide support for the 2024 Gordon Research Conference (GRC) on Post-Transcriptional Gene Regulation titled “The Versatility of RNA in the Living World” as well as its associated Gordon Research Seminar (GRS), “RNA in Gene Regulation and Its Therapeutic Potential”. The GRS (July 13-14) will provide a forum for postdocs and graduate students to present their work and discuss new ideas in the field, and it will include a career mentorship panel. The goal of the GRS is to contribute to the advancement of scientific discovery in RNA biology by creating a collegial, inclusive, and trainee-focused environment to facilitate both scientific and career development of attendees. The five-day GRC program (July 14-19) will include talks from trainees, early stage, and senior scientists in RNA biology, all of whom are at the cutting-edge of the post-transcriptional gene regulation field. In addition, the GRC will include a Power Hour that specifically addresses issues related to increasing participation and retention of broad and diverse talent in STEM fields. Attendance at the GRC and GRS will be capped at 200 and 70 attendees, respectively. This small conference size will help to ensure that there is ample opportunity for open discussion and meaningful interactions among the participants that propel new insights into post-transcriptional gene regulation.&lt;br/&gt; &lt;br/&gt;All organisms respond to their environment and maintain normal cell behavior through post-transcriptional gene regulation. By regulating gene expression post-transcriptionally through RNA splicing, 3´ end formation, RNA stability, etc., cells establish the proper gene expression patterns required for any given environment. Thus, an understanding of these mechanisms in RNA biology is essential to define both normal and disease states and will be important in developing therapies. For example, the recent history of COVID19 mRNA vaccine development exemplifies how the fundamental RNA biology that drives posttranscriptional gene regulation can broadly impact the human condition. An in-depth understanding of posttranscriptional gene regulation was required for the development of mRNA vaccines. The scientific programs at the Post-Transcriptional Gene Regulation GRC and GRS address cutting-edge topics in the field, including RNA modifications and structure, RNA and disease, and noncoding RNA, among others. Importantly, the science that will be presented at the GRC/GRS is expected to be unpublished work, so that the conferences stimulate discussions on novel ideas and emerging questions, and thus catalyze scientific advances in the field.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/02/2024

04/02/2024

None

Grant

47.074

1

4900

4900

2422760

[{'FirstName': 'Karla', 'LastName': 'Neugebauer', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karla M Neugebauer', 'EmailAddress': 'karla.neugebauer@yale.edu', 'NSF_ID': '000979961', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Nicholas', 'LastName': 'Conrad', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicholas K Conrad', 'EmailAddress': 'nicholas.conrad@utsouthwestern.edu', 'NSF_ID': '000964268', 'StartDate': '04/02/2024', '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': '1112', 'Text': 'Genetic Mechanisms'}

2024~20775

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422760.xml'}

Planning: GRANTED Planning Grant: Workforce and Network Development to Engage Research (WANDER)

NSF

06/01/2024

01/31/2025

{'Value': 'Standard Grant'}

{'Code': '01060400', 'Directorate': {'Abbreviation': 'O/D', 'LongName': 'Office Of The Director'}, 'Division': {'Abbreviation': 'OIA', 'LongName': 'OIA-Office of Integrative Activities'}}

{'SignBlockName': 'Kimberly Littlefield', 'PO_EMAI': 'klittlef@nsf.gov', 'PO_PHON': '7032924632'}

The purpose of the planning activities entitled “Workforce and Network Development to Engage Research (WANDER)” is to develop a unique model of data collection activities that will inform the development of a project to build workforce capacity to support research at Eastern Washington University (EWU).<br/> <br/>The objectives of WANDER are to (1) build workforce capacity; (2) conduct data collection activities about Principal Investigator attitudes toward grant-seeking, perceptions of EWU’s sponsored programs office, desires for increased research support, and/or other institutional sponsored programs models; (3) develop internal networks with stakeholders in EWU’s sponsored programs’ primary ecosystem; and (4) develop external networks with other sponsored programs offices at institutions of higher education in the Pacific Northwest. The project will address research administration culture by giving primacy to listening and pursuing knowledge in institutional contexts. WANDER will collect data and knowledge from its own institution, as well as others, about all areas of opportunity in research administration.<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

47.083

1

4900

4900

2422765

[{'FirstName': 'Joanna', 'LastName': 'Joyner-Matos', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joanna Joyner-Matos', 'EmailAddress': 'jmatos@ewu.edu', 'NSF_ID': '000531081', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Anna', 'LastName': 'Frost', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anna Frost', 'EmailAddress': 'afrost8@ewu.edu', 'NSF_ID': '000952469', 'StartDate': '05/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Eastern Washington University', 'CityName': 'CHENEY', 'ZipCode': '990042445', 'PhoneNumber': '5093596567', 'StreetAddress': '319 SHOWALTER HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'WA05', 'ORG_UEI_NUM': 'QL3XATN9H6L1', 'ORG_LGL_BUS_NAME': 'EASTERN WASHINGTON UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Eastern Washington University', 'CityName': 'Cheney', 'StateCode': 'WA', 'ZipCode': '990041619', 'StreetAddress': '526 5th Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'WA05'}

{'Code': '221Y00', 'Text': 'GRANTED'}

2024~99956

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422765.xml'}

Relaxation and Dissociation Dynamics of Anionic and Neutral Species Studied by Extreme Ultraviolet Time-resolved Photoelectron Spectroscopy of Flat Liquid Jets

NSF

07/01/2024

06/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John Papanikolas', 'PO_EMAI': 'jpapanik@nsf.gov', 'PO_PHON': '7032928173'}

With support from the Chemical Structure, Dynamics, and Mechanisms A (CSDM-A) program in the Division of Chemistry, Professor Daniel Neumark of the University of California, Berkeley will use time-resolved photoelectron spectroscopy to watch the relaxation and dissociation of a solvated molecule that occurs following photon absorption. In photoelectron spectroscopy, a high-energy photon is used to detach one of the electrons in a molecule, and the velocity of the departing electron contains information about the molecular energy states at the instant of ejection. The method can be applied to any molecule and has been used to great effect in the study of isolated gas phase molecules for decades. However, analogous studies in liquids are considerably more challenging since the surrounding solvent could interfere with motion of the departing electron. Professor Neumark and his students will pass the solutions through liquid jets, which will enable the study of solvated molecules using time-resolved photoelectron spectroscopy. Their approach has the potential to address the origin and mechanism of photostability in molecules including DNA constituents, which have strong UV absorption yet do not dissociate. The project will also contribute to the development of a diverse scientific workforce by providing research opportunities for graduate students, undergraduates, and postdoctoral scholars.<br/> <br/>Under this award, photoexcited anionic and neutral solutes in flat liquid jets will be studied by the UC-Berkeley team using time-resolved extreme ultraviolet (XUV) photoelectron spectroscopy. Femtosecond ultraviolet (UV) pump and XUV probe pulses will excite the solute and then follow its dynamics by measuring the photoelectron spectrum as a function of UV/XUV delay. Experiments will be carried out using probe photon energies of 22 eV and 90 eV. Light at 22 eV serves as a universal valence ionization probe; one can ionize valence electrons from initially excited electronic states and from any electronic states populated by subsequent relaxation. Target systems of these experiments are the phenolate and nitrophenolate anions as well as the neutral species indole and tryptophan. At 90 eV, one can photoionize I(4d) core electrons and thus monitor time-dependent chemical shifts in the photodissociation of iodine-containing species. Experiments at 90 eV will first be carried out on aqueous iodide anions in order to track energies and solvent relaxation upon excitation of the charge-transfer-to-solvent band of iodide at 240 nm. Experiments on photoexcited iodobenzene and iodophenolate at both probe energies will probe the competition between relaxation within the manifold of valence states on the aromatic ring and dissociation to iodine atoms or iodide anions. Such experiments, if successful, will serve to significantly extend the range of experiments available to photoelectron spectroscopy, giving valuable information about chemical dynamics and solvent effects in the condensed phase.<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.

05/15/2024

05/15/2024

None

Grant

47.049

1

4900

4900

2422769

{'FirstName': 'Daniel', 'LastName': 'Neumark', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel M Neumark', 'EmailAddress': 'dneumark@berkeley.edu', 'NSF_ID': '000299248', 'StartDate': '05/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Berkeley', 'CityName': 'BERKELEY', 'ZipCode': '947101749', 'PhoneNumber': '5106433891', 'StreetAddress': '1608 4TH ST STE 201', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'CA12', 'ORG_UEI_NUM': 'GS3YEVSS12N6', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Berkeley', 'CityName': 'Berkeley', 'StateCode': 'CA', 'ZipCode': '947201460', 'StreetAddress': 'B64 Hildebrand Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}

{'Code': '910100', 'Text': 'CSD-Chem Strcture and Dynamics'}

2024~600000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422769.xml'}

BRITE Relaunch: Examining the Role of Mechanotransduction in Smooth Muscle Cell Phenotype Modulation

NSF

10/01/2023

12/31/2024

{'Value': 'Standard Grant'}

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

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

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).<br/><br/>The vascular smooth muscle cells (VSMCs) that make up one of the layers of arteries exhibit two distinct types: contractile and synthetic. Contractile VSMCs regulate blood pressure in the artery by contracting or relaxing. However, they can revert into the synthetic type in response to an injury to the blood vessel. Synthetic VSMCs are responsible for synthesis of replacement cells and secretion of substances that are needed for vessel healing. This Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE) Relaunch project has hypothesizes that a third type of VSMCs exists, and the change in the cells to this third type is caused by stretch within the vascular tissue. It is further hypothesized that this change to the third type of VSMC happens through a signaling pathway known as Wnt. Through this pathway, the VSMCs become bone-like cells and deposit mineral (calcium) into the arterial tissue that surrounds the cells, the extracellular matrix. The mechanical changes leading to this potential third phenotype are caused by hypertension, known as the silent killer. By understanding the signaling pathway associated with this change in the behavior of VSMCs, future research can be supported to develop targeted therapeutics to treat vascular calcification (i.e., hardening of the arteries) at the cellular and molecular level. This work could drive future research that will reduce the severity of heart disease complications experienced by patients and reduce the costs of treating high-risk patients. This project will also increase the participation of students from underrepresented groups in research -- in particular, first-generation, low-income students. <br/><br/>This project will advance knowledge by investigating the hypothesis that the continued plasticity of VSMCs to a third phenotype is caused by mechanical strain activating the canonical Wnt signaling pathway. An in vitro vascular calcification model will be used to examine the role of mechanotransduction in VSMC phenotype changes. This project will: 1) investigate the activation of a Wnt signaling pathway in synthetic VSMCs; 2) examine the impact of surface mechanics on the activation of phenotypic modulation via the Wnt signaling pathway; and 3) examine the phenotypic modulation of VSMCs under mechanical strain. This mechanical loading will mimic the physiological exposure of VSMCs to increased stretch due to hypertension, which is then hypothesized to cause a response within the tissue to increase its stiffness through calcification and return the range of strains to a tissue-specific homeostatic level. This mechanical transduction response is known to occur in most biological tissues, including in bone.<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.

03/22/2024

03/22/2024

None

Grant

47.041

1

4900

4900

2422794

{'FirstName': 'Chartrisa', 'LastName': 'Hendrix', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chartrisa L Hendrix', 'EmailAddress': 'hendric5@ucmail.uc.edu', 'NSF_ID': '000727398', 'StartDate': '03/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Cincinnati Main Campus', 'CityName': 'CINCINNATI', 'ZipCode': '452202872', 'PhoneNumber': '5135564358', 'StreetAddress': '2600 CLIFTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'OH01', 'ORG_UEI_NUM': 'DZ4YCZ3QSPR5', 'ORG_LGL_BUS_NAME': 'CINCINNATI UNIV OF', 'ORG_PRNT_UEI_NUM': 'DZ4YCZ3QSPR5'}

{'Name': 'University of Cincinnati Main Campus', 'CityName': 'CINCINNATI', 'StateCode': 'OH', 'ZipCode': '452202872', 'StreetAddress': '2600 CLIFTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'OH01'}

{'Code': '192Y00', 'Text': 'BRITE-BoostRschIdeasTransEquit'}

2021~250661

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422794.xml'}

Travel Grant: Enabling Faculty at Under-Resourced Primarily Undergraduate Institutions to Attend the 2024 Fall American Geophysical Union (AGU) Annual Meeting

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Nicholas Anderson', 'PO_EMAI': 'nanderso@nsf.gov', 'PO_PHON': '7032924715'}

This award will initiate a Travel Grant program for faculty from typically under-resourced institutions, such as Emerging Research Institutions (ERIs), Minority Serving Institutions (MSIs), and community colleges. Faculty at these institutions often have higher teaching loads and do not have access to significant travel funds, making it more difficult for them to attend scientific conferences. Attendance at conferences allows faculty to establish connections to other researchers and bring back the latest innovations in research and teaching to their classrooms.&lt;br/&gt;&lt;br/&gt;The American Geophysical Union’s (AGU’s) Fall Meeting is a large gathering of Geoscience professionals, with &gt;22,000 attendees from 100+ countries. This award will initiate a Travel Grant program for up to 50 early-to-mid career faculty from under-resourced institutions to attend the 2024 Fall AGU meeting. The application process will be similar to the current AGU student travel program and advertising for the program will be conducted across multiple avenues. In addition to a travel stipend, the travel grant awardees will have the opportunity to participate in a professional development workshop, networking and social events, co-chair sessions at the conference, and review student presentations. There will be pre- and post-event evaluation surveys and one or more journal articles will result from the award.&lt;br/&gt;&lt;br/&gt;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.

03/25/2024

03/25/2024

None

Grant

47.050

1

4900

4900

2422805

[{'FirstName': 'Billy', 'LastName': 'Williams', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Billy M Williams', 'EmailAddress': 'bwilliams@agu.org', 'NSF_ID': '000721142', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kusali', 'LastName': 'Gamage', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kusali Gamage', 'EmailAddress': 'kgamage@austincc.edu', 'NSF_ID': '000678264', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kristen', 'LastName': 'St John', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kristen St John', 'EmailAddress': 'stjohnke@jmu.edu', 'NSF_ID': '000192355', 'StartDate': '03/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'James Madison University', 'CityName': 'HARRISONBURG', 'ZipCode': '228013104', 'PhoneNumber': '5405686872', 'StreetAddress': '800 S MAIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'VA06', 'ORG_UEI_NUM': 'MVTKSCN6NMH3', 'ORG_LGL_BUS_NAME': 'JAMES MADISON UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U2B3MYZP5L43'}

{'Name': 'James Madison University', 'CityName': 'HARRISONBURG', 'StateCode': 'VA', 'ZipCode': '228013104', 'StreetAddress': '800 S MAIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'VA06'}

[{'Code': '1642', 'Text': 'Special Initiatives'}, {'Code': '5418', 'Text': 'OCE SPECIAL PROGRAMS'}, {'Code': '7222', 'Text': 'XC-Crosscutting Activities Pro'}]

2024~100000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422805.xml'}

I-Corps: Translation Potential of Using Generative Artificial Intelligence (AI) and Data Analytics to Enhance STEM Course Success through Data-driven Dashboards

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 software platform to broaden participation in science, technology, engineering, and math (STEM) and increase the number of STEM professionals. Currently, as the demand for STEM professionals continues to grow, there is a focus on STEM education models that promote equity and broaden the participation of underrepresented groups in STEM. The implementation of these initiatives often faces significant challenges due to limited resources. This technology aims to support programs that improve student success in STEM courses by automating workflows and providing data analytics with the goal of streamlining processes for students, faculty, and administrators. In addition, the platform may offer a solution for building and sustaining STEM programs and enhancing student outcomes, particularly for minority-serving institutions, leading to more efficient and effective teaching and learning practices and support for students completing their STEM degrees. Overall, this technology may contribute to the development of a diverse and skilled STEM workforce.<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 software as a service (SaaS) platform that integrates evidence-based pedagogical STEM education models with artificial intelligence (AI) tools. The platform facilitates data analysis and workflow automation to expand student access to STEM opportunities. The technology is based on a STEM pedagogical model focused on learning environments rich in social interactions, which have been shown to improve student retention and success in STEM courses. Prior research across institutions has shown that peer support is associated with increased course pass rates, specific practices associated with students’ disciplinary identity (a predictor of persistence), and metacognitive awareness (a predictor of course performance). The platform is designed to support faculty-student interactions through AI-driven tools for content knowledge and pedagogical practice. By leveraging these technologies, the goal is to develop a scalable solution that can be broadly adopted to foster inclusive and effective STEM learning environments. In addition, this project may advance the understanding of how technology can contribute to developing a diverse STEM workforce by democratizing access to quality STEM education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.084

1

4900

4900

2422819

{'FirstName': 'Hagit', 'LastName': 'Kornreich-Leshem', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hagit Kornreich-Leshem', 'EmailAddress': 'hkornrei@fiu.edu', 'NSF_ID': '000690660', 'StartDate': '06/17/2024', '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': '2422819.xml'}

FW-HTF-RL: Collaborative Research: The Future of Remanufacturing: Human-Robot Collaboration for Disassembly of End-of-Use Products

NSF

01/01/2024

12/31/2024

{'Value': 'Standard Grant'}

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

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

This Future of Work at the Human Technology Frontier (FW-HTF) project will advance effective human-robot collaboration (HRC) to reduce electronics remanufacturing costs and improve operator safety, while considering the highly complex unstructured nature of the remanufacturing environment. Scarcity of resources, environmental regulations, and potential profits from salvaging valuable materials and components have motivated consideration of end-of-use product recovery and remanufacturing. However there are significant challenges related to the labor-intensive nature of disassembly, which is an integral part of critical remanufacturing operations such as reuse, repair, maintenance, and recycling. This project focuses on robot-assisted disassembly to increase productivity, while enhancing job satisfaction and ensuring worker safety. Today, disassembly is still a predominantly labor-intensive process that requires direct contact with many elements that are potentially harmful to human health. The research will advance fundamental understanding of the way humans and robots distribute tasks, cooperate, and interact in a safe and complementary manner. Among the expected benefits of the research results are improved quality of life for remanufacturing workers, increased recycling and reduced waste for used electronic materials, the creation of new manufacturing jobs, reduced dependency on foreign sources of strategic materials, and increased stocks of domestically harvested rare earth elements. The multidisciplinary research crosses the boundaries between robotics, sustainable design, human factors, data science, and labor economics, by the joint efforts between the University at Buffalo (UB) and the University of Florida (UF). The research will positively impact engineering education and workforce development through educational and outreach activities such as workshops for K12 students, course development at both institutions, timely training of graduate students, and a set of workshops for industry and academic audiences. <br/><br/>The project is focused on advancing an integrated framework that utilizes the capabilities of both humans and robots in a safe, complementary, and interactive manner, towards designing an economically viable disassembly system for the remanufacturing industry. The research team will perform fundamental studies on collaborative disassembly systems by implementing five interdependent research tasks within the contexts of Future Technology, Future Worker, and Future Work: (1) work environment monitoring with human motion prediction, (2) planning, learning, and control for collaborative robots, (3) disassembly sequence planning under uncertainty and exploring HRC-inspired design guidelines, (4) human-robotics system integration, and (5) modeling and prediction of economic impacts of HRC in remanufacturing environments. Specific knowledge gaps are addressed by mutual interactions among product design guidelines, HRC, occupational safety standards, and remanufacturing labor market. The convergent research approach will allow iteratively adjusted and enhanced collaborative disassembly systems to be implemented in future remanufacturing factories.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/31/2024

None

Grant

47.041

1

4900

4900

2422826

[{'FirstName': 'Minghui', 'LastName': 'Zheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Minghui Zheng', 'EmailAddress': 'mhzheng@tamu.edu', 'NSF_ID': '000768814', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Xiao', 'LastName': 'Liang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiao Liang', 'EmailAddress': 'xliang@tamu.edu', 'NSF_ID': '000795743', 'StartDate': '05/31/2024', 'EndDate': None, 'RoleCode': 'Co-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': '082Y00', 'Text': 'FW-HTF-Adv Cogn & Phys Capblty'}, {'Code': '103Y00', 'Text': 'FW-HTF Futr Wrk Hum-Tech Frntr'}]

2020~989086

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422826.xml'}

Conference: 2024 Catalysis Gordon Research Conference and Gordon Research Seminar

NSF

04/01/2024

09/30/2024

{'Value': 'Standard Grant'}

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

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

The project supports travel of graduate and post-doctoral students, and also early-career assistant professors to the 2024 Gordon Research Conference (GRC) on Catalysis, which will be held on June 16-21, 2024 at Colby-Sawyer College in New London, NH. The GRC meeting is immediately preceded by the associated Gordon Research Seminar (GRS) on Catalysis (June 14-15, 2024), and is designed specifically to engage and support new entrants (primarily Ph.D students and postdoctoral researchers) to the field of catalysis, and to give them the opportunity to build their professional networks. NSF support will aid in implementing four key objectives of the meeting: (1) delivering a strong scientific program focused on the meeting theme, "Advancing Sustainable Technologies through Catalysis"; (2) bringing together a diverse group of speakers, including junior investigators and senior thought-leaders representing industry, academia, and national labs; (3) promoting cross-disciplinary fertilization of ideas in catalysis and sustainability, by exploring common themes related to alternative energy and renewable feedstocks; and (4) creating a sense of community by promoting interactions between prominent senior investigators in the field and early-career researchers - all built around a diverse group of participants.<br/> <br/>The meeting will focus on the dissemination of knowledge by a wide variety of scientists to explore how precise synthesis of materials, advanced characterization techniques, detailed kinetics and advances in theory combine to create new understanding in catalysis as applied to global challenges in energy and the environment. The Catalysis GRS and GRC play an important role in enhancing the development of researchers in early stages of their careers. Beyond the technical aspects, the meeting will directly benefit society by enhancing the knowledge of scientists and educators in catalysis as directed towards advancing sustainable catalytic chemistry – thereby contributing to equitable standards of living while preserving the quality of the environment for future generations.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/29/2024

04/29/2024

None

Grant

47.041

1

4900

4900

2422853

{'FirstName': 'Javier', 'LastName': 'Guzman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Javier Guzman', 'EmailAddress': 'javier.x.guzman@exxonmobil.com', 'NSF_ID': '000997271', 'StartDate': '04/29/2024', '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': '140100', 'Text': 'Catalysis'}

2024~30000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422853.xml'}

CRII: SaTC: Securing Smart Devices with AI-Powered mmWave Radar in New-Generation Wireless Networks

NSF

07/01/2024

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': 'Xiaogang (Cliff) Wang', 'PO_EMAI': 'xiawang@nsf.gov', 'PO_PHON': '7032922812'}

Future networking systems, such as 6G cellular and future Wi-Fi networks, are envisioned to connect billions of heterogeneous smart devices and enable high-speed and low-latency communications using millimeter wave (mmWave) technologies. Instead of focusing on using mmWave for data communication, this project outlines a challenging research plan on exploring, implementing, and evaluating novel mmWave-based sensing techniques for cyber security applications. The project’s novelties are the development of mmWave-based biometrics to defend against more advanced attacks and to respond faster to potential data breaches. The project's broader significance and importance are that the research will help us to gain a fundamental understanding on adopting the mmWave-based sensing techniques for potential security applications. A successful outcome of the research will lead to new biometrics techniques that can provide stronger access control for device and data protection.<br/><br/>The project consists of three parts. The first part is to develop mmLock, a user-leaving detection system by analyzing the mmWave signal reflections from the user body. It can help lock device automatically to prevent data theft when the user is unknowingly away from his/her device. The research will explore and address the challenging scenario of having multiple moving objects simultaneously. The second part investigates a liveliness detection technique by checking the consistency between the user’s head movement pattern extracted from vision analysis and the pattern from the corresponding mmWave data for more secure facial authentication. It has the potential to defend against the most advanced attacks such as 3D projection attack and can work in any lighting conditions. The third effort will implement a prototype system and evaluate its performance with regards to security and usability.<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.

03/19/2024

03/19/2024

None

Grant

47.070

1

4900

4900

2422863

{'FirstName': 'Tao', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tao Li', 'EmailAddress': 'li4270@purdue.edu', 'NSF_ID': '000837389', 'StartDate': '03/19/2024', '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': '806000', 'Text': 'Secure &Trustworthy Cyberspace'}

2023~154507

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2422863.xml'}

Collaborative Research: Conference: Envisioning Open Research Resources for Artificial Intelligence

NSF

04/15/2024

03/31/2025

{'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': 'Varun Chandola', 'PO_EMAI': 'vchandol@nsf.gov', 'PO_PHON': '7032922656'}

As Artificial Intelligence (AI) research becomes more experimental and critical research breakthroughs occur using large amounts of data, the availability of computing for AI research is paramount to new AI innovations. This workshop will identify opportunities to increase the use of advanced computing for AI research. It will highlight how AI researchers currently run large computations while discussing data and computing needs for AI research.<br/><br/>This workshop aims to synthesize requirements for open national infrastructure to support AI research. The workshop will bring together the AI research community and the high-performance cyberinfrastructure community to identify requirements and current challenges for the envisioned open research resources for AI. Discussions will be held concerning AI researchers' current approaches to accessing computing resources and other infrastructure. Participants will also discuss how AI researchers access existing national cyberinfrastructure resources and the possible vocabulary gaps and training needs. Participants will identify community needs for AI research resources and unique requisites that the field of AI presents for cyberinfrastructure. A workshop report will summarize discussions and synthesize initial requirements for computing resources, data, testbeds, and other cyberinfrastructure services to support AI research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/21/2024

04/21/2024

None

Grant

47.070

1

4900

4900

2422866

{'FirstName': 'Shantenu', 'LastName': 'Jha', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shantenu Jha', 'EmailAddress': 'shantenu.jha@rutgers.edu', 'NSF_ID': '000163942', 'StartDate': '04/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Rutgers University New Brunswick', 'CityName': 'NEW BRUNSWICK', 'ZipCode': '089018559', 'PhoneNumber': '8489320150', 'StreetAddress': '3 RUTGERS PLZ', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': 'M1LVPE5GLSD9', 'ORG_LGL_BUS_NAME': 'RUTGERS, THE STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}