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CAREER: Testing Evolving Complex Software Systems

NSF

10/01/2023

05/31/2025

{'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': 'Sol Greenspan', 'PO_EMAI': 'sgreensp@nsf.gov', 'PO_PHON': '7032927841'}

Modern computer systems span a wide range of domains, ranging from consumer electronics (e.g., smart-phones) to safety-critical systems (e.g., avionics). These systems evolve rapidly because the competition for market share pushes developers to come up with new features or improve capabilities over existing ones. These software changes may require hardware replacements or upgrades to capitalize on software upgrade opportunities. As such, developers must ensure that changes do not cause any unintended impact to the existing quality of the systems. Regression testing has been widely used to assess whether changes have adversely affected system behavior. While significant work has been accomplished by the software engineering community in improving effectiveness and efficiency of regression testing, most of the existing techniques focus on traditional software that is environment-independent and non-distributed. Real-world software systems, however, are far more complex: they frequently interact with the environment via hardware devices, and employ various concurrency mechanisms to coordinate interrupts, signals, threads, and processes. These characteristics affect various techniques on which existing regression testing approaches rely. Therefore, applying these approaches may lead to problems during maintenance and thus impair software quality.<br/><br/>The overall goal of this proposal is to create a novel regression testing framework that can be applied to real-world complex software systems, focusing on the hardware dependence and concurrent control characteristics, throughout their lifetimes. Specifically, this research will develop, evaluate, and make available a family of techniques and tools that can: 1) create comprehensive models of the whole system to analyze change impact across hardware and software layers and across concurrent events, 2) retest the systems accordingly using existing test cases, and 3) generate new test cases when needed. The analytical underpinnings of this research will be applicable not only to the software engineering community, but to industry and other disciplines in which software dependability plays an important role. The associated education agenda paves the way for teaching that cross traditional boundaries among multicore computing, embedded systems and software engineering, which may ultimately, through the dissemination of new curricular materials, have impacts to the broader scientific community.

11/17/2023

11/17/2023

None

Grant

47.070

1

4900

4900

2402103

{'FirstName': 'Tingting', 'LastName': 'Yu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tingting Yu', 'EmailAddress': 'tingting.yu@uconn.edu', 'NSF_ID': '000677534', 'StartDate': '11/17/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Connecticut', 'CityName': 'STORRS', 'StateCode': 'CT', 'ZipCode': '062691133', 'StreetAddress': 'STORRS, CT 062691133', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CT02'}

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

2021~103694

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402103.xml'}

Postdoctoral Fellowship: MSPRF: Non-Positively Curved Aspects of Artin Groups and Related Families

NSF

06/01/2024

05/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Katherine Goldman is “Non-Positively Curved Aspects of Artin Groups and Related Families”. The host institution for the fellowship is McGill University and the sponsoring scientist is Piotr Przytycki.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402105

{'FirstName': 'Katherine', 'LastName': 'Goldman', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Katherine M Goldman', 'EmailAddress': None, 'NSF_ID': '000964220', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Goldman, Katherine May', 'CityName': 'Columbus', 'ZipCode': '43120', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_ORG': None, 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'McGill University', 'CityName': 'Montreal', 'StateCode': None, 'ZipCode': 'H3A 0B9', 'StreetAddress': None, 'CountryCode': 'CA', 'CountryName': 'Canada', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': None}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402105.xml'}

Postdoctoral Fellowship: MPS-APRF: : Harnessing Artificial Metalloenzymes for Selective Electrocatalytic Carbon-Carbon Coupling

NSF

07/01/2024

06/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Samy El-Shall', 'PO_EMAI': 'selshall@nsf.gov', 'PO_PHON': '7032927416'}

Kevin E. Rivera Cruz is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship to Dr. Rivera Cruz supports the research project entitled "Postdoctoral Fellowship: MPS-Ascend: Harnessing Artificial Metalloenzymes for Selective Electrocatalytic Carbon-Carbon Coupling" under the mentorship of a sponsoring scientist. The host institution for the fellowship is the University of California – Los Angeles (UCLA), and the sponsoring scientist is Dr. Hannah S. Shafaat.<br/><br/>This proposal intends to develop a new bioelectrocatalytic approach for characterizing carbon–carbon bond-forming reactions by controlling the primary, secondary, and tertiary coordination spheres within protein-based model systems. Preparing model systems that can achieve similar reactivity and selectivity as the parent enzyme system is critically important for understanding the enzyme's reaction mechanism. The proposed work will characterize the reactivity using electrochemical techniques to control the enzyme's active site oxidation state, modulate the secondary coordination sphere to expand substrate reactivity, and control electron transfer by encapsulating the enzyme within redox-active polymers. The research will independently control the primary, secondary, and tertiary coordination spheres surrounding the enzyme's active site and determine the effects of each coordination sphere on the overall catalytic activity. Successful implementation of this work will provide fundamental insights into the parent and model enzyme reaction mechanism and facilitate the development of enzyme-polymer composite approaches to understand redox-mediated activity in small-molecule activation reactions.<br/><br/>The PI intends to increase the participation of historically underrepresented students by recruiting students from Hispanic-serving institutions to conduct undergraduate research, providing mentorship opportunities for underrepresented minority students, and participating in community outreach activities at public events at the University of California—Los Angeles.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/07/2024

05/07/2024

None

Grant

47.049

1

4900

4900

2402112

{'FirstName': 'Kevin', 'LastName': 'Rivera Cruz', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin E Rivera Cruz', 'EmailAddress': None, 'NSF_ID': '000929012', 'StartDate': '05/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Rivera Cruz, Kevin Enrique', 'CityName': 'Ann Arbor', 'ZipCode': '48104', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California - Los Angeles', 'CityName': 'Los Angeles', 'StateCode': 'CA', 'ZipCode': '900951406', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'CA36'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402112.xml'}

An Isotope-Enabled Data Assimilation System for the Last Millennium over South America

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

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

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

The scientific objectives of this project are to: i) quantify the spatiotemporal characteristics of the South American summer monsoon (SASM) and its relationship with the Atlantic Intertropical Convergence Zone during the Little Ice Age; ii) constrain the relative roles of the Pacific zonal sea surface temperature (SST) versus Atlantic meridional SST gradients in influencing the SASM over the Last Millennium (LM); iii) assess the added value of proxy assimilation when compared to the standalone model prior; iv) investigate the role of external forcing vs. internal variability in shaping the monsoon climate over the LM: v) assess the model-dependence of isotope-enabled data assimilation products: and vi) quantify when and how future monsoon projections emerge outside of the historical constraint placed by data assimilation (DA) reconstructions.<br/><br/>Precipitation from SASM is critically important for environmental services that sustain socioeconomic activities, but future changes in monsoon rainfall remain highly uncertain. While the region’s paleoclimatic network has been steadily improving, so far the data has not been harnessed in a quantitative way that would allow putting current and future projected changes in a long-term context. <br/><br/>To address this shortcoming the researchers will develop an isotope-enabled DA product for South America, covering the LM. By creating such an isotope-enabled reconstruction, the researchers seek to diagnose changes in isotopic composition and hydroclimate across the region within a framework that is dynamically and physically consistent.<br/><br/>The potential Broader Impacts include the potential for greater understanding of South American hydro-climate against the backdrop of modern environmental impacts in the region, support for a graduate student and an early-career scientist as a post-doctoral scholar, and outreach 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.

05/08/2024

05/08/2024

None

Grant

47.050

1

4900

4900

2402113

{'FirstName': 'Mathias', 'LastName': 'Vuille', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mathias Vuille', 'EmailAddress': 'mvuille@albany.edu', 'NSF_ID': '000094488', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SUNY at Albany', 'CityName': 'ALBANY', 'ZipCode': '122220100', 'PhoneNumber': '5184374974', 'StreetAddress': '1400 WASHINGTON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_ORG': 'NY20', 'ORG_UEI_NUM': 'NHH3T1Z96H29', 'ORG_LGL_BUS_NAME': 'RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE', 'ORG_PRNT_UEI_NUM': 'NHH3T1Z96H29'}

{'Name': 'SUNY at Albany', 'CityName': 'ALBANY', 'StateCode': 'NY', 'ZipCode': '122220100', 'StreetAddress': '1400 WASHINGTON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '20', 'CONGRESS_DISTRICT_PERF': 'NY20'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~526171

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402113.xml'}

Noninvasive, Ultra-wideband, High Resolution, Near-Field Mapping Using On-Chip CMOS Avalanche Photo-detectors for Receiving Antennas/Arrays and EMC/EMI Compatibility

NSF

06/15/2024

05/31/2027

{'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'}

A groundbreaking broadband probe-based RF and microwave measurement system is introduced, representing a significant advancement in electromagnetic measurement technology. The proposed RF probe acts as point transmitter and has a very small form factor (cross section area less than one square millimeter) fed by an optical fiber and thus is electromagnetically non-invasive. This pioneering technology enables the comprehensive assessment of the electromagnetic response of any receiving system to highly localized applied electric fields, marking the inaugural demonstration of a method capable of experimentally measuring the electromagnetic Green's function of receiver systems. The ability to experimentally measure a system's Green's function would represent a fundamental shift in electromagnetic measurements and characterization, unlocking a multitude of possibilities that were previously cumbersome or unattainable. The proposed probe heralds a new era of experimentation, facilitating endeavors such as: i) Precision measurement of antennas' receiving radiation patterns under any arbitrary incident field, whether in the near- or far-field regions; ii) Identification and localization of manufacturing defects and malfunctioning elements within extensive phased arrays and massive multiple-input multiple-output (MIMO) communication systems, streamlining diagnostics and maintenance; iii) Thorough characterization of electromagnetic interference and compatibility (EMI/EMC) in microwave and millimeter-wave integrated circuits (MMICs) and systems-on-chip (SOCs) with micron-level resolution, enhancing overall system reliability and performance; and iv) Investigation into the effects of RF and microwave radiation on biological tissues, offering high selectivity for applications such as cancer treatment, RF ablation, microwave hyperthermia, and RF dosimetry, thereby advancing medical science and therapy techniques. These examples underscore the broad spectrum of applications and the transformative potential of the proposed probe technology, paving the way for unprecedented advancements in electromagnetic research, engineering, and healthcare.<br/><br/>By strategically maneuvering the localized transmitting probe across the target receiving system and recording receiver output at each excitation point, the system's response to any desired applied electric field can be fully characterized. Comprising three integral subsystems, the proposed measurement probe encompasses an optical modulator and optical fiber to convert the applied RF signal into an intensity-modulated laser light source. At the probe's tip, a series of photo-voltaic cells generate a high reverse bias voltage when illuminated by the optical signal, while an RF avalanche photodiode, also housed within the tip, demodulates the optical signal under the reverse bias from the photovoltaic cells. This process generates a highly localized, robust RF electric field across a miniaturized metallic dipole. Fabricated on a standard 65-nm bulk CMOS process, the probe confines the electric field to an area of 100 µm × 100 µm, achieving field intensities on the order of 10 kV/m. Remarkably versatile, a single probe is capable of measuring system responses from zero to 12 GHz with arbitrary polarization, enhancing its utility across a spectrum of applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/13/2024

06/13/2024

None

Grant

47.041

1

4900

4900

2402114

{'FirstName': 'Kamal', 'LastName': 'Sarabandi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kamal Sarabandi', 'EmailAddress': 'saraband@umich.edu', 'NSF_ID': '000962396', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~450000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402114.xml'}

Collaborative Research: Exploiting Geomagnetic Records to Describe Past and Present Ocean Variability

NSF

10/01/2023

09/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Baris Uz', 'PO_EMAI': 'bmuz@nsf.gov', 'PO_PHON': '7032924557'}

The electrically conducting ocean generates electric currents and associated magnetic fields as it flows through the Earth’s magnetic field. These electric currents vary in time with changes in the ocean’s electrical conductivity and velocity, and can be detected remotely by land and satellite magnetometers. There is therefore an opportunity to recover ocean flow and conductivity variability from magnetometer data. Extracted signals are very useful, as they represent depth integrals of conductivity and conductivity transport, which can stand as proxies for heat content and heat transport over the measurement durations – quantities that have been hard to measure with other methods. Magnetometer data come from hundreds of land magnetic observatories (some with hourly data extending back a century) as well as from modern satellite magnetic surveys. The proposed work will extract past ocean variability from long, land geomagnetic observatory records, develop forward models for predicting the oceanic magnetic fields, and ultimately develop data assimilation strategies for both land and satellite observations. This project will examine both fundamental components of ocean electrodynamics and exploit a new data type for monitoring and understanding ocean variability and steric sea-level changes. The electromagnetic field modules in the model used here will be made publicly available. Workshops will be organized to introduce students and early career scientists to analysis of geomagnetic observatory data and its connection to oceanographic applications.<br/><br/>Extracting oceanic signals from magnetic data is challenging because the signals are relatively weak and a priori knowledge of the signal is required. This proposal demonstrates method feasibility with preliminary work on a century of ocean tidal variability extracted from the Honolulu geomagnetic observatory data. These independent data confirm a trend toward increasing tidal amplitudes previously found in Honolulu tide gauge data that has been attributed to ocean warming. The Honolulu series will be thoroughly analyzed to optimize the extraction of ocean tidal signals. The methods will be extended to extract other predictable ocean signals there, such as inertial oscillations and interannual oscillations. Similar methods will be applied to geomagnetic observatory data from other locations. Extensions will include canonical-correlation multivariate analyses of data from multiple locations as well as from satellite data and geomagnetic field models. Additional tasks will involve the development and use of forward models to calculate the magnetic (and electric) fields given tidal and circulation ocean model flow. Extracted signals represent depth integrals of conductivity and conductivity transport, useful as proxies for heat content and heat transport over the measurement durations – quantities that have been hard to measure with other methods. Thus, in addition to addressing fundamental components of ocean electrodynamics the proposed work will be useful in exploiting a new data type for monitoring and understanding ocean variability and steric sea-level changes.<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.

10/30/2023

10/30/2023

None

Grant

47.050

1

4900

4900

2402116

{'FirstName': 'David', 'LastName': 'Trossman', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David S Trossman', 'EmailAddress': 'david.s.trossman@gmail.com', 'NSF_ID': '000834078', 'StartDate': '10/30/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Maryland, College Park', 'CityName': 'College Park', 'StateCode': 'MD', 'ZipCode': '207420001', 'StreetAddress': '3112 LEE BLDG 7809 REGENTS DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

{'Code': '161000', 'Text': 'PHYSICAL OCEANOGRAPHY'}

2021~78382

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402116.xml'}

Postdoctoral Fellowship: MSPRF: Higher-dimensional Generalizations of Gromov-Witten Theory

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Nolan Schock is “Higher-dimensional Generalizations of Gromov-Witten Theory”. The host institution for the fellowship is The University of Illinois at Chicago and the sponsoring scientist is Izzet Coskun.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.049

1

4900

4900

2402122

{'FirstName': 'Nolan', 'LastName': 'Schock', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nolan J Schock', 'EmailAddress': None, 'NSF_ID': '000901273', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Schock, Nolan Jeffry', 'CityName': 'Chicago', 'ZipCode': '60607', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'IL07', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois at Chicago', 'CityName': 'Chicago', 'StateCode': 'IL', 'ZipCode': '606077045', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'IL07'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402122.xml'}

Positive curvature and torus symmetry

NSF

08/01/2024

07/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Qun Li', 'PO_EMAI': 'qli@nsf.gov', 'PO_PHON': '7032927465'}

As a mathematician faced with a research problem or an educational task, the PI strives to abstract away inessential information, break down complicated structures into simple components, and identify the right tools for the job. In this project, the PI plans to apply methods from disparate fields such as discrete mathematics and homotopy theory to problems in geometry, especially problems involving the impact of symmetry and local curvature conditions on the global shape of high-dimensional objects called manifolds. Crucial to this progress are communication and collaboration with experts from across the country and around the globe whose areas of expertise both overlap and supplement the PI’s. Additional aspects of this project include growing and diversifying the body of students, researchers, and experts in STEM fields who will positively impact the advancement of the research goals of this project, the future of STEM education, and our society’s ability more broadly to tackle difficult scientific problems.<br/> <br/>The PI will analyze local-to-global principles in geometry. Goals involve analyzing the interaction of (local) positive curvature conditions in Riemannian geometry and (global) algebraic topological and symmetric structures. The PI will apply tools from homotopy theory, equivariant cohomology theory, matroid theory, and topological graph theory. These methods have applications in the Grove Symmetry Program but do not use curvature, so this work has the potential to apply in other areas of geometry.<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.

08/01/2024

08/01/2024

None

Grant

47.049

1

4900

4900

2402129

{'FirstName': 'Lee', 'LastName': 'Kennard', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lee T Kennard', 'EmailAddress': 'ltkennar@syr.edu', 'NSF_ID': '000604455', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Syracuse University', 'CityName': 'SYRACUSE', 'ZipCode': '13244', 'PhoneNumber': '3154432807', 'StreetAddress': '900 S CROUSE AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '22', 'CONGRESS_DISTRICT_ORG': 'NY22', 'ORG_UEI_NUM': 'C4BXLBC11LC6', 'ORG_LGL_BUS_NAME': 'SYRACUSE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

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

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

2024~292481

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402129.xml'}

Postdoctoral Fellowship: MSPRF: The Isoperimetric Problem and Geometric Flows on the Heisenberg Group

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Joshua Flynn is “The Isoperimetric Problem and Geometric Flows on the Heisenberg Group”. The host institution for the fellowship is the Massachusetts Institute of Technology and the sponsoring scientist is David Jerison.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402140

{'FirstName': 'Joshua', 'LastName': 'Flynn', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joshua Flynn', 'EmailAddress': None, 'NSF_ID': '000968703', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Flynn, Joshua', 'CityName': 'Montreal', 'ZipCode': 'H3T1J4', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'Canada', 'StateName': None, 'StateCode': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_ORG': None, 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'StateCode': 'MA', 'ZipCode': '021394307', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': None}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402140.xml'}

I-Corps: Virtual Reality Training Platform for Increasing Awareness of Unconscious Bias in Industry Decision-Making

NSF

02/15/2024

01/31/2025

{'Value': 'Standard Grant'}

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

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

The broader impact/commercial potential of this I-Corps project is the development of an innovative training program designed to heighten self-awareness of potential biases in workforce decision making. This product has applications to a host of industries where employees may be subject to biases that can influence decision making outcomes. Practitioners and training facilitators in fields such as health and human services, child and adult welfare agencies, educational institutions, and licensing and accreditation organizations largely recognize the need to better engage with clients from increasingly diverse backgrounds and interests. In response, agencies and educational entities are actively seeking ways to address issues of decision-making bias among professionals. Traditional training (i.e., seminars, written case studies, use of live actors), is typically done in physical spaces, may not be easily accessible, and can therefore be costly. The proposed product can be accessed remotely which lifts many logistical barriers to consumers. By providing evidence to support the efficacy and viability of the product, expected outcomes may include improved practitioner knowledge, skills, and competencies. This will likely enhance service delivery, reduce work related stressors, and decrease workforce challenges with the goal of increasing effectiveness of service delivery and quality of life for the client/customer/employee.<br/><br/>This I-Corps project is based on the development of an evidence-based simulation program to prepare current and future point-of-care/contact professionals (such as welfare workers, health providers, law enforcement officers, public service/first responders, educators, etc.) to become more aware of and responsive to their unconscious bias. This product allows participants to examine potential unconscious biases using real-time simulated virtual experiences. In many industries, clients often engage in systems with professionals who have inadequate training in recognizing unconscious bias in their practice. This lack of awareness, and thus decreased likelihood for responsiveness, increases the risk of negative impacts on decision making. In addition to targeting increased awareness of unconscious bias, this innovative training may also help to reduce workforce turnover, and therefore, the repeated expense of hiring and onboarding new professionals. Given that the impact of unconscious bias in decision making often results in financial cost to organizations, negative service outcomes, and challenges with recruitment/retention, the product offers a potential cost-effective and accessible means to help address numerous pain points.<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.

02/12/2024

02/12/2024

None

Grant

47.084

1

4900

4900

2402141

{'FirstName': 'Kimberly', 'LastName': 'Green', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kimberly J Green', 'EmailAddress': 'kimberly.green@wku.edu', 'NSF_ID': '000971603', 'StartDate': '02/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Western Kentucky University', 'CityName': 'BOWLING GREEN', 'ZipCode': '421011000', 'PhoneNumber': '2707454652', 'StreetAddress': '1906 COLLEGE HEIGHTS BLVD # 1100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Kentucky', 'StateCode': 'KY', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'KY02', 'ORG_UEI_NUM': 'U5GMACGETKJ1', 'ORG_LGL_BUS_NAME': 'WESTERN KENTUCKY UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U5GMACGETKJ1'}

{'Name': 'Western Kentucky University', 'CityName': 'BOWLING GREEN', 'StateCode': 'KY', 'ZipCode': '421011000', 'StreetAddress': '1906 COLLEGE HEIGHTS BLVD #11026', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Kentucky', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'KY02'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402141.xml'}

Postdoctoral Fellowship: AAPF: Predicting the spins of stellar cores and remnants: 3D models of the Tayler-Spruit dynamo

NSF

09/01/2024

08/31/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Hans Krimm', 'PO_EMAI': 'hkrimm@nsf.gov', 'PO_PHON': '7032922761'}

Adrian Fraser is awarded an NSF Astronomy and Astrophysics Fellowship to carry out a program of research and education at the University of Colorado Boulder. Fraser will use novel applied mathematical tools to perform simulations of rotating, magnetized fluids in extreme regimes that approximate the interiors of stars. Results from this study will improve our understanding of how rapidly the cores of stars spin over time, with implications for the explosive deaths of massive stars and the black holes and neutron stars they sometimes leave behind. Fraser will also support a peer mentoring system on campus and extend the mentoring infrastructure to new departments.<br/> <br/>The Tayler-Spruit Dynamo (TSD) is a hypothetical form of turbulence thought to occur in magnetized fluids that are rapidly rotating and strongly stratified, which may help explain why the spinning cores of some stars slow as they contract. Unfortunately, demonstrating the existence of the TSD in simulations remains a challenge because rapid rotation and strong stratification strain the capabilities of typical simulations. To address this, Fraser will leverage recent developments in the geophysical sciences to simulate rapidly rotating fluids, allowing him to explore the efficacy of the TSD in the extreme regimes found in stars. From these simulations, he will construct new models for how the TSD affects the spins of stellar cores, which can then shed light on the spins of the progenitors of transient phenomena and compact remnants.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402142

{'FirstName': 'Adrian', 'LastName': 'Fraser', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adrian E Fraser', 'EmailAddress': None, 'NSF_ID': '000812569', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Fraser, Adrian E', 'CityName': 'Madison', 'ZipCode': '53706', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Colorado Boulder', 'CityName': 'Boulder', 'StateCode': 'CO', 'ZipCode': '803090422', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '160900', 'Text': 'NSF ASTRON & ASTROPHY PSTDC FE'}

2024~110000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402142.xml'}

Postdoctoral Fellowship: MSPRF: Discrete Geometry and Geometric Transversal Theory

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Daniel McGinnis is “Discrete Geometry and Geometric Transversal Theory”. The host institution for the fellowship is Princeton University and the sponsoring scientist is Noga Alon.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

04/22/2024

None

Grant

47.049

1

4900

4900

2402145

{'FirstName': 'Daniel', 'LastName': 'McGinnis', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel A McGinnis', 'EmailAddress': None, 'NSF_ID': '000945483', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'McGinnis, Daniel A', 'CityName': 'Ames', 'ZipCode': '50010', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Iowa', 'StateCode': 'IA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'IA04', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Princeton University', 'CityName': 'Princeton', 'StateCode': 'NJ', 'ZipCode': '085442002', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NJ12'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402145.xml'}

Postdoctoral Fellowship: MSPRF: Lorentzian Properties of Polynomials from Algebra and Topology

NSF

10/01/2024

09/30/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Helena Hafner is “Lorentzian Properties of Polynomials from Algebra and Topology”. The host institution for the fellowship is The University of Washington and the sponsoring scientist is Sara Billey.<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

47.049

1

4900

4900

2402150

{'FirstName': 'Elena', 'LastName': 'Hafner', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elena S Hafner', 'EmailAddress': None, 'NSF_ID': '000964592', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Hafner, Elena S', 'CityName': 'Ithaca', 'ZipCode': '14853', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Washington', 'CityName': 'Seattle', 'StateCode': 'WA', 'ZipCode': '981950001', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Washington', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'WA07'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402150.xml'}

MPS-Ascend: Matthew Yeung, Postdoctoral Fellowship:

NSF

06/01/2024

05/31/2027

{'Value': 'Fellowship Award'}

{'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'}

Matthew Yeung is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship supports the research project entitled MPS-Ascend: Ultrafast Electron Dynamics in Solids under the mentorship of a sponsoring scientist. The host institution for the fellowship is the Massachusetts Institute of Technology, and the sponsoring scientist is Dr. Nuh Gedik<br/><br/>This project aims to elucidate the ultrafast electron dynamics in solids through comprehensive time-frequency characterization. A deeper understanding of the ultrafast electron dynamics in solids will pave the way for more compact and efficient extreme ultraviolet sources, particularly beneficial for applications like nanoscale imaging. The project will utilize PHz field-sensitive detectors to elucidate underlying electron dynamics in solid-state higher-harmonic generation (sHHG). This includes resolving questions about temporal harmonic radiation profiles and the interplay between intra- and interband contributions. In addition, the transition from perturbative to non-perturbative regimes and methods to manipulate electron dynamics through crystal lattice perturbations and photonic structures will be investigated. These pioneering studies will deepen our understanding of ultrafast electron dynamics in solids, shedding light on solid-state higher-harmonic generation mechanism and guiding the manipulation of material properties on sub-femtosecond timescales.<br/><br/>Through this project, the PI anticipates sharing the importance of this work by hosting summer lab visits and summer interns to inspire pre-college students and local community college students, respectively. By sharing personal experiences, the PI aims to encourage students to pursue careers in science, while highlighting alternative pathways to STEM careers. Furthermore, the PI plans to continue contributing to the Communication Lab at MIT, promoting broader dissemination of scientific research to diverse audience<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

47.049

1

4900

4900

2402151

{'FirstName': 'Matthew', 'LastName': 'YEUNG', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew YEUNG', 'EmailAddress': None, 'NSF_ID': '000883678', 'StartDate': '04/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'YEUNG, Matthew', 'CityName': 'Cambridge', 'ZipCode': '02139', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MA08', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402151.xml'}

Postdoctoral Fellowship: MSPRF: Interplay between Ergodic Theory and Number Theory

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Kaitlyn Loyd is “Interplay between Ergodic Theory and Number Theory”. The host institution for the fellowship is the University of Maryland and the sponsoring scientist is Adam Kanigowski.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402158

{'FirstName': 'Kaitlyn', 'LastName': 'Loyd', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kaitlyn F Loyd', 'EmailAddress': None, 'NSF_ID': '000968335', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Loyd, Kaitlyn F', 'CityName': 'Evanston', 'ZipCode': '602080830', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IL09', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Maryland', 'CityName': 'College Park', 'StateCode': 'MD', 'ZipCode': '207424001', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MD04'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402158.xml'}

Postdoctoral Fellowship: MSPRF: Obstructions and Constructions of Symplectic Embeddings

NSF

07/01/2024

06/30/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Nicole Magill is “Obstructions and Constructions of Symplectic Embeddings”. The host institution for the fellowship is the University of California-Berkeley and the sponsoring scientist is Michael Hutchings.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402169

{'FirstName': 'Nicole', 'LastName': 'Magill', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicole Magill', 'EmailAddress': None, 'NSF_ID': '000933674', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Magill, Nicole', 'CityName': 'Ithaca', 'ZipCode': '14850', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'NY19', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California, Berkeley', 'CityName': 'Berkeley', 'StateCode': 'CA', 'ZipCode': '947203840', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402169.xml'}

Postdoctoral Fellowship: MSPRF: Rigidity and Stability in Geometry and Dynamics

NSF

06/01/2024

05/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Karen Butt is “Rigidity and Stability in Geometry and Dynamics”. The host institution for the fellowship is the University of Chicago and the sponsoring scientist is Anne Wilkinson.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402173

{'FirstName': 'Karen', 'LastName': 'Butt', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karen Butt', 'EmailAddress': None, 'NSF_ID': '000966065', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Butt, Karen', 'CityName': 'Chicago', 'ZipCode': '60637', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Chicago', 'CityName': 'Chicago', 'StateCode': 'IL', 'ZipCode': '606371501', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IL01'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402173.xml'}

Conference: Building Bridges: 6th EU/US Summer School on Automorphic Forms and Related Topics

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': 'Adriana Salerno', 'PO_EMAI': 'asalerno@nsf.gov', 'PO_PHON': '7032922271'}

The Building Bridges: 6th EU/US Summer School on Automorphic forms and Related Topics (BB6) is held at Centre International de Rencontres Mathematiques (CIRM) in Marseille, France from September 2 - 7, 2024. CIRM provides an ideal location for such a school as it is one of the largest mathematics conference centers in the world. The BB6 summer school brings together students and early career researchers from around the world, with a particular emphasis on the US and EU. This school helps train the next generation of research mathematicians in the important field of automorphic forms, a notoriously difficult subject to begin research in as it requires a large amount of technical knowledge. This award supports some of the US-based participants at this workshop, including some instructors and organizers, and nine graduate students.<br/><br/>The BB6 summer school is composed of three classes each of which is team-taught by two instructors. Students attend lectures in the morning delivered by the course instructors. In the afternoon, students have the opportunity to work on problem sets with each other as well as ask questions of the instructors. These courses are designed by the instructors to move students quickly from the introduction of the topic to a particular research area of current interest. Students come away from the summer school with a foundational knowledge of automorphic forms as well as knowledge in three more specialized areas allowing them to move into further study or a research problem. The BB6 school website is hosted at: https://conferences.cirm-math.fr/3134.html.<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

47.049

1

4900

4900

2402177

{'FirstName': 'James', 'LastName': 'Brown', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James L Brown', 'EmailAddress': 'jimlb@oxy.edu', 'NSF_ID': '000512085', 'StartDate': '06/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Occidental College', 'CityName': 'LOS ANGELES', 'ZipCode': '900413314', 'PhoneNumber': '3232591414', 'StreetAddress': '1600 CAMPUS RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_ORG': 'CA34', 'ORG_UEI_NUM': 'DCQQX5TRCYN9', 'ORG_LGL_BUS_NAME': 'OCCIDENTAL COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Occidental College', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900413314', 'StreetAddress': '1600 CAMPUS RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '34', 'CONGRESS_DISTRICT_PERF': 'CA34'}

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

2024~14965

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402177.xml'}

GEM: Comparative Assessment of Energetic Electron Precipitation Driven by Whistler-mode Waves at Earth and Jupiter

NSF

08/01/2024

07/31/2028

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Chia-Lin Huang', 'PO_EMAI': 'chihuang@nsf.gov', 'PO_PHON': '7032927544'}

Whistler-mode waves, commonly observed electromagnetic emissions, have a significant influence on the movement of energetic electrons within our solar system’s plasma. This project aims to address a crucial knowledge gap in our understanding by evaluating how whistler-mode waves scatter energetic electrons into the atmospheres of Earth and Jupiter. The scientific findings will be critical for understanding the fundamental science questions about wave-particle interactions and the resulting electron precipitation driven by whistler-mode waves, not only on Earth but also on Jupiter and potentially in other space plasma environments throughout the solar system. This project has the potential to significantly improve future models of energetic electron dynamics, marking a pivotal step toward improved space weather prediction, which becomes increasingly important for our technologically reliant society. The project involves researchers at various career stages, including a female faculty member, three early-career Co-PIs, a postdoc, graduate students, and undergraduate students. Moreover, the team plans to develop educational materials specifically designed for K-12 students and actively engage in various outreach activities. The active participation of the diverse team in robust research endeavors, along with effective mentorship and outreach initiatives, will play an important role in fostering the growth of a diverse and globally competitive STEM workforce.<br/><br/>The overarching science objective of this project is to conduct a comparative assessment of energetic electron precipitation driven by whistler-mode waves on Earth and Jupiter. Specifically, this project aims to achieve the following objectives at Earth and Jupiter: (1) systematically characterize the typical properties of whistler-mode waves (both chorus and hiss) and analyze the occurrence of large-amplitude whistler-mode waves; (2) evaluate the properties of energetic electron precipitation with the focus on intense precipitation; (3) examine the importance of nonlinear effects on energetic electron precipitation due to whistler-mode waves; and (4) quantify the effects of whistler-mode waves on electron precipitation across various energies in different regions. To attain the research objectives, the project team will leverage unprecedented multi-satellite observations, including data from missions such as Van Allen Probes, THEMIS, and ELFIN for Earth, along with Juno’s observations of Jupiter, as well as theory and modeling. The scientific findings of this project will contribute to a more profound comprehension of the fundamental physical processes governing plasma wave and particle dynamics throughout the universe.<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.

07/31/2024

07/31/2024

None

Grant

47.050

1

4900

4900

2402179

[{'FirstName': 'Wen', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wen Li', 'EmailAddress': 'luckymoon761@gmail.com', 'NSF_ID': '000621169', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Qianli', 'LastName': 'Ma', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Qianli Ma', 'EmailAddress': 'qma@bu.edu', 'NSF_ID': '000733237', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Xiaochen', 'LastName': 'Shen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xiaochen Shen', 'EmailAddress': 'xcshen@bu.edu', 'NSF_ID': '000821723', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Murong', 'LastName': 'Qin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Murong Qin', 'EmailAddress': 'mqin1@bu.edu', 'NSF_ID': '000901972', 'StartDate': '07/31/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

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

{'Code': '575000', 'Text': 'MAGNETOSPHERIC PHYSICS'}

2024~662579

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402179.xml'}

Postdoctoral Fellowship: MPS-Ascend: Development of Ni-catalyzed Asymmetric Cross-Coupling of Unactivated C(sp3) Electrophiles Using a Dual Catalysis System

NSF

07/01/2024

06/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Samy El-Shall', 'PO_EMAI': 'selshall@nsf.gov', 'PO_PHON': '7032927416'}

Kristen Gardner is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship to Dr. Gardner supports the research project entitled “Postdoctoral Fellowship: MPS-Ascend: “Development of Ni-catalyzed asymmetric cross-coupling of unactivated C(sp3) electrophiles using a dual catalysis system” under the mentorship of a sponsoring scientist. The host institution for the fellowship is California Institute of Technology (Caltech), and the sponsoring scientist is Dr. Sarah Reisman.<br/><br/>This proposal aims to develop a new approach for the Ni-catalyzed C(sp3)–C(sp2) cross-coupling reactions between unactivated alkyl chlorides and C(sp2) electrophiles. Constructing C(sp3)–C(sp2) bonds is a fundamental goal of organic chemistry that often faces the challenges of cross-reactivity, stereochemical control, and the necessity for highly reactive and selective catalysts to activate the strong C(sp3)–Cl bond. The proposed research aims to address these challenges by developing a novel dual ligand Ni-catalyzed system for enantioselective C(sp3)–C(sp2) cross-coupling with unactivated alkyl chlorides. The proposed work will use cyclic voltammetry studies to evaluate the feasibility of the proposed dual ligand system. Successful implementation of this work will provide fundamental insights into the construction of C(sp3)-rich molecules, thus having broad implications to the field of organic synthesis especially for the late-stage functionalization of complex organic molecules for applications in pharmaceutically relevant transformations.<br/><br/>The PI plans to increase broadening participation in STEM by mentoring undergraduate students through Caltech’s WAVE summer program and participating in Caltech’s CLTO’s Science Nights through demonstrations to local schools and library science nights.<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

47.049

1

4900

4900

2402183

{'FirstName': 'Kristen', 'LastName': 'Gardner', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kristen E Gardner', 'EmailAddress': None, 'NSF_ID': '000883996', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gardner, Kristen Elise', 'CityName': 'Berkeley', 'ZipCode': '94703', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'CA12', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California Institute of Technology (Caltech)', 'CityName': 'Pasadena', 'StateCode': 'CA', 'ZipCode': '911250002', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_PERF': 'CA28'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402183.xml'}

Postdoctoral Fellowship: MSPRF: Statistical Analysis of Invariants of Modular Forms

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Nina Zubrilina is “Statistical Analysis of Invariants of Modular Forms”. The host institution for the fellowship is the Massachusetts Institute of Technology and the sponsoring scientist is Andrew Sutherland.<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.

06/14/2024

06/14/2024

None

Grant

47.049

1

4900

4900

2402187

{'FirstName': 'Nina', 'LastName': 'Zubrilina', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nina Zubrilina', 'EmailAddress': None, 'NSF_ID': '000885812', 'StartDate': '06/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Zubrilina, Nina', 'CityName': 'Princeton', 'ZipCode': '08540', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NJ12', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'StateCode': 'MA', 'ZipCode': '021394307', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402187.xml'}

ARTS: A North American monograph of the powdery mildews (Erysiphaceae)

NSF

10/01/2023

08/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Christopher Balakrishnan', 'PO_EMAI': 'cbalakri@nsf.gov', 'PO_PHON': '7032922331'}

Of all organisms, fungi are among the least studied in terms of diversity, with approximately only 10% of existing fungi currently known. This is especially true for powdery mildews; these are one of the world’s most common and yet least studied fungal plant pathogens. Powdery mildews are particularly important because they cause serious damage to economically important agricultural crops, such as blueberries, hops, peas, strawberries, wheat, and wine grapes. Powdery mildews are often host specific, but it is unclear which powdery mildew species are the causal agents of disease on even some of the most important agricultural crops. Additionally, for non-specialists it is difficult to ascertain which sequences, identifications, and species names on publicly available databases are reliable. Accurate identification of plant pathogens is important because particular species often require different control methods and applications. In this work, we will develop a publicly available online powdery mildew identification manual allowing accurate identification for scientists, farmers, and horticulturalists around the world. This will contribute to practical applications as well as research in a wide range of disciplines, including plant pathology, evolutionary biology, mycology, and systematics. By obtaining additional sequence data for particularly virulent, invasive species, this work will also contribute to a better understanding of how pathogens invade new environments. To accomplish this project, we will assemble and train a team of undergraduate, graduate, and postdoctoral researchers. Fungal biology has historically failed to recruit diverse researchers. With this in mind, we will highlight diversity and inclusion in our personnel selection process. <br/><br/>Powdery mildews (Erysiphaceae) are ecologically and economically important unculturable fungal plant pathogens that have been reported to infect over 10,000 flowering plant species worldwide. Powdery mildews are ubiquitous and speciose with an estimated 906 species. Although they are one of the world’s most common plant pathogens, little research has been conducted on the many species of powdery mildews in North America. The only checklist in the United States was published in 1989 and included ~70 species. In contrast, preliminary research at 10 botanical gardens across North America revealed ~130 species, ~30 that were previously unknown. Continued exploration in the field, in botanical gardens and in herbaria will contribute valuable information to the mycological and plant pathological communities. We propose to identify, sequence and phylogenetically investigate the diverse array of powdery mildews from throughout North America. The following objectives will be the focus of the project: (1) To acquire molecular sequence data to fill existing gaps in the Erysiphaceae phylogeny, (2) To sequence multiple genomic regions to obtain higher level taxonomic resolution and resolve common species complexes, which have so far been unresolved in this fungal group; (3) To write the first comprehensive monograph of the Erysiphaceae of North America; (4) To develop a website to electronically disseminate the compiled data to the scientific and general public. Our research will form a foundation for future studies on the Erysiphaceae.<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.

11/20/2023

11/20/2023

None

Grant

47.074

1

4900

4900

2402193

{'FirstName': 'Michael', 'LastName': 'Bradshaw', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Bradshaw', 'EmailAddress': 'mbradshaw@ncsu.edu', 'NSF_ID': '000859069', 'StartDate': '11/20/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'ZipCode': '276950001', 'PhoneNumber': '9195152444', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NC02', 'ORG_UEI_NUM': 'U3NVH931QJJ3', 'ORG_LGL_BUS_NAME': 'NORTH CAROLINA STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'U3NVH931QJJ3'}

{'Name': 'North Carolina State University', 'CityName': 'RALEIGH', 'StateCode': 'NC', 'ZipCode': '276950001', 'StreetAddress': '2601 WOLF VILLAGE WAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NC02'}

{'Code': '737400', 'Text': 'Systematics & Biodiversity Sci'}

2023~1000000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402193.xml'}

A Polaron Paradigm for Perovskite Nanocrystal Stokes Shifts

NSF

06/15/2024

05/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Colby Foss', 'PO_EMAI': 'cfoss@nsf.gov', 'PO_PHON': '7032925327'}

With the support of the Macromolecular, Supramolecular and Nanochemistry Program and the Chemical Structure and Dynamics Program in the Division of Chemistry, Professor Masaru Kuno of the University of Notre Dame will investigate the origin of ubiquitous energy differences between the peak absorption and emission energies of recently discovered perovskite nanocrystals. These nanocrystals have applications, ranging from next-generation lighting to solar energy conversion and harvesting. However, unanswered questions exist regarding the identity of their absorbing and emitting states. As part of this effort, Professor Kuno and collaborators will work with local K-12 teachers to develop hands on kits that demonstrate to the principles of light emitting diodes as well as how semiconductor nanocrystals are currently being used to make commercial quantum dot televisions. These kits will be part of an outreach effort to student from underrepresented groups in science from the South Bend area.<br/><br/>Absorption and emission energy differences are prevalent in semiconductor nanocrystals. Conventional wisdom suggests that they arise from the existence of size-dependent, band edge exciton fine structure. However, predicted bright/dark exciton fine structure splittings are much too small to account for experimentally-observed, 20-100 meV Stokes shifts. Professor Kuno and coworkers have recently put forward a model that attributes the origin of perovskite absorption/emission Stokes shifts to a polaron emitting state. This model rationalizes perovskite nanocrystal Stokes shifts in terms of size-dependent, polaron binding energies and simultaneously sheds new light on their band edge absorbing and emitting states. This fundamental information has potential long term implications for the successful commercialization of these materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/14/2024

05/14/2024

None

Grant

47.049

1

4900

4900

2402194

[{'FirstName': 'Boldizsar', 'LastName': 'Janko', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Boldizsar Janko', 'EmailAddress': 'bjanko@nd.edu', 'NSF_ID': '000179619', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Masaru', 'LastName': 'Kuno', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Masaru K Kuno', 'EmailAddress': 'mkuno@nd.edu', 'NSF_ID': '000478420', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of Notre Dame', 'CityName': 'NOTRE DAME', 'ZipCode': '465565708', 'PhoneNumber': '5746317432', 'StreetAddress': '940 GRACE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'IN02', 'ORG_UEI_NUM': 'FPU6XGFXMBE9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NOTRE DAME DU LAC', 'ORG_PRNT_UEI_NUM': 'FPU6XGFXMBE9'}

{'Name': 'University of Notre Dame', 'CityName': 'NOTRE DAME', 'StateCode': 'IN', 'ZipCode': '465565708', 'StreetAddress': '940 Grace Hall', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'IN02'}

[{'Code': '688500', 'Text': 'Macromolec/Supramolec/Nano'}, {'Code': '910100', 'Text': 'CSD-Chem Strcture and Dynamics'}]

2024~668620

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402194.xml'}

Postdoctoral Fellowship: MSPRF: Syzygies, Toric Varieties, and Applications to Data Science

NSF

07/01/2024

06/30/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to John Cobb is “Syzygies, Toric Varieties and Applications to Data Science”. The host institution for the fellowship is Auburn University and the sponsoring scientist is Henry Schenck.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402199

{'FirstName': 'John', 'LastName': 'Cobb', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': 'III', 'PI_FULL_NAME': 'John D Cobb', 'EmailAddress': None, 'NSF_ID': '000887214', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cobb, John David', 'CityName': 'Madison', 'ZipCode': '53703', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Wisconsin', 'StateCode': 'WI', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'WI02', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Auburn University', 'CityName': 'Auburn', 'StateCode': 'AL', 'ZipCode': '368490001', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'AL03'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402199.xml'}

Postdoctoral Fellowship: MSPRF: Extremal and Probabilistic Combinatorics

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Robert Krueger is “Extremal and Probabilistic Combinatorics”. The host institution for the fellowship is Carnegie Mellon University and the sponsoring scientist is Prasad Tetali.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402204

{'FirstName': 'Robert', 'LastName': 'Krueger', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert A Krueger', 'EmailAddress': None, 'NSF_ID': '000933584', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Krueger, Robert A', 'CityName': 'Urbana', 'ZipCode': '61801', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Carnegie Mellon University', 'CityName': 'Pittsburgh', 'StateCode': 'PA', 'ZipCode': '152133890', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402204.xml'}

CAREER: Identifying and Controlling Interfacial and Structural Instabilities in Transition Metal Oxide Cathodes for Na-ion Batteries

NSF

10/01/2023

09/30/2027

{'Value': 'Continuing Grant'}

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

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

This project is jointly funded by the CBET Electrochemical Systems program and the Established Program to Stimulate Competitive Research (EPSCoR) Program. Increasing energy demand associated with the growing population, environmental concerns, and technological advancements imposes pressure on modern society to utilize renewable energy sources. Sodium (Na)-ion batteries are promising candidates for large-scale/grid-scale energy storage in terms of availability of raw sources, cost reduction and its environmentally benign nature. However, the electrochemical performance of Na-ion batteries suffers from short cycle life and rapid capacity fade due to severe instabilities in the cathode materials. Lack of understanding of instability mechanisms limits the design of novel cathode materials for Na-ion batteries. The research program will generate fundamental knowledge of the underlying governing forces behind the instabilities and deformations in Na-ion cathodes. This knowledge is a potentially transformative concept for other “beyond Li-ion battery” technologies such as K-ion, Mg-ion, and Ca-ion batteries. The overarching educational objective in this CAREER proposal is to facilitate learning the fundamentals of batteries at K-12, undergraduate and graduate student levels as well as increase public knowledge of the fundamentals of battery operations. The educational and outreach activities include developing graphic novels about battery operation mechanisms for K-12 students, providing an educational platform for future K-12 teachers in STEM fields, preparing battery exhibits at a Science Museum, and integrating research outputs into college education. <br/><br/>This CAREER proposal addresses the scientific problem related to poor interfacial and structural stabilities of transition metal oxide cathodes in Na-ion batteries. The proposal will focus on transition metal oxides made of earth abundant minerals such as manganese and iron. The goal of the research activities is to identify the impact of transition metals, operation voltage and electrolyte chemistry on chemo-mechanical instabilities in transition metal oxides cathodes. The guiding hypothesis is that intercalation of Na+ ions in transition metal oxide structure inevitably alters the coupled transport-reaction processes, leading to chemo-mechanical instabilities in the surface and structure of the electrode, resulting in rapid capacity fade. The project will examine the coupling between reaction-transport behavior and mechanical deformations in single and binary transition metal oxide cathodes cycled in organic liquid electrolytes. In operando stress / strain measurements will be coupled with chemical and structural characterization techniques to identify the governing force on interfacial and structural deformations.<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.

11/14/2023

06/21/2024

None

Grant

47.041, 47.083

1

4900

4900

2402216

{'FirstName': 'Omer', 'LastName': 'Capraz', 'PI_MID_INIT': 'O', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Omer O Capraz', 'EmailAddress': 'capraz@umbc.edu', 'NSF_ID': '000794291', 'StartDate': '11/14/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '764400', 'Text': 'EchemS-Electrochemical Systems'}, {'Code': '915000', 'Text': 'EPSCoR Co-Funding'}]

['2022~364602', '2024~93303']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402216.xml'}

Postdoctoral Fellowship: MPS-Ascend: Attosecond Dynamics in Multi-Photon Molecular Ionization

NSF

07/01/2024

06/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

Carlos Marante Valdes is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broadening participation by groups underrepresented in STEM. This fellowship to Dr. Marante Valdes supports the research project entitled “Postdoctoral Fellowship: MPS-Ascend: Attosecond dynamics in multi-photon molecular ionization” under the mentorship of a sponsoring scientist. The host institution for the fellowship is the University of Central Florida, and the sponsoring scientist is Dr. Luca Argenti.<br/><br/>This award takes advantage of the development of ultrafast laser technology over the last few decades, which has made possible to study the electronic and nuclear dynamics, in molecules, on their natural time scale. The nuclei in a molecule vibrate with an oscillation period of several femtoseconds, while the electronic motion occurs in a time span of several attoseconds, one billionth of a billionth of a second. The PI intends to simulate the effect that laser pulses with arbitrary duration and polarization have in molecular targets, at a computational cost much lower than the full propagation of the time-dependent Schrödinger equation. <br/><br/>The PI plans to increase broadening participation in STEM by mentoring undergraduate and graduate students as part of this work. In particular, recitations and individual mentoring will be provided to prepare the graduate students for the candidacy exams. The PI will also assist in the supervision of high-school students conducting research projects in the scientific mentor’s group and participate in outreach activities outside UCF directed to increase participation of underrepresented minority students in science workshops and competitions.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2402225

{'FirstName': 'Carlos Antonio', 'LastName': 'Marante Valdes', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Carlos Antonio Marante Valdes', 'EmailAddress': None, 'NSF_ID': '000938906', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Marante Valdes, Carlos Antonio', 'CityName': 'Orlando', 'ZipCode': '32816', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'FL10', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Central Florida', 'CityName': 'Orlando', 'StateCode': 'FL', 'ZipCode': '328168005', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'FL10'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402225.xml'}

Postdoctoral Fellowship: MSPRF: Algebraic Groups in Positive and Mixed Characteristic

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Sean Cotner is “Algebraic Groups in Positive and Mixed Characteristic”. The host institution for the fellowship is the University of Michigan - Ann Arbor and the sponsoring scientist is Stephen Debacker.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402231

{'FirstName': 'Sean', 'LastName': 'Cotner', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sean Cotner', 'EmailAddress': None, 'NSF_ID': '000902200', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cotner, Sean', 'CityName': 'Stanford', 'ZipCode': '94305', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Michigan', 'CityName': 'Ann Arbor', 'StateCode': 'MI', 'ZipCode': '481091382', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Michigan', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'MI06'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402231.xml'}

Data-adaptive Random Tessellations for Complex Data Analysis

NSF

10/01/2024

09/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Jodi Mead', 'PO_EMAI': 'jmead@nsf.gov', 'PO_PHON': '7032927212'}

Developing accurate and interpretable models is crucial for the safety and efficacy of machine learning in an ever-increasing range of applications. To achieve state-of-the-art performance, algorithms rely on expensive and opaque optimization procedures that implicitly learn the most important features of the dataset to build the model. The complex nature of these algorithms impedes our ability to interpret the patterns in the data used to generate the output and obtain mathematical performance guarantees. This project will develop a library of fast and accurate machine-learning algorithms with interpretable mechanisms for learning the most relevant information from a dataset. This project will also create a corresponding mathematical toolkit for analyzing these algorithms to guide optimal implementation and provide statistical guarantees. These interpretable and theoretically justified algorithms will be of particular value for safety-critical applications in engineering and healthcare. This project will be complemented by the mentorship of undergraduate and graduate research projects utilizing data science for the public good.<br/><br/>Many modern machine-learning algorithms generate complex models using random partitions of the available data set. The most successful approaches, such as random forests and neural networks with piecewise linear activation functions, rely on optimization procedures that generate a data-adaptive partition, making the algorithm very difficult to analyze. On the other hand, purely random forests and random feature models generate random partitions of the feature space independently of the data. These methods are more amenable to theoretical analysis, but their performance and scalability suffer in the presence of large and high-dimensional datasets. This project will utilize and expand the toolkit of random tessellation processes in stochastic geometry to close the theoretical and computational gap between data-independent and data-adaptive random partitioning methods in machine learning. This mathematical framework consists of expressive models for random partitions with parameters that will be learned from data and an extensive theory from which to develop a comprehensive understanding of the mathematical properties of the learned models. The goals of the project are to develop state-of-the-art random partitioning algorithms for data analysis, provide matching theoretical performance guarantees, and study fundamental statistical and computational trade-offs of data-adaptivity in the partitioning process.<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.

08/01/2024

08/01/2024

None

Grant

47.049, 47.070

1

4900

4900

2402234

{'FirstName': 'Elizabeth', 'LastName': "O'Reilly", 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': "Elizabeth O'Reilly", 'EmailAddress': 'eliza.gmsp@gmail.com', 'NSF_ID': '000788024', 'StartDate': '08/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}, {'Code': '806900', 'Text': 'CDS&E-MSS'}, {'Code': '808400', 'Text': 'CDS&E'}]

2024~320236

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402234.xml'}

Conference: Series on Institutional Change to Support STEM Underrepresented Faculty Success

NSF

05/01/2024

10/31/2025

{'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': 'Carrie Hall', 'PO_EMAI': 'carhall@nsf.gov', 'PO_PHON': '7032924641'}

Systemic change in higher education is of critical and continuing national importance in efforts to promote the recruitment, retention, and advancement of STEM faculty from all populations. Higher education institutions, however, have been historically slow to change. Built on centuries-old practices, many colleges and universities are driven by missions that are explicitly centered around concepts of excellence, prestige, and advancement of knowledge. Implicit in many institutional policies and practices, however, are long-standing and systemic inequities that do not support a diverse student body, nor the faculty who instruct, mentor, and train this next generation of science, technology, engineering, and mathematics (STEM) professionals. <br/><br/>The scope of the Conference Series on Institutional Change to Support STEM Faculty Success includes exploring the opportunities for and potential barriers to changing institutional policies and practices to support the STEM faculty from all populations. Bringing together researchers, practitioners, administrators, and individual faculty, this series will consider how research and theory of institutional and organizational change can more effectively support the hiring, development, and advancement of these faculty. Specifically, the discussions, presentations, and conversations will examine different layers and levels of operational influence within higher education systems and structures, elements of effective change processes, and factors that can ensure all people have an opportunity to achieve success in STEM.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/09/2024

05/09/2024

None

Grant

47.076

1

4900

4900

2402235

[{'FirstName': 'Maria', 'LastName': 'Dahlberg', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Maria L Dahlberg', 'EmailAddress': 'mdahlberg@nas.edu', 'NSF_ID': '000794784', 'StartDate': '05/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Melissa', 'LastName': 'Wynn', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Melissa E Wynn', 'EmailAddress': 'mwynn@nas.edu', 'NSF_ID': '000951514', 'StartDate': '05/09/2024', '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': '151500', 'Text': 'AGEP'}

2024~648319

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402235.xml'}

Postdoctoral Fellowship: MSPRF: Integrable Models in Statistical Mechanics

NSF

07/01/2024

06/30/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Matthew Nicoletti is “Integrable Models in Statistical Mechanics”. The host institution for the fellowship is the University of California - Berkeley and the sponsoring scientist is Vadim Gorin.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.049

1

4900

4900

2402237

{'FirstName': 'Matthew', 'LastName': 'Nicoletti', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew Nicoletti', 'EmailAddress': None, 'NSF_ID': '000968556', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Nicoletti, Matthew', 'CityName': 'Cambridge', 'ZipCode': '02139', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'MA08', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'U.C. Berkeley', 'CityName': 'Berkeley', 'StateCode': 'CA', 'ZipCode': '947205201', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402237.xml'}

CAREER: Frailty Assessment for Older Adults with Walking Disabilities using Dynamical Modeling of Cardiac, Brain, and Motor Systems in Response to Provocative Testing

NSF

10/01/2023

03/31/2028

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Amanda O. Esquivel', 'PO_EMAI': 'aesquive@nsf.gov', 'PO_PHON': '7032920000'}

Frailty syndrome in older adults results from deterioration of many physiological systems. To diagnose frailty, clinicians consider weight loss, muscle weakness/strength, cognitive ability, walking speed, and endurance as well as level of physical activity using separate assessments that can be difficult for patients. To make frailty diagnoses more accurate and testing easier for patients and clinicians, the project will develop a new strategy that tests and measures the combined interactions of the multiple systems that are impacted by frailty, including the musculoskeletal, heart, and brain systems. This new model will give researchers a better picture of the impairments due to frailty in all aging patients, with a focus on walking disabilities and heart disease. This Faculty Early Career Development Program (CAREER) project will integrate hands-on education activities within the research and provide opportunities for students to work within hospital and research environments. These efforts will support underrepresented students in the development of a Science, Technology, Engineering, and Math plus Medicine (STEM+M) identity.<br/><br/>The overarching research goal of this CAREER project is to better understand and model aging-related physiological deficits due to frailty in response to adverse events using a new platform that tests upper-extremity function in older adults with walking disabilities. The model will be tested among older adult patients with advanced heart disease. The underlying mechanisms leading to frailty are factors related to inflammation and hormonal dysregulation that shift homeostasis from an anabolic to a catabolic state. The dominant symptom of frailty progression is muscle loss and weakness, which in combination with cognitive impairments and deficits in cardiac autonomic control can compromise the response to stress in frail individuals. This research will implement a method based on nonlinear state space reconstruction to characterize dynamic interactions between physiological systems in response to provocative testing of upper-extremity function. Motor performance, cardiac automimic control, and brain function during the provocative test will be assessed using motion, electrocardiogram, and functional near-infrared spectroscopy sensors, all of which are wearable and feasible to implement broadly. Research outcomes are expected to address two critical questions: 1) can a dynamic stress-response model of physiological systems using a sub-maximal stress test replicate the results of real-life stress?; and 2) to what extent considering the interactions between multiple physiological systems explain frailty characteristics in the stress-response model? To test these hypotheses, the research objectives are to: 1) develop a multimodal frailty score using the stress-response model in comparison with available frailty tools and biomarkers leveraging feature engineering for machine learning; and 2) determine the association between the frailty score with adverse outcomes after therapy for advanced heart disease patients. In the education plan of this project, students will participate in research to design and develop the frailty model and toolkit. Beyond student training, the project will provide the opportunity to educate heart disease patients with walking disabilities and their caregivers about the benefits of localized sub-maximal exercises to enhance physical and mental health.<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.

11/14/2023

11/14/2023

None

Grant

47.041

1

4900

4900

2402238

{'FirstName': 'Nima', 'LastName': 'Toosizadeh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nima Toosizadeh', 'EmailAddress': 'nima.toosizadeh@rutgers.edu', 'NSF_ID': '000807087', 'StartDate': '11/14/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY', 'CityName': 'NEWARK', 'ZipCode': '071073001', 'PhoneNumber': '8489320150', 'StreetAddress': '65 BERGEN ST', 'StreetAddress2': 'STE 1', 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'NJ10', 'ORG_UEI_NUM': 'YVVTQD8CJC79', 'ORG_LGL_BUS_NAME': 'RUTGERS THE STATE UNIVERSITY OF NEW JERSEY', 'ORG_PRNT_UEI_NUM': 'YVVTQD8CJC79'}

{'Name': 'RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY', 'CityName': 'NEWARK', 'StateCode': 'NJ', 'ZipCode': '071073001', 'StreetAddress': '65 BERGEN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'NJ10'}

{'Code': '534200', 'Text': 'Disability & Rehab Engineering'}

2023~453431

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402238.xml'}

RAPID: Acquisition and curation of time-sensitive field data from severely flooded neighborhoods in New York City from tropical storm Ophelia for environmental sustainability study

NSF

11/01/2023

10/31/2024

{'Value': 'Standard Grant'}

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

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

Recent extreme climate events have caused disastrous outcomes in New York City and other coastal towns on the east coast. Torrential rain with record-breaking intensity brought by the remnants of tropical storm Ophelia left large areas of neighborhoods flooded, transportation systems shut down, schools stranded, and properties damaged. More than 8 inches of rain fell in parts of the NYC from Thursday Sept. 28 to Friday Sept. 29. As the result of these flooding events, perishable data such as high-water marks indicating the level of flooding in different neighborhoods are highly time-sensitive and require timely response to be preserved for future study. There is an urgent need to collect and curate data to understand and analyze vulnerabilities in the communities especially underserved ones. The objective of this project is to collect perishable data in neighborhoods that were severely flooded including images of the high-water marks of flooded neighborhood post flooding events and the forecasted and recorded precipitation to help stakeholders assess their design guidelines for future flooding events and mitigation plans. Multi-modal data from satellite imagery, weather radar imagery, road cameras, as well as people’s responses in social media posts will also be collected and curated for potential future use in building time lapse and high-fidelity visualization tools to help stakeholders and communities with more informed decision making and explore more effective outreach and flood-risk communications.&lt;br/&gt;&lt;br/&gt;Documenting time-sensitive perishable data on a hyperlocal scale provides valuable data for the study of environmental sustainability of communities under climate extremes. Representing and interpreting these data in an interactive map could provide stakeholders and at-risk communities with easy-to-digest information to analyze risk and develop strategies for more effective mitigation plans. This outcome of this project will help address such questions as how New York City is prepared to respond to such weather extreme events since Hurricanes Sandy and Ida, how and when weather warnings are issued, how communities in low-lying and flood-prone areas are informed and prepared for emergency, what are the infrastructure projects in place and how to assess their effectiveness, what data was used in generating the current flood map, and are there more targeted infrastructure solutions to protect the communities.&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.

10/24/2023

10/24/2023

None

Grant

47.041

1

4900

4900

2402240

{'FirstName': 'Ziqian', 'LastName': 'Dong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ziqian Dong', 'EmailAddress': 'ziqian.dong@nyit.edu', 'NSF_ID': '000572386', 'StartDate': '10/24/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New York Institute of Technology', 'CityName': 'NEW YORK', 'ZipCode': '100237606', 'PhoneNumber': '5166867737', 'StreetAddress': '1855 BROADWAY', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'SVZSJHR2A4T6', 'ORG_LGL_BUS_NAME': 'NEW YORK INSTITUTE OF TECHNOLOGY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New York Institute of Technology', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100237606', 'StreetAddress': '1855 BROADWAY', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}

{'Code': '7643', 'Text': 'EnvS-Environmtl Sustainability'}

2024~199667

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402240.xml'}

Postdoctoral Fellowship: MPS-Ascend: Studying the Quark-Gluon Plasma with Jets

NSF

05/01/2024

04/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

Virginia Bailey is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship to Dr. Bailey supports the research project entitled “Postdoctoral Fellowship: MPS-Ascend: Studying the Quark-Gluon Plasma with Jets” under the mentorship of a sponsoring scientist. The host institution for the fellowship is Georgia State University, and the sponsoring scientist is Professor Megan Connors.<br/><br/>The PI will study the hot and dense nuclear matter, known as the quark-gluon plasma (QGP), formed in collisions of heavy nuclei. The research will take advantage of the newly constructed sPHENIX detector at the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Lab (BNL). The detector is designed specifically for measuring high energy probes of the QGP in order to understand how its small scale structure leads to the global properties of the QGP. In particular, this project will make use of jets, high energy sprays of particles, as probes of the QGP. These measurements at RHIC will provide complimentary information to similar measurements that have been performed at the Large Hadron Collider at CERN which, along with comparisons to theoretical models, will allow for a deeper understanding of the QGP.<br/><br/>The PI plans to increase participation in STEM through mentoring students in the diverse GSU physics department, hosting them at BNL over the summer to contribute directly to the sPHENIX project, and working with GSU undergraduates so that they gain experience as student researchers. The goal of these efforts is to encourage students from the diverse GSU department to participate and excel in research and to provide networking opportunities such that they are well equipped to continue in STEM research after graduation.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2402241

{'FirstName': 'Virginia', 'LastName': 'Bailey', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Virginia Bailey', 'EmailAddress': None, 'NSF_ID': '000961032', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Bailey, Virginia', 'CityName': 'Patchogue', 'ZipCode': '11772', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NY02', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Georgia State University', 'CityName': 'Atlanta', 'StateCode': 'GA', 'ZipCode': '303032918', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402241.xml'}

Postdoctoral Fellowship: MPS-Ascend: Probing Secondary Structure and Hydration in Nucleic Acids Using Chiral Selective Vibrational Sum Frequency Generation Spectroscopy

NSF

07/15/2024

06/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Samy El-Shall', 'PO_EMAI': 'selshall@nsf.gov', 'PO_PHON': '7032927416'}

Ty Santiago is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broaden participation by groups underrepresented in STEM. This fellowship to Dr. Santiago supports the research project entitled “MPS-Ascend: Probing secondary structure and hydration in Nucleic acids using chiral selective vibrational sum frequency generation spectroscopy” under the mentorship of a sponsoring scientist. The host institution for the fellowship is Yale University, and the sponsoring scientist is Dr. Elsa C. Y. Yan.<br/><br/>The proposal intends to use chiral vibrational sum frequency generation (cSFG) spectroscopy to identify the vibrational signatures of DNA sequences that fold into model secondary structures. The cSFG responses that are unique to the macroscopic chirality of different DNA secondary structures will allow for differentiating DNA folding in situ and in real time. The cSFG spectroscopy will also be used to probe the hydration structures of DNA and the DNA-Peptide interactions, and the experimental cSFG spectra will be compared with computationally simulated spectra produced by collaborative efforts aimed at validating molecular models and developing computational tools for interpreting the cSFG spectra. Successful implementation of this work will introduce opportunities for future studies of DNA structural changes in response to temperature, pH, binding of small molecules or protein. The overall goal is to establish cSFG as a tool for studying secondary structures of DNA as well as biomolecular recognition, and the role that water plays in each.<br/><br/>The PI intends to participate in outreach activities to inspire young people to pursue careers in STEM. The PI is planning to serve as a panelist on the topic of graduate school application at Alabama State University, and to give an invited talk at Yale’s seminar series of Biological and Biomedical Sciences Diversity and Inclusion Collective. As a member of the Society for Advancement of Chicanos/Hispanics & Native Americans in Science (SACNAS), the PI will volunteer as a judge for the poster contest and serve as a panelist in a Q&A session organized by SACNAS. As a member of the Diversity, Equity, and Inclusion advocates in the Chemistry Department at Yale, the PI will host social togetherness events, trainings, and workshops to improve equity and inclusivity in the workplace, lab, and classroom.<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.

07/17/2024

07/17/2024

None

Grant

47.049

1

4900

4900

2402247

{'FirstName': 'Ty', 'LastName': 'Santiago', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ty J Santiago', 'EmailAddress': None, 'NSF_ID': '000936381', 'StartDate': '07/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Santiago, Ty J', 'CityName': 'North Branford', 'ZipCode': '06471', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Yale University', 'CityName': 'New Haven', 'StateCode': 'CT', 'ZipCode': '065208107', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CT03'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402247.xml'}

Conference: 2024 Photosensory Receptors and Signal Transduction GRC/GRS: Light-Dependent Molecular Mechanism, Cellular Response and Organismal Behavior

NSF

01/15/2024

12/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Engin Serpersu', 'PO_EMAI': 'eserpers@nsf.gov', 'PO_PHON': '7032927124'}

Gordon Research Conference (GRC) and Gordon Research Seminar (GRS) on Photosensory Receptors and Signal Transduction will be held on March 2-3rd (GRS), 2024 and March 3-8th (GRC), 2024 in Renaissance Tuscany Il Ciocco Via Giovanni Pascoli Lucca (Barga), Italy. This conference will bring together senior and junior researchers from broad ranging disciplines to discuss and advance our understanding of photosensory systems in biology. Understanding how light signals are transmitted has the potential to improve crop yields through optimized photosynthesis and plant growth, allow the development of new optogenetic tools for cell biology and neuroscience and treat diseases in humans associated with vision loss and mood disorders. The themes of the GRC and GRS have been chosen to emphasize the most important, universal questions underlying these problems and to stimulate the exchange of ideas among diverse researchers to solve them. The Program includes 45 speakers from 17 countries in GRC and 13 speakers and three mentors in GRS. Additional talks, selected from submitted abstracts, will be given 15-minute time slots. Since GRS is immediately followed by the regular GRC conference, many attendees of GRS attendees may stay for GRC sessions to have opportunity to mingle and interact with senior investigators. &lt;br/&gt;The meeting will provide an opportunity to young scientists, graduate students, and postdoctoral fellows from diverse backgrounds and from underrepresented groups to be trained in interdisciplinary areas and interact with the current leaders of the field. This meeting was supported by the Molecular Biophysics Program in the Division of Molecular and Cellular Biosciences.&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.

12/01/2023

12/01/2023

None

Grant

47.074

1

4900

4900

2402252

{'FirstName': 'Brian', 'LastName': 'Crane', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brian R Crane', 'EmailAddress': 'bc69@cornell.edu', 'NSF_ID': '000489080', 'StartDate': '12/01/2023', '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', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '1144', 'Text': 'Molecular Biophysics'}

2024~5000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402252.xml'}

Postdoctoral Fellowship: MPS-Ascend: Laser Cooling Radioactive Molecules

NSF

05/01/2024

04/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

Arian Jadbabaie is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broadening participation by groups underrepresented in STEM. This fellowship to Dr. Jadbabaie supports the research project entitled “Postdoctoral Fellowship: MPS-Ascend: Laser Cooling Radioactive Molecules” under the mentorship of a sponsoring scientist. The host institution for the fellowship is Massachusetts Institute of Technology (MIT) and the sponsoring scientist is Dr. Garcia Ruiz.<br/><br/>This award supports the precision spectroscopy of radioactive molecules and an attempt to demonstrate their first direct laser cooling. Successful cooling of such molecules will open the way for a new class of table-top experiments searching for physics beyond the Standard Model of particle physics. While the Standard Model successfully describes a vast range of physical phenomena, it is known that it is not a complete theory. Searches using high precision atomic, molecular and optical physics measurement techniques, such as the one enabled by this award, are one important avenue for constraining extensions of the Standard Model.<br/><br/>The PI plans to increase broadening participation in STEM by utilizing science outreach at local Boston schools, to directly engage students and parents with compelling science demonstrations, create a network with local schools, and spread science opportunities. Next, the Fellow will become one of the main organizers of the event “Bridging Talents and Opportunities”, which will attract high school students, parents, teachers, and sponsors to the host institution, MIT. The event is focused on connecting students with research opportunities, mentors, and funding; sharing the lived experiences of scientists; and exposing students to captivating outreach. Finally, two students per year will be offered summer research opportunities.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2402254

{'FirstName': 'Arian', 'LastName': 'Jadbabaie', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Arian Jadbabaie', 'EmailAddress': None, 'NSF_ID': '000947305', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Jadbabaie, Arian', 'CityName': 'Pasadena', 'ZipCode': '91125', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '28', 'CONGRESS_DISTRICT_ORG': 'CA28', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'StateCode': 'MA', 'ZipCode': '021394301', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402254.xml'}

Postdoctoral Fellowship: MSPRF: A Classical Approach to Knot Traces

NSF

08/01/2024

07/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Kai Nakamura is “A Classical Approach to Knot Traces”. The host institution for the fellowship is Stanford University and the sponsoring scientist is Ciprian Manolescu.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402259

{'FirstName': 'Kai', 'LastName': 'Nakamura', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kai Nakamura', 'EmailAddress': None, 'NSF_ID': '000960372', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Nakamura, Kai', 'CityName': 'Austin', 'ZipCode': '78712', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Stanford University', 'CityName': 'Stanford', 'StateCode': 'CA', 'ZipCode': '943052125', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_PERF': 'CA16'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402259.xml'}

FRHTP: Advancing Theory for Nuclear Double-Beta Decay (@NDBD)

NSF

08/01/2024

07/31/2029

{'Value': 'Cooperative Agreement'}

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

{'SignBlockName': 'Bogdan Mihaila', 'PO_EMAI': 'bmihaila@nsf.gov', 'PO_PHON': '7032928235'}

Neutrinos, the universe's lightest particles, are notoriously hard to detect but nonetheless important. Their unknown properties, including their masses, their interactions with other as yet unobserved particles, and whether they are their own antiparticles could explain why the universe contains so little antimatter. Experiments to observe a process called neutrinoless double-beta decay, in which two neutrons inside an atomic nucleus change into protons while emitting no neutrinos (in contrast to the usual two) can help us learn; the decay can occur only if neutrinos are their own antiparticles, and its rate reflects the properties both of neutrinos themselves and of undiscovered particles they might interact with. What we learn will be limited, however, without a better understanding of what happens inside the nucleus that hosts the decay. This understanding, at a quantitative level with a good estimate of uncertainty, is the FRHTP's goal. The project connects theorists across the country to achieve it, and at the same time provides postdocs with intensive training in several areas at the interface of nuclear and particle physics. It also supplies experiments and information to K-12 students across the country, helping them understand what it's like to work on a cutting-edge scientific problem.<br/><br/>The effect of the nucleus on the decay can be summarized in a "matrix element" between the initial and final states of a decay operator. Both determining the operator and reliably computing its matrix element are challenges. The operator depends on the particle physics causing the decay, and on the behavior of quarks and gluons inside nucleons. The operator's matrix element depends on the structure of the nucleus, which is made up of those nucleons. Thus, an accurate and precise calculation of the matrix element (a restatement of the Hub's goal) requires coordinated work in particle phenomenology, quantum chromodynamics, and nuclear-structure theory, as well as the use of effective field theory to bridge the energy scales associated with new particles, nucleons, and nuclei. It also requires statistical expertise to combine uncertainties at each of the scales and from several computational methods into an overall error estimate. The Hub uses lattice quantum chromodynamics, three different ab initio nuclear-structure methods, chiral effective field theory, and Bayesian model mixing to produce matrix elements for isotopes used in experiments that are vastly more accurate than anything presented earlier. Bayesian statistical techniques result in a reliable uncertainty estimate, something that has never been achieved before.<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.

07/26/2024

08/15/2024

None

CoopAgrmnt

47.049

1

4900

4900

2402275

[{'FirstName': 'Steven', 'LastName': 'Stroberg', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Steven R Stroberg', 'EmailAddress': 'sstrobe2@nd.edu', 'NSF_ID': '000876966', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Zohreh', 'LastName': 'Davoudi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zohreh Davoudi', 'EmailAddress': 'davoudi@umd.edu', 'NSF_ID': '000846452', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Jonathan', 'LastName': 'Engel', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonathan Engel', 'EmailAddress': 'engelj@physics.unc.edu', 'NSF_ID': '000220918', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Daniel', 'LastName': 'Phillips', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel R Phillips', 'EmailAddress': 'phillid1@ohio.edu', 'NSF_ID': '000230018', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Vincenzo', 'LastName': 'Cirigliano', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Vincenzo Cirigliano', 'EmailAddress': 'cirigv@uw.edu', 'NSF_ID': '000886680', 'StartDate': '07/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'ZipCode': '275995023', 'PhoneNumber': '9199663411', 'StreetAddress': '104 AIRPORT DR STE 2200', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'North Carolina', 'StateCode': 'NC', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'NC04', 'ORG_UEI_NUM': 'D3LHU66KBLD5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL', 'ORG_PRNT_UEI_NUM': 'D3LHU66KBLD5'}

{'Name': 'University of North Carolina at Chapel Hill', 'CityName': 'CHAPEL HILL', 'StateCode': 'NC', 'ZipCode': '275995023', 'StreetAddress': '104 AIRPORT DR STE 2200', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'North Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'NC04'}

{'Code': '128500', 'Text': 'NUCLEAR THEORY'}

2024~662481

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402275.xml'}

Collaborative Research: AF: Medium: Fast Combinatorial Algorithms for (Dynamic) Matchings and Shortest Paths

NSF

07/01/2024

06/30/2028

{'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'}

A graph is a collection of vertices (points or objects), and a collection of edges (links or lines), that connect pairs of vertices. Graphs are a central and an extensively studied type of mathematical object, and they are commonly used to model various problems in many different real world scenarios and applications. For example, it is natural to model a road network in a city, or a computer network, or friendship relationships in a social network as a graph. There are countless other scenarios where a problem one needs to solve, or an object one desires to study, can be naturally abstracted by a graph. As a consequence, the design of efficient algorithms for central graph problems is fundamental to computer science and beyond, and has a significant impact on many aspects of computation. As the amount of data that applications need to deal with grows, it is increasingly important to ensure that such algorithms are very fast. In this project, the investigators will study several central graph problems, such as Maximum Matching, Maximum Flow, and Shortest Paths, in two basic settings. The first is the standard model where the input graph is known in advance, and the goal is to design a fast algorithm for the problem, with running time not significantly higher than the time required to read the input, which is close to the fastest possible running time. The second is the model of dynamic algorithms, where the graph changes over time (for example, consider a road network, where the computation has to account for roads becoming more or less congested with traffic), and the goal is to quickly support queries about the graph, such as, for example, computing a short path between two given vertices. <br/><br/>This project is organized along four main interconnected thrusts. The first thrust focuses on the design of algorithms for dynamic All-Pairs Shortest Paths (APSP), that can withstand an adaptive adversary, and that significantly improve upon the currently known tradeoffs between the approximation quality and the running time, in both directed and undirected graphs. Algorithms for APSP and its variants are often used in combination with the Multiplicative Weights Update framework to efficiently solve various flow and cut problems in graphs, and thus provide a valuable and powerful algorithmic toolkit. The second thrust is directed towards improving and extending known expander-related tools that are often used in the design of fast algorithms for various graph problems. Expanders are playing an increasingly central role in graph algorithms, and these tools can serve as building blocks for many other graph problems. The third thrust focuses on the Maximum Matching problem. Using techniques inspired by algorithms for dynamic shortest path in directed graphs, the goal of this part of the project is to develop fast combinatorial algorithms for both the bipartite and the general version of the problem. The final thrust focuses on designing improved algorithms for maintaining near-optimal matchings in dynamic graphs, building on insights and algorithms developed for the second and the third thrusts.<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

47.070

1

4900

4900

2402283

{'FirstName': 'Julia', 'LastName': 'Chuzhoy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia Chuzhoy', 'EmailAddress': 'cjulia@ttic.edu', 'NSF_ID': '000509131', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Toyota Technological Institute at Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606372803', 'PhoneNumber': '7738340409', 'StreetAddress': '6045 S KENWOOD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': 'ERBJF4DMW6G4', 'ORG_LGL_BUS_NAME': 'TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO', 'ORG_PRNT_UEI_NUM': 'ERBJF4DMW6G4'}

{'Name': 'Toyota Technological Institute at Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606372902', 'StreetAddress': '6045 S KENWOOD AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IL01'}

{'Code': '779600', 'Text': 'Algorithmic Foundations'}

2024~443217

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402283.xml'}

Collaborative Research: AF: Medium: Fast Combinatorial Algorithms for (Dynamic) Matchings and Shortest Paths

NSF

07/01/2024

06/30/2028

{'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'}

A graph is a collection of vertices (points or objects), and a collection of edges (links or lines), that connect pairs of vertices. Graphs are a central and an extensively studied type of mathematical object, and they are commonly used to model various problems in many different real world scenarios and applications. For example, it is natural to model a road network in a city, or a computer network, or friendship relationships in a social network as a graph. There are countless other scenarios where a problem one needs to solve, or an object one desires to study, can be naturally abstracted by a graph. As a consequence, the design of efficient algorithms for central graph problems is fundamental to computer science and beyond, and has a significant impact on many aspects of computation. As the amount of data that applications need to deal with grows, it is increasingly important to ensure that such algorithms are very fast. In this project, the investigators will study several central graph problems, such as Maximum Matching, Maximum Flow, and Shortest Paths, in two basic settings. The first is the standard model where the input graph is known in advance, and the goal is to design a fast algorithm for the problem, with running time not significantly higher than the time required to read the input, which is close to the fastest possible running time. The second is the model of dynamic algorithms, where the graph changes over time (for example, consider a road network, where the computation has to account for roads becoming more or less congested with traffic), and the goal is to quickly support queries about the graph, such as, for example, computing a short path between two given vertices. <br/><br/>This project is organized along four main interconnected thrusts. The first thrust focuses on the design of algorithms for dynamic All-Pairs Shortest Paths (APSP), that can withstand an adaptive adversary, and that significantly improve upon the currently known tradeoffs between the approximation quality and the running time, in both directed and undirected graphs. Algorithms for APSP and its variants are often used in combination with the Multiplicative Weights Update framework to efficiently solve various flow and cut problems in graphs, and thus provide a valuable and powerful algorithmic toolkit. The second thrust is directed towards improving and extending known expander-related tools that are often used in the design of fast algorithms for various graph problems. Expanders are playing an increasingly central role in graph algorithms, and these tools can serve as building blocks for many other graph problems. The third thrust focuses on the Maximum Matching problem. Using techniques inspired by algorithms for dynamic shortest path in directed graphs, the goal of this part of the project is to develop fast combinatorial algorithms for both the bipartite and the general version of the problem. The final thrust focuses on designing improved algorithms for maintaining near-optimal matchings in dynamic graphs, building on insights and algorithms developed for the second and the third thrusts.<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

47.070

1

4900

4900

2402284

{'FirstName': 'Sanjeev', 'LastName': 'Khanna', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sanjeev Khanna', 'EmailAddress': 'sanjeev@cis.upenn.edu', 'NSF_ID': '000308324', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046228', 'StreetAddress': '3401 Walnut Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

{'Code': '779600', 'Text': 'Algorithmic Foundations'}

2024~442096

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402284.xml'}

Postdoctoral Fellowship: MSPRF: Combinatorial Representation Theory and Combinatorial Algebraic Geometry

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Shiliang Gao is “Combinatorial Representation Theory and Combinatorial Algebraic Geometry”. The host institution for the fellowship is Cornell University and the sponsoring scientist is Allen Knutson.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402285

{'FirstName': 'Shiliang', 'LastName': 'Gao', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shiliang Gao', 'EmailAddress': None, 'NSF_ID': '000883022', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Gao, Shiliang', 'CityName': 'Urbana', 'ZipCode': '61801', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'IL13', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Cornell University', 'CityName': 'Ithaca', 'StateCode': 'NY', 'ZipCode': '148534201', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'NY19'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402285.xml'}

Postdoctoral Fellowship: MSPRF: Fundamental Limits on the Learnability of Quantum States and Channels

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Jacob Beckey is “Fundamental Limits on the Learnability of Quantum States and Channels”. The host institution for the fellowship is the University of Illinois at Urbana-Champaign and the sponsoring scientist is Felix Leditzky.<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.

04/19/2024

04/19/2024

None

Grant

47.049

1

4900

4900

2402287

{'FirstName': 'Jacob', 'LastName': 'Beckey', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jacob L Beckey', 'EmailAddress': None, 'NSF_ID': '000903139', 'StartDate': '04/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Beckey, Jacob Lucas', 'CityName': 'Boulder', 'ZipCode': '80309', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Illinois, Urbana-Champage', 'CityName': 'Urbana', 'StateCode': 'IL', 'ZipCode': '618012907', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402287.xml'}

Conference: Two-Year College Data Science Initiative (TYCDSI) Workshop

NSF

03/01/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Kalyn Owens', 'PO_EMAI': 'kowens@nsf.gov', 'PO_PHON': '7032924615'}

This project aims to serve the national interest by engaging two-year college faculty in a workshop aimed at developing new data science associate degree pathways. By fostering collaboration and knowledge exchange, this project seeks to create a robust community of practice that will connect faculty working on such programs with one another and provide them with essential knowledge and skills needed to evolve this field of study. This endeavor will expand programming for students to pursue exciting new career paths in an emerging field. This initiative aligns seamlessly with the mission to advance the frontiers of knowledge, strengthen the Nation's scientific infrastructure, and cultivate a diverse, skilled workforce.<br/><br/>The Two-Year College Data Science Initiative project will support a workshop for two-year college faculty working to develop data science programs at their institutions. Workshop topics include forming interdisciplinary teams, examining exemplary data science curricula, establishing partnerships with baccalaureate institutions, researching regional workforce needs, and program evaluation. After the workshop, participants will continue to connect as a community of practice (CoP) within the American Mathematical Association of Two-Year Colleges (AMATYC). Participants will develop skills and confidence needed to create data science transfer programs at their institution, including a plan for program development, initiating articulation agreements with partner institutions, and plans for program development and evaluation. The NSF IUSE: Innovation in Two-Year College STEM Education (ITYC) Program seeks to accelerate the impact of and advance knowledge about emerging and evidence-based practices in undergraduate STEM education at two-year colleges. <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.

02/22/2024

02/22/2024

None

Grant

47.076

1

4900

4900

2402290

[{'FirstName': 'Kathryn', 'LastName': 'Kozak', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kathryn Kozak', 'EmailAddress': 'Kathryn.Kozak@COCONINO.EDU', 'NSF_ID': '000706235', 'StartDate': '02/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Vinodh Kumar', 'LastName': 'Chellamuthu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Vinodh Kumar Chellamuthu', 'EmailAddress': 'vinodh.chellamuthu@utahtech.edu', 'NSF_ID': '000800307', 'StartDate': '02/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Ambika', 'LastName': 'Silva', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ambika S Silva', 'EmailAddress': 'ambika.silva@canyons.edu', 'NSF_ID': '000941438', 'StartDate': '02/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Rebecca', 'LastName': 'Wong', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rebecca Wong', 'EmailAddress': 'rebecca.wong@amatyc.org', 'NSF_ID': '000941596', 'StartDate': '02/22/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'American Mathematical Association of Two-Year College', 'CityName': 'MEMPHIS', 'ZipCode': '381347642', 'PhoneNumber': '9013335643', 'StreetAddress': '5983 MACON CV', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Tennessee', 'StateCode': 'TN', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'TN08', 'ORG_UEI_NUM': 'S2SVKZRAE575', 'ORG_LGL_BUS_NAME': 'AMERICAN MATHEMATICAL ASSOCIATION OF TWO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'American Mathematical Association of Two-Year College', 'CityName': 'MEMPHIS', 'StateCode': 'TN', 'ZipCode': '381347642', 'StreetAddress': '5983 MACON CV', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Tennessee', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'TN08'}

{'Code': '264Y00', 'Text': 'Innov TwoYear College STEM Ed'}

2024~49401

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402290.xml'}

Postdoctoral Fellowship: MPS-Ascend: Global Kinetic Modeling of Compact Binary Systems

NSF

09/01/2024

08/31/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Hans Krimm', 'PO_EMAI': 'hkrimm@nsf.gov', 'PO_PHON': '7032922761'}

Jorge Ivan Cortés is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (MPS-Ascend) to conduct a program of research and education at the University of California, Santa Cruz. Cortés will use computational simulations to study the extreme environments surrounding neutron stars in binary systems. This study will result in physically-grounded models that will lead to a better understanding of some of the most violent astrophysical phenomena. In tandem with the research program, Cortés will mentor participants of the UC Santa Cruz Lamat Institute, as well as develop and lead workshops (of various topics, e.g., high-performance computing, scientific programming, data visualization, etc.) for students of neighboring community colleges. <br/><br/>Cortés intends to study the particle acceleration and non-thermal emission from neutron stars in binary systems via global fully-kinetic radiative particle-in-cell (PIC) simulations. Through the proposed research program, Cortés will (1) conduct 3D PIC simulations of the interaction between a neutron star’s wind and a nearby companion — taking Black Widow pulsars and TeV binaries as inspiration for simulation setup — and (2) determine the relative role of shock-driven magnetic reconnection in mediating efficient particle acceleration, and the impact of the resulting particle populations on the observed spectra and lightcurves. While the main focus is on compact binary systems, the question of particle acceleration in magnetically-dominated plasmas is of profound relevance to the physics of Poynting-flux-dominated relativistic outflows in other systems, like jets of active galactic nuclei and gamma-ray bursts. Thus, Cortés anticipates the findings of this project to be of broad interest to the whole high-energy astrophysics 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.

05/13/2024

05/13/2024

None

Grant

47.049

1

4900

4900

2402292

{'FirstName': 'Jorge', 'LastName': 'Cortes', 'PI_MID_INIT': 'I', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jorge I Cortes', 'EmailAddress': None, 'NSF_ID': '000954362', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Cortes, Jorge Ivan', 'CityName': 'New York', 'ZipCode': '10027', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California, Santa Cruz', 'CityName': 'Santa Cruz', 'StateCode': 'CA', 'ZipCode': '950641077', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'CA19'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402292.xml'}

Postdoctoral Fellowship: MSPRF: Singularities in Positive Characteristic and Cartier Algebras

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Anna Brosowsky is “Singularities in Positive Characteristic and Cartier Algebras”. The host institution for the fellowship is the University of Nebraska-Lincoln and the sponsoring scientist is Jack Jeffries.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/14/2024

05/14/2024

None

Grant

47.049

1

4900

4900

2402293

{'FirstName': 'Anna', 'LastName': 'Brosowsky', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anna Brosowsky', 'EmailAddress': None, 'NSF_ID': '000901243', 'StartDate': '05/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Brosowsky, Anna', 'CityName': 'Ann Arbor', 'ZipCode': '48109', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Michigan', 'StateCode': 'MI', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'MI06', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Nebraska--Lincoln', 'CityName': 'Lincoln', 'StateCode': 'NE', 'ZipCode': '685880007', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nebraska', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NE01'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402293.xml'}

Postdoctoral Fellowship: MPS-Ascend: Stellar Signatures: The Impacts of Stellar Activity on Exoplanet Transit Transmission Observations

NSF

09/01/2024

08/31/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Hans Krimm', 'PO_EMAI': 'hkrimm@nsf.gov', 'PO_PHON': '7032922761'}

Guadalupe Tovar Mendoza is awarded an NSF MPS-Ascend Fellowship to carry out a program of research and education at Johns Hopkins University. Tovar Mendoza will lead a research program aimed to understand the relationship between exoplanets and their host stars. For the broadening participation component, Tovar Mendoza will partner with an existing prison teaching initiative to develop hands-on STEM lab activities and provide weekly tutoring and mentorship to incarcerated youth and adults. <br/> <br/><br/>This research will use a data-driven approach to mitigate the impacts of stellar magnetic activity on the measurements and interpretation of exoplanet atmospheres. Tovar Mendoza will use JWST data to develop a stellar flare template customized for infrared observations. She will also develop a novel data-driven approach that integrates stellar flares with spots and faculae to accurately account for stellar contamination in transmission spectra. The proposed research will result in publicly-available tools and models that will enable more robust measurements of JWST exoplanet atmospheres.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.049

1

4900

4900

2402296

{'FirstName': 'Guadalupe', 'LastName': 'Tovar Mendoza', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Guadalupe Tovar Mendoza', 'EmailAddress': None, 'NSF_ID': '000890243', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Tovar Mendoza, Guadalupe', 'CityName': 'Seattle', 'ZipCode': '98195', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Washington', 'StateCode': 'WA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'WA07', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Johns Hopkins University', 'CityName': 'Baltimore', 'StateCode': 'MD', 'ZipCode': '212182625', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Maryland', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MD07'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402296.xml'}

Postdoctoral Fellowship: MPS-Ascend: Unveiling Transport and Critical States in Quasicrystalline Optical Lattices and Amplifying Science Engagement Through Digital Storytelling

NSF

05/01/2024

04/30/2027

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

Cedric Wilson is awarded an NSF Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research and activities related to broadening participation by groups underrepresented in STEM. This fellowship to Dr. Wilson supports the research project entitled “Postdoctoral Fellowship: MPS-Ascend: Unveiling Transport and Critical States in Quasicrystalline Optical Lattices and Amplifying Science Engagement Through Digital Storytelling” under the mentorship of a sponsoring scientist. The host institution for the fellowship is Yale University and the sponsoring scientist is Dr. Charles Brown.<br/><br/>Quasicrystaline materials exhibit some, but not all the properties of true crystals. Solid quasicrytaline materials have been observed but it is difficult to manipulate the properties of the samples to fully test our theoretical understanding of these unusual systems. This award supports the construction of an ultracold atom simulator which will allow a much fuller exploration of the properties of systems with quasicrystaline symmetry. In this and other similar quantum simulators, the electrons in a conventional solid are replaced by ultracold atoms and the ions are replaced by an “optical lattice” of interfering laser beams. The parameters of such a lattice are readily adjusted in a way not possible in solid materials. The research team will construct a 10-fold quasi-crystalline optical lattice which will allow a detailed mapping of the simulated quasicrystal’s energy bands. The understanding gained from this project could inform both basic quantum science underlying the properties of quasicrystals, and new technologies based on quantum materials.<br/><br/>The PI plans to increase broadening participation in STEM by producing educational videos to increase the participation of Black and other underrepresented physicists, improving the vitality and diversity of perspectives in the physical sciences. Construction of the quantum simulator will be documented in video, with segments of the construction used as anchors for the educational videos.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/25/2024

04/25/2024

None

Grant

47.049

1

4900

4900

2402298

{'FirstName': 'Cedric', 'LastName': 'Wilson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Cedric C Wilson', 'EmailAddress': None, 'NSF_ID': '000953421', 'StartDate': '04/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Wilson, Cedric C', 'CityName': 'New Haven', 'ZipCode': '06511', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Connecticut', 'StateCode': 'CT', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'CT03', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Yale University', 'CityName': 'New Haven', 'StateCode': 'CT', 'ZipCode': '065118499', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Connecticut', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'CT03'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402298.xml'}

Conference: 2024 Polymer Physics GRC and GRS, Role of Molecular Design in Polymer Physics

NSF

04/01/2024

09/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Andrew Lovinger', 'PO_EMAI': 'alovinge@nsf.gov', 'PO_PHON': '7032924933'}

This award represents partial support by NSF for the 2024 Gordon Research Conference (GRC) on Polymer Physics, which will take place at Mt. Holyoke College on July 21-26, 2024. It will be preceded and accompanied by the Gordon Research Seminar (GRS), organized by postdoctoral scholars and graduate students, on July 20-21. NSF funding will enable attendance of 12 participants through coverage of their registration fees.<br/><br/>According to the project description, this GRC will focus on new experimental, theoretical, and computational developments across a range of emerging topics of societal importance, including polymer upcycling and energy storage materials, as well as fundamental questions such as the role of big data in polymer science and the physics of charge interactions in polyelectrolytes. The specific sessions planned are: (1) Big data in polymer science, (2) Polymer upcycling, (3) Patterning with polymers, (4) Ion- and electron conducting polymers, (5) Polymer phase behavior, (6) Structure and Mechanics, (7) Physics of zwitterions and neutral-charge complexes, and (7) Polymer physics of transport and membranes. These all represent forward-looking, contemporary topics of importance both in terms of fundamental opportunities in the polymer field and of societal relevance.<br/><br/>The conference organizers, invited speakers, and discussion leaders cover a broad spectrum of forefront expertise as well as diversity (gender, minority status, career stage, academic/industrial/government lab). Attention to broadening participation is evidenced also in the planned "Power Hour", which will include speed coaching and mentoring to support the professional growth of women, underrepresented minority, and early career participants. The accompanying GRS will be an additional opportunity for post-doctoral scholars and graduate students to highlight their work and benefit from interactions and mentoring involving senior participants.<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.

10/30/2023

10/30/2023

None

Grant

47.049

1

4900

4900

2402308

{'FirstName': 'Rachel', 'LastName': 'Segalman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Rachel Segalman', 'EmailAddress': 'segalman@ucsb.edu', 'NSF_ID': '000334625', 'StartDate': '10/30/2023', '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', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Rhode Island', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'RI02'}

{'Code': '177300', 'Text': 'POLYMERS'}

2024~12000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402308.xml'}

Collaborative Research: III: Medium: New Machine Learning Empowered Nanoinformatics System for Advancing Nanomaterial Design

NSF

10/01/2023

09/30/2026

{'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': 'Sylvia Spengler', 'PO_EMAI': 'sspengle@nsf.gov', 'PO_PHON': '7032927347'}

The research objective of this proposal is to address the computational challenges in the innovative nanomaterial data analysis or nanoinformatics for predicting nanomaterials properties. Nanomaterials are very small materials that can be used in a variety of applications, including nanomedicine development. The vast quantities of existing experimental data require new nanoinformatics approaches and toolkits for data extraction, analysis, and sharing. This can help guide the safe design of next-generation of nanomedicines with desirable therapeutic activities, while also ensuring they have limited side effects. However, there are currently two critical limitations to using machine learning approaches in nanoinformatics modeling studies. First, most existing data available for modeling were based on a limited number of nanomaterials that also have limited experimental characterization of their chemical properties. Second, despite significant efforts from various researchers, the available modeling approaches that have been developed are applicable only for a specified small set of nanomaterials and have rarely been used to design nanomaterials. This project will address the computational challenges in large-scale nanomaterial data mining, development and validation of an automated informatics framework to digitalize nanostructures, identify molecular markers, and support fast nanomaterial retrieval and integrative analysis. This project will also facilitate the development of novel educational tools to enhance several current courses at Rutgers University, University of Pittsburgh, and University of Minnesota. The investigators will engage the minority students and under-served populations in research activities to give them a better exposure to cutting-edge science research.<br/><br/>In this project, a novel machine learning based nanoinformatics framework will be developed to integrate new digital nanostructure representations with the emerging key computational techniques. The project focuses on designing principled machine learning and data science algorithms for analyzing large-scale nanomaterial data to create new informatics toolkits to facilitate the nanomedicine-based treatments and new nanomaterial design. Specifically, the following research goals will be met in this project: 1) new computational tools to automate nanostructure digitalization; 2) interpretation method to enhance deep learning based predictive models; 3) new cross-modal deep hashing network for fast and accurate nanomaterial data retrieval; and 4) evaluate the proposed methods and system using real large-scale nanomaterial data and release the database and nanoinformatics toolkits to the public. Unlike most existing nanoinformatics strategies that perform modeling and analysis at a small scale, this project will provide promising new directions to the analysis of large-scale complex nanomaterial data by addressing the critical data-intensive analysis issues including efficiency, scalability, and interpretability. The investigations combine rigorous theoretical analysis and emerging application studies and will contribute to both academic research and potential commercialized products. This project will advance and thus extend the relationship between engineering innovation and computational analysis, and hold great promise for nanomaterial and nanomedicine developments.<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.

11/14/2023

11/14/2023

None

Grant

47.070

1

4900

4900

2402311

{'FirstName': 'Hao', 'LastName': 'Zhu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hao Zhu', 'EmailAddress': 'hzhu10@tulane.edu', 'NSF_ID': '000595935', 'StartDate': '11/14/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Tulane University', 'CityName': 'NEW ORLEANS', 'ZipCode': '701185665', 'PhoneNumber': '5048654000', 'StreetAddress': '6823 SAINT CHARLES AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Louisiana', 'StateCode': 'LA', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'LA01', 'ORG_UEI_NUM': 'XNY5ULPU8EN6', 'ORG_LGL_BUS_NAME': 'ADMINISTRATORS OF THE TULANE EDUCATIONAL FUND, THE', 'ORG_PRNT_UEI_NUM': 'XNY5ULPU8EN6'}

{'Name': 'Tulane University', 'CityName': 'NEW ORLEANS', 'StateCode': 'LA', 'ZipCode': '701185665', 'StreetAddress': '6823 SAINT CHARLES AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Louisiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'LA01'}

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

2022~250004

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402311.xml'}

Postdoctoral Fellowship: MPS-Ascend: Determining Network Properties Using Graph Theory

NSF

08/01/2024

07/31/2027

{'Value': 'Fellowship Award'}

{'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'}

Dr. Aleyah Dawkins is awarded a National Science Foundation Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research, education, and activities related to broadening participation by groups underrepresented in STEM. This fellowship supports the research project entitled "MPS-Ascend: Determining Network Properties Using Graph Theory". The project activities will be conducted at the host institution, Carnegie Mellon University, under the mentorship of Dr. Michael Young.<br/> <br/><br/>Dawkins will research various topics in graph theory, addressing extremal problems with relations to post-exascale supercomputing and networks more generally as well as anti-Ramsey problems. Dawkins will work to broaden participation in mathematics by creating and implementing a program in Western Pennsylvania to teach and review the mathematical skills needed for the trade school entry exams, advancing mathematical understanding and enabling underrepresented groups, particularly those members outside of high school, to take part in apprenticeships and trade opportunities. To better support those currently in the mathematics community, Dawkins will lead undergraduate research as part of the Summer Undergraduate Applied Mathematics Institute and mentor students as part of the Mellon College of Science Summer Scholars Program at Carnegie Mellon University.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.049

1

4900

4900

2402312

{'FirstName': 'Aleyah', 'LastName': 'Dawkins', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Aleyah Dawkins', 'EmailAddress': None, 'NSF_ID': '000966920', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Dawkins, Aleyah', 'CityName': 'St. Leonard', 'ZipCode': '206852523', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Maryland', 'StateCode': 'MD', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'MD05', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Carnegie Mellon University', 'CityName': 'Pittsburgh', 'StateCode': 'PA', 'ZipCode': '152133815', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'PA12'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402312.xml'}

Postdoctoral Fellowship: MSPRF: A Theory of Feature Learning

NSF

09/01/2024

08/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Margalit Glasgow is “A Theory of Feature Learning”. The host institution for the fellowship is the Massachusetts Institute of Technology and the sponsoring scientist is Alexander Rakhlin.<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.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402314

{'FirstName': 'Margalit', 'LastName': 'Glasgow', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Margalit R Glasgow', 'EmailAddress': None, 'NSF_ID': '000970866', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Glasgow, Margalit R', 'CityName': 'Stanford', 'ZipCode': '94305', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '16', 'CONGRESS_DISTRICT_ORG': 'CA16', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Massachusetts Institute of Technology', 'CityName': 'Cambridge', 'StateCode': 'MA', 'ZipCode': '021394307', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402314.xml'}

Postdoctoral Fellowship: MPS-Ascend: Harmonic Analysis Techniques in the Study of Operators in Several Complex Variables

NSF

08/01/2024

07/31/2027

{'Value': 'Fellowship Award'}

{'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'}

Dr. Brandon Sweeting is awarded a National Science Foundation Mathematical and Physical Sciences Ascending Postdoctoral Research Fellowship (NSF MPS-Ascend) to conduct a program of research, education, and activities related to broadening participation by groups underrepresented in STEM. This fellowship supports the research project entitled "Harmonic Analysis Techniques in the Study of Operators in Several Complex Variables". The project activities will be conducted at the host institution, Washington University in St. Louis, under the mentorship of Dr. Brett Wick. <br/><br/>This project aims to further the application of harmonic analysis techniques in the study of operators in several complex variables. Building on their previous work, the PI plans to investigate several problems involving a novel weighted norm inequality (and its associated class of weights) for the Bergman projection. This includes investigating general boundedness properties and their geometric implications and delving deeper into finer properties, such as the extrapolation of such estimates and factorization of corresponding weights. The broader impacts portion of this project will be felt across multiple levels. Locally, the PI will contribute to the Joint Post-baccalaureate Program (JPP) at Washington University in St. Louis, aiming to support the progression of prospective doctoral students from underrepresented groups in mathematics. Additionally, the PI will engage with the WashU Math Circle, aiming to spark interest in mathematics among younger students and increase recruitment from underserved communities. Regionally, the PI will collaborate with universities in the greater St. Louis area to help organize a conference targeting students from underrepresented groups in mathematics, providing a platform for scholarly exchange and collaboration. Nationally, the PI plans to collaborate with the Math Alliance as a mentor, offering guidance to students from underrepresented groups on pursuing PhD programs in mathematics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.049

1

4900

4900

2402316

{'FirstName': 'Brandon', 'LastName': 'Sweeting', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brandon S Sweeting', 'EmailAddress': None, 'NSF_ID': '000963797', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Sweeting, Brandon Scott', 'CityName': 'Tuscaloosa', 'ZipCode': '35404', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AL07', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Washington University in St. Louis', 'CityName': 'St. Louis', 'StateCode': 'MO', 'ZipCode': '631304862', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MO01'}

{'Code': '187Y00', 'Text': 'ASCEND - MPS'}

2024~200000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402316.xml'}

SBIR Phase I: High-Throughput Direct Ratiometric Calorimeter for Drug Discovery

NSF

03/01/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Henry Ahn', 'PO_EMAI': 'hahn@nsf.gov', 'PO_PHON': '7032927069'}

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the production of the first high-throughput and low-cost Differential Scanning Calorimetry (DSC) instrument. DSC is an extremely powerful tool for drug discovery that has low adoption due to high costs and low throughput of only one sample every two hours. The power of DSC is the thermodynamic measurements, which do not require any prior specific knowledge of the molecules being studied and do not require any labels. By not requiring any specific knowledge, it is possible to screen a wider variety and a higher quantity of compounds in the search for new drug molecules. The instrument to be developed from this project will be capable of processing 24 to 96 samples every two hours, thereby making DSC-based drug discovery commercially viable. Innovations from this project will also reduce the cost of producing DSC instruments, making them widely accessible for research and educational purposes. An added benefit of the reduced costs is the potential also to be utilized as a teaching tool. The combination of unique drug discovery knowledge and low costs will serve to reduce the costs associated with discovering and analyzing potential new drug molecules.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project comprises the research and development activities required to produce a high-throughput differential scanning calorimeter. A unique feature of the proposed instrument is the utilization of single-use, sterile sample cartridges that can hold 24 to 96 samples. These cartridges will enable high-throughput sample processing compared to currently available instruments. Current instruments use sensors and heaters that are permanently attached to the sample cells. This project will address the technical challenges associated with using non-permanently attached sensors and heaters to enable a sample cartridge that can be inserted and removed from the instrument. Activities of this project will identify optimal materials and components and determine the layout of sample cells to maximize the number of sample cells in each cartridge. These activities will minimize risks associated with producing a production-ready instrument and deliver maximum customer benefit.<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.

02/29/2024

02/29/2024

None

Grant

47.084

1

4900

4900

2402322

{'FirstName': 'Matthew', 'LastName': 'Eskew', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Matthew W Eskew', 'EmailAddress': 'meskew@thermocaplabs.com', 'NSF_ID': '000947302', 'StartDate': '02/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'THERMOCAP LABORATORIES INC', 'CityName': 'PORTLAND', 'ZipCode': '972102788', 'PhoneNumber': '9713352877', 'StreetAddress': '2350 NW SAVIER ST UNIT 108', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'OR01', 'ORG_UEI_NUM': 'THX7KH767NT3', 'ORG_LGL_BUS_NAME': 'THERMOCAP LABORATORIES INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'THERMOCAP LABORATORIES INC', 'CityName': 'PORTLAND', 'StateCode': 'OR', 'ZipCode': '972102788', 'StreetAddress': '2350 NW SAVIER ST UNIT 108', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'OR01'}

{'Code': '537100', 'Text': 'SBIR Phase I'}

2024~275000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402322.xml'}

Collaborative Research: CSR: Medium: DISCO: Disciplined Data Science Framework for Storage I/O Management

NSF

10/01/2024

09/30/2028

{'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': 'Erik Brunvand', 'PO_EMAI': 'ebrunvan@nsf.gov', 'PO_PHON': '7032928950'}

In the multi-billion-dollar computer storage industry, efficient operation is essential for achieving good application accuracy, reliability, and performance. Traditionally, this efficiency has relied on heuristic algorithms with parameters that are selected by humans. However, as workloads and devices become increasingly complex, manual tuning by humans becomes impractical. The DISCO project will address how to systematically leverage data science (DS) to revolutionize the many facets of storage I/O decision making. More specifically, DISCO’s research objectives are to (a) pioneer a comprehensive data science pipeline tailored to enhance the storage I/O decision-making process by in-depth exploration of intricate concepts such as data augmentation, precise labeling, noise filtration, meticulous model engineering, drift detection, and many others; (b) target both classical I/O policies and open problems in the context of modern device features as well as venture to “uncharted territories" such as investigating what data science can reveal from billions of performance data points; and (c) comprehensively encompass high-, medium-, and low-frequency decision making and address each of their own unique challenges, but at the same time address cross-cutting concerns such as all-in-one integration. <br/><br/>The DISCO project will bring significant broader impacts, especially in training future storage data scientists. The Data Storage Research Vision 2025 (DSRV) paper from an NSF workshop emphasized "the deficit of the professionals who are knowledgeable in both storage and AI areas" where "the number of fresh graduate students with this combination of skills is small, and training existing staff takes time and effort" and "storage companies are also experiencing significant competition from other industries that require AI/ML knowledge." In this context, the DISCO project will train graduate and undergraduate students to be part of the next-generation storage data scientists. The project will also release open ML-for-storage testbeds along with a public storage data science curriculum. In terms of technology transfer, the DSRV workshop paper also states that “storage companies are excited by the opportunities of using ML to improve performance and reliability, and develop quality products.” The DISCO project will produce sophisticated ML-for-storage solutions for solid-state drive (SSD) systems, potentially making a positive impact to the SSD market that is forecasted to reach over $50 billion by 2025.<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.

07/11/2024

07/11/2024

None

Grant

47.070

1

4900

4900

2402327

[{'FirstName': 'Haryadi', 'LastName': 'Gunawi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Haryadi Gunawi', 'EmailAddress': 'haryadi@cs.uchicago.edu', 'NSF_ID': '000626546', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sandeep', 'LastName': 'Madireddy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sandeep Madireddy', 'EmailAddress': 'smadireddy@anl.gov', 'NSF_ID': '000841307', 'StartDate': '07/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'ZipCode': '606375418', 'PhoneNumber': '7737028669', 'StreetAddress': '5801 S ELLIS AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Illinois', 'StateCode': 'IL', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'IL01', 'ORG_UEI_NUM': 'ZUE9HKT2CLC9', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CHICAGO', 'ORG_PRNT_UEI_NUM': 'ZUE9HKT2CLC9'}

{'Name': 'University of Chicago', 'CityName': 'CHICAGO', 'StateCode': 'IL', 'ZipCode': '606375418', 'StreetAddress': '5801 S ELLIS AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'IL01'}

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

2024~341502

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402327.xml'}

Collaborative Research: CSR: Medium: DISCO: Disciplined Data Science Framework for Storage I/O Management

NSF

10/01/2024

09/30/2028

{'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': 'Erik Brunvand', 'PO_EMAI': 'ebrunvan@nsf.gov', 'PO_PHON': '7032928950'}

In the multi-billion-dollar storage industry, efficient operation of systems is essential for achieving application accuracy, reliability, and performance. Traditionally, this efficiency has relied on heuristics with adjustable parameters. However, as workloads and devices become increasingly complex, manual tuning becomes impractical. The DISCO project (which stands for “disciplined data science framework for storage I/O management”) will address how to systematically leverage data science (DS) to revolutionize the many facets of storage I/O decision making. More specifically, DISCO’s research objectives are to (a) pioneer a comprehensive data science pipeline tailored to enhance the storage I/O decision-making process by in-depth exploration of intricate concepts such as data augmentation, precise labeling, noise filtration, meticulous model engineering, drift detection, and many others; (b) target both classical I/O policies (e.g., I/O admission, prefetching) and open problems in the context of modern device features (multi-stream and KV-SSDs) as well as venture to “uncharted territories" such as investigating what data science can reveal from billions of performance data points; and (c) comprehensively encompass high-, medium-, and low-frequency decision making and address each of their own unique challenges, but at the same time address cross-cutting concerns such as all-in-one integration. <br/><br/>The DISCO project will bring significant broader impacts, especially in training future storage data scientists. The Data Storage Research Vision 2025 (DSRV) paper from an NSF workshop emphasized "the deficit of the professionals who are knowledgeable in both storage and AI areas" where "the number of fresh graduate students with this combination of skills is small, and training existing staff takes time and effort" and "storage companies are also experiencing significant competition from other industries that require AI/ML knowledge." In this context, the DISCO project will train graduate and undergraduate students to be part of the next-generation storage data scientists. The project will also release open ML-for-storage testbeds along with a public storage data science curriculum. In terms of technology transfer, the DSRV workshop paper also states that “storage companies are excited by the opportunities of using ML to improve performance and reliability, and develop quality products.” The DISCO project will produce sophisticated ML-for-storage solutions for solid-state drive (SSD) systems, potentially making a positive impact to the SSD market that is forecasted to reach over $50 billion by 2025.<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.

07/11/2024

07/11/2024

None

Grant

47.070

1

4900

4900

2402328

{'FirstName': 'Janki', 'LastName': 'Bhimani', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Janki S Bhimani', 'EmailAddress': 'janki.bhimani@fiu.edu', 'NSF_ID': '000805867', 'StartDate': '07/11/2024', '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': '331990001', 'StreetAddress': '11200 SW 8TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '26', 'CONGRESS_DISTRICT_PERF': 'FL26'}

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

2024~312066

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402328.xml'}

Collaborative Research: GEM: Modeling Ionospheric and Magnetospheric Current Interactions with Submarine Cables

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Chia-Lin Huang', 'PO_EMAI': 'chihuang@nsf.gov', 'PO_PHON': '7032927544'}

The project aims to address the impact of geomagnetic disturbances (GMDs) on submarine cables. Submarine cables are vital as they carry a significant portion of global internet traffic. Disruptions to these cables due to GMDs can lead to widespread communication outages, affecting economies, national security, and daily life. GMDs caused by space weather events like solar storms, induce geomagnetically induced currents (GICs) beneath the Earth's surface and within bodies of water. These currents can produce hazardous voltages in submarine cables, potentially leading to failures. However, the detailed behavior of these induced currents in modern submarine cables during extreme space weather is not well understood. This project seeks to characterize the induced underwater geoelectric fields (GEFs) and potential along submarine cables during various geomagnetic disturbances. The project will benefit various stakeholders, including space weather researchers, submarine cable operators, policymakers, and the broader scientific community. Moreover, this research will facilitate technology transfer and provide practical insights for disaster management and policy development. It supports the training of a postdoctoral researcher, a female early-career scientist, and a mid-career scientist, enhancing diversity and education in the field. <br/><br/>The project aims to model interactions between ionospheric and magnetospheric currents and submarine cables during geomagnetic disturbances (GMDs). GMDs induce geomagnetically induced currents (GICs) beneath the Earth's surface and within bodies of water, posing significant risks to submarine cables, which are critical for global internet traffic. The main objective is to characterize the induced underwater geoelectric fields (GEFs) and potential along submarine cables during various geomagnetic disturbances. Specifically, the project will investigate: (1) the types of GMDs that may produce hazardous voltages, (2) how magnetospheric and ionospheric currents influence underwater GEFs, and (3) the potential impact of solar superstorms on submarine cables. The work will utilize the SCUBAS (Submarine Cable Upset By Auroral Streams) model, which predicts voltages induced in submarine cables during geomagnetic disturbances. The model leverages data from magnetotelluric (MT) studies and integrates magnetic field disturbance inputs. This research will significantly enhance our understanding of how GMDs impact submarine cables under various conditions, including extreme space weather events. The project will gain insights into the GMDs that generate significant GEFs and potential along submarine cables, contributing to better risk assessment and mitigation planning. Research fills a critical knowledge gap using a novel combination of satellite and ground-based datasets and a comprehensive computational model. The findings will aid in risk assessment, disaster management, and policy 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.

08/28/2024

08/28/2024

None

Grant

47.050

1

4900

4900

2402335

[{'FirstName': 'Joseph', 'LastName': 'Baker', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joseph B Baker', 'EmailAddress': 'bakerjb@vt.edu', 'NSF_ID': '000330853', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Xueling', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Xueling Shi', 'EmailAddress': 'xueling7@vt.edu', 'NSF_ID': '000839323', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Shibaji', 'LastName': 'Chakraborty', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Shibaji Chakraborty', 'EmailAddress': 'shibaji7@vt.edu', 'NSF_ID': '000930829', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Virginia Polytechnic Institute and State University', 'CityName': 'BLACKSBURG', 'ZipCode': '240603359', 'PhoneNumber': '5402315281', 'StreetAddress': '300 TURNER ST NW', 'StreetAddress2': 'STE 4200', 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'VA09', 'ORG_UEI_NUM': 'QDE5UHE5XD16', 'ORG_LGL_BUS_NAME': 'VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'X6KEFGLHSJX7'}

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

[{'Code': '575000', 'Text': 'MAGNETOSPHERIC PHYSICS'}, {'Code': '808900', 'Text': 'Space Weather Research'}]

2024~199912

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402335.xml'}

Collaborative Research: GEM: Modeling Ionospheric and Magnetospheric Current Interactions with Submarine Cables

NSF

09/01/2024

08/31/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Chia-Lin Huang', 'PO_EMAI': 'chihuang@nsf.gov', 'PO_PHON': '7032927544'}

The project aims to address the impact of geomagnetic disturbances (GMDs) on submarine cables. Submarine cables are vital as they carry a significant portion of global internet traffic. Disruptions to these cables due to GMDs can lead to widespread communication outages, affecting economies, national security, and daily life. GMDs caused by space weather events like solar storms, induce geomagnetically induced currents (GICs) beneath the Earth's surface and within bodies of water. These currents can produce hazardous voltages in submarine cables, potentially leading to failures. However, the detailed behavior of these induced currents in modern submarine cables during extreme space weather is not well understood. This project seeks to characterize the induced underwater geoelectric fields (GEFs) and potential along submarine cables during various geomagnetic disturbances. The project will benefit various stakeholders, including space weather researchers, submarine cable operators, policymakers, and the broader scientific community. Moreover, this research will facilitate technology transfer and provide practical insights for disaster management and policy development. It supports the training of a postdoctoral researcher, a female early-career scientist, and a mid-career scientist, enhancing diversity and education in the field. <br/><br/>The project aims to model interactions between ionospheric and magnetospheric currents and submarine cables during geomagnetic disturbances (GMDs). GMDs induce geomagnetically induced currents (GICs) beneath the Earth's surface and within bodies of water, posing significant risks to submarine cables, which are critical for global internet traffic. The main objective is to characterize the induced underwater geoelectric fields (GEFs) and potential along submarine cables during various geomagnetic disturbances. Specifically, the project will investigate: (1) the types of GMDs that may produce hazardous voltages, (2) how magnetospheric and ionospheric currents influence underwater GEFs, and (3) the potential impact of solar superstorms on submarine cables. The work will utilize the SCUBAS (Submarine Cable Upset By Auroral Streams) model, which predicts voltages induced in submarine cables during geomagnetic disturbances. The model leverages data from magnetotelluric (MT) studies and integrates magnetic field disturbance inputs. This research will significantly enhance our understanding of how GMDs impact submarine cables under various conditions, including extreme space weather events. The project will gain insights into the GMDs that generate significant GEFs and potential along submarine cables, contributing to better risk assessment and mitigation planning. Research fills a critical knowledge gap using a novel combination of satellite and ground-based datasets and a comprehensive computational model. The findings will aid in risk assessment, disaster management, and policy 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.

08/28/2024

08/28/2024

None

Grant

47.050

1

4900

4900

2402336

{'FirstName': 'Michael', 'LastName': 'Hartinger', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Hartinger', 'EmailAddress': 'mhartinger@spacescience.org', 'NSF_ID': '000614950', 'StartDate': '08/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'SPACE SCIENCE INSTITUTE', 'CityName': 'BOULDER', 'ZipCode': '803012575', 'PhoneNumber': '7209745888', 'StreetAddress': '4765 WALNUT ST STE B', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'KCBXMSFGQGY3', 'ORG_LGL_BUS_NAME': 'SPACE SCIENCE INSTITUTE', 'ORG_PRNT_UEI_NUM': 'KCBXMSFGQGY3'}

{'Name': 'SPACE SCIENCE INSTITUTE', 'CityName': 'BOULDER', 'StateCode': 'CO', 'ZipCode': '803012575', 'StreetAddress': '4765 WALNUT ST STE B', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

{'Code': '575000', 'Text': 'MAGNETOSPHERIC PHYSICS'}

2024~49697

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402336.xml'}

CAREER: Human-Inspired Multi-Robot Navigation

NSF

10/01/2023

05/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Cang Ye', 'PO_EMAI': 'cye@nsf.gov', 'PO_PHON': '7032924702'}

Indoor mobile robots are increasingly becoming a part of our lives. Whether there are Roombas cleaning the floor or Kiva robots delivering parts in warehouses, the robots should be able to avoid collisions while successfully completing their tasks. However, despite the maturity of existing motion planning techniques and the recent rise of learning and big data techniques, mobile robots still lack the decision making ability of humans. This Faculty Early Career Development (CAREER) project will develop techniques for efficient and socially intelligent multi-robot navigation, shaping the next generation of mobile robots that can reason about how their actions influence the other agents present in the scene and act accordingly, much like humans do. The resulting advances will facilitate the successful deployment of "thinking" mobile robots that can be seamlessly integrated into our homes and workspaces. This research spans across different areas, including motion planning, machine learning, and reinforcement learning. With its interdisciplinary nature and relevance for modern technologies, it is ideal for inspiring the next generation of students and exposing the broader community to STEM areas couched in progressive applications in robotics and AI. The project includes integrated educational, research, and outreach activities for K-12, undergraduate, and graduate students, promoting a high level of participation by women and underrepresented minorities, and developing new courses and updated curricula related to robotics.<br/><br/>This project will introduce a human-inspired paradigm shift in the design of multi-robot navigation algorithms. Humans know when they have to be polite and yield to others and when to take decisive actions, efficiently performing complex navigation tasks without collisions. The objective of this project is to enable such behavior on mobile robots by leveraging publicly available human-human interaction data and our own human-robot interaction experiments along with coupling motion planning with learning techniques. Specifically, the project will focus on two two inter-related research thrusts that will lead to i) new algorithms that take advantage of human trajectory datasets to learn what controls humans take in different interaction scenarios; ii) new approaches that enhance existing local navigation planners with the learned controls to enable human-like decision making; iii) a reinforcement learning framework for multi-robot navigation that generalizes robot navigation policies to unknown interactions scenarios; iv) new datasets involving interactions between humans and robots, and subsequently v) new algorithms for multi-robot navigation in human-populated environments. This work will be evaluated both in simulation and on real robots, and related algorithms and datasets will be made publicly available to facilitate further research and exploration by the robotics and AI community. If successful, this project will shape the next generation of indoor mobile robots that can enrich our quality of life and work, and has the potential to significantly benefit society through its integrated education plan.<br/><br/>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). This project is jointly funded by CISE/IIS, the Established Program to Stimulate Competitive Research (EPSCoR), and ENG/CMMI.<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.

11/16/2023

11/16/2023

None

Grant

47.041, 47.070

1

4900

4900

2402338

{'FirstName': 'Ioannis', 'LastName': 'Karamouzas', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ioannis Karamouzas', 'EmailAddress': 'ioannis@cs.ucr.edu', 'NSF_ID': '000737010', 'StartDate': '11/16/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Riverside', 'CityName': 'RIVERSIDE', 'ZipCode': '925210001', 'PhoneNumber': '9518275535', 'StreetAddress': '200 UNIVERSTY OFC BUILDING', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '39', 'CONGRESS_DISTRICT_ORG': 'CA39', 'ORG_UEI_NUM': 'MR5QC5FCAVH5', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF CALIFORNIA AT RIVERSIDE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Riverside', 'CityName': 'RIVERSIDE', 'StateCode': 'CA', 'ZipCode': '925210001', 'StreetAddress': '200 UNIVERSTY OFC BUILDING', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '39', 'CONGRESS_DISTRICT_PERF': 'CA39'}

{'Code': '144Y00', 'Text': 'FRR-Foundationl Rsrch Robotics'}

['2021~151040', '2022~91900']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402338.xml'}

LEAPS-MPS: Emergent Mechanics of a Living Material

NSF

12/15/2023

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Kathleen McCloud', 'PO_EMAI': 'kmccloud@nsf.gov', 'PO_PHON': '7032928236'}

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). <br/><br/>Nature provides fantastic examples of behaviors that are not currently possible with engineered materials. For example, fish within a school process information to stay together as an organized unit, yet the school is capable of reorganizing quickly and changing its overall shape. This award investigates the structural organization, and changes therein, of a school of fish as a way to identify the mechanical possibilities of self-driven materials. Applications of this work are to define new rules and design principles for materials engineering. This award supports the expansion of interdisciplinary research topics for undergraduate students at Seattle University and generates opportunities for undergraduate students to present work at academic conferences. Furthermore, this award initiates early career development and support for local high school students by funding immersive traineeships.<br/><br/>Collective behaviors as seen in schools of fish and flocks of birds demonstrate the ability for individuals to form dynamic ordered groups. These behaviors are a consequence of simple interactions between each constituent. However, simple interactions between individuals are also observed in pair-wise interactions that determine traditional materials structure (ex: crystal lattice spacing) and mechanical properties (ex: bond spring constant). This award uses motivations from equilibrium materials to characterize the structure and define mechanical properties of non-equilibrium schools of fish, allowing a comparison between traditional materials science and living materials. Consequently, this will increase fundamental understandings of living systems and inspire new materials design. This award addresses the need for simple and controllable experimental realizations of active materials. Further, this formulates a perspective to treat an active system as a material with bulk mechanical 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.

12/12/2023

04/12/2024

None

Grant

47.049

1

4900

4900

2402345

{'FirstName': 'Pasha', 'LastName': 'Tabatabai', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Pasha Tabatabai', 'EmailAddress': 'pashatab@calpoly.edu', 'NSF_ID': '000855441', 'StartDate': '12/12/2023', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'ZipCode': '934079000', 'PhoneNumber': '8057562982', 'StreetAddress': '1 GRAND AVE BLDG 15', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'MC4RJJM9XLT5', 'ORG_LGL_BUS_NAME': 'CAL POLY CORPORATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California Polytechnic State University Foundation', 'CityName': 'SAN LUIS OBISPO', 'StateCode': 'CA', 'ZipCode': '934079000', 'StreetAddress': '1 GRAND AVE BLDG 15', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

{'Code': '125300', 'Text': 'OFFICE OF MULTIDISCIPLINARY AC'}

2021~58918

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402345.xml'}

Quantifying How Rain on Snow Events Change Snowpack Properties Using Caribou and Muskoxen as Test Cases

NSF

04/01/2025

03/31/2030

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Colleen Strawhacker', 'PO_EMAI': 'colstraw@nsf.gov', 'PO_PHON': '7032927432'}

Rain-on-snow (ROS) events – when rain falls on a cold snowpack, freezes, and creates a hard ice layer - are increasing in frequency across the Arctic. These events have dramatic and far-reaching impacts on the Arctic system for humans, society, infrastructure, wildlife, ecosystem function, soil, and vegetation. An assessment of the physical impacts of ROS events on snow and ice properties is urgently needed as the Arctic system warms rapidly and climate regimes shift at unprecedented rates. This project will assess and quantify the effects of ROS events on Arctic snowpacks through a combination of snow and ice field measurements, historical ROS observations, and the development of an ice-layer model (IceLayer) that quantifies ROS ice layers formed in snow. IceLayer will be used to identify thresholds in key snow and ice properties that influence winter mobility and forage accessibility for caribou and muskoxen. These species are a central component of Arctic systems, because human communities and ecosystems depend on them culturally, environmentally, and economically. <br/><br/>Despite growing concern regarding major Arctic system impacts resulting from ROS events, we lack methodologies to quantify and evaluate the effects of ROS on the snowpack (e.g., melting snow and subsequent ice layer formation on top, within, or below the snowpack). This project will quantify how ROS events modify snow and ice properties at spatiotemporal scales relevant to Arctic system processes, to produce information on ice-layer formation, thickness, snowpack position, and strength resulting from ROS events. This project will use the most widely applied snow modeling system in the world, SnowModel, and extend and enhance its current capabilities to simulate ROS-induced ice-layer formation and associated snowpack property changes, including ice layer location within the snowpack, thickness, strength, timing, duration, and areal extent, across space and time. To guide model development, researchers will collect field observations of ROS-induced snowpack changes in Alaska, Canada, Greenland, Svalbard, and Finland, and collate historical records of ROS observations across the Arctic. The scope of this project will include Arctic land areas and snow environments inhabited by two wildlife species that are currently exposed to and directly impacted by ROS events: caribou / reindeer (Rangifer tarandus) and muskoxen (Ovibos moschatus). To ensure the benefits of IceLayer are as useful as possible for different audiences, this project will include an outreach event for youth in rural western Alaska, a snow and ice field measurement workshop for collaborators, a scientific workshop on using the IceLayer model, and a hybrid meeting to provide IceLayer to interest groups, citizens, and professionals concerned with the societal impacts of ROS events.<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.

08/25/2024

08/25/2024

None

Grant

47.078

1

4900

4900

2402348

[{'FirstName': 'Glen', 'LastName': 'Liston', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Glen E Liston', 'EmailAddress': 'glen.liston@colostate.edu', 'NSF_ID': '000433389', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Kelly', 'LastName': 'Elder', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kelly J Elder', 'EmailAddress': 'kevin.elder@usda.gov', 'NSF_ID': '000414559', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Adele', 'LastName': 'Reinking', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adele K Reinking', 'EmailAddress': 'adele.reinking@colostate.edu', 'NSF_ID': '000779622', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Stine', 'LastName': 'Pedersen', 'PI_MID_INIT': 'H', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stine H Pedersen', 'EmailAddress': 'stine.pedersen@colostate.edu', 'NSF_ID': '000790607', 'StartDate': '08/25/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'Colorado State University', 'CityName': 'FORT COLLINS', 'ZipCode': '805212807', 'PhoneNumber': '9704916355', 'StreetAddress': '601 S HOWES ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Colorado', 'StateCode': 'CO', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'CO02', 'ORG_UEI_NUM': 'LT9CXX8L19G1', 'ORG_LGL_BUS_NAME': 'COLORADO STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Colorado State University', 'CityName': 'FORT COLLINS', 'StateCode': 'CO', 'ZipCode': '805212807', 'StreetAddress': '601 S HOWES ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Colorado', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'CO02'}

[{'Code': '520500', 'Text': 'ARC Rsch Support & Logistics'}, {'Code': '521900', 'Text': 'ARCSS-Arctic System Science'}]

2024~2236536

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402348.xml'}

Wavefunction Embedding: A Toolbox for Transition Metal Spectroscopy

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': 'Michel Dupuis', 'PO_EMAI': 'mdupuis@nsf.gov', 'PO_PHON': '7032922919'}

With support from the Chemical Theory, Models and Computational Methods program in the Division of Chemistry, Professor John Herbert of Ohio State University is developing theoretical methods to understand the spectroscopy of transition metal systems. Transition metal materials are poised to be an important component of a solar energy economy, as photocatalysts that use solar energy to formally split water, giving molecular hydrogen that can be used as fuel, for example, or to convert captured CO2 into useful chemical feedstocks. Ultrafast x-ray spectroscopy has recently emerged as a promising experimental tool to probe the properties and function of these materials at the atomic level, but theoretical simulations are needed to interpret the results. However, existing theoretical methods are either too expensive to address realistic materials, or else do not offer sufficient accuracy to be interpretative. These issues will be addressed by the Herbert research group. Computational tools developed as part of this work will be made available to the research community in widely used software packages that will also be used to modernize teaching activities, incorporating research problems into the classroom via partnership with Ohio Supercomputer Center. A broad array of students will engage in this research, including students recruited from programs designed to broaden participation in science, such as an American Chemical Society Bridge program and an NSF-funded Research Experiences for Undergraduates program that targets students from small Rust Belt communities.<br/><br/>Chemical dynamics and materials science are in the midst of an ultrafast x-ray revolution, with new light sources allowing for time resolution ranging from 100 femtoseconds down to tens of attoseconds. These emerging experimental techniques are poised to provide unprecedented mechanistic information on myriad transition metal catalyst systems. To complement this new generation of spectroscopies, and new set of computational tools is required. Tools developed as part of this work have the potential to connect the structure of materials to the behavior of spin and charge carriers--electrons and holes--that are probed experimentally. Accordingly, under this award, the Herbert research group will develop methods to simulate ultrafast transient x-ray experiments, and core-level spectroscopy generally, in systems containing transition metals. Target systems include solid-state metal oxides that are promising candidates for visible band-gap photocatalysts. A variety of new models and algorithms will be pursued, including modifications to excited-state density functional theory (DFT) that are expected to be better equipped to handle systems with an open-shell ground state, avoiding severe spin contamination. Hybrid wavefunction/DFT methods that move beyond conventional DFT will also be pursued. These include wavefunction-in-DFT embedding, to bring highly correlated, multi-reference wavefunctions for spectroscopy into the solid state, thereby avoiding the need to construct and validate finite cluster models of materials.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/18/2024

04/18/2024

None

Grant

47.049

1

4900

4900

2402361

{'FirstName': 'John', 'LastName': 'Herbert', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John M Herbert', 'EmailAddress': 'herbert@chemistry.ohio-state.edu', 'NSF_ID': '000409963', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Ohio State University', 'CityName': 'COLUMBUS', 'StateCode': 'OH', 'ZipCode': '432101350', 'StreetAddress': '151 W. Woodruff Ave.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'OH03'}

{'Code': '688100', 'Text': 'Chem Thry, Mdls & Cmptnl Mthds'}

2024~508776

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402361.xml'}

Collaborative Research: Developing a 500 kyr speleothem growth history near the southern Laurentide Ice Sheet margin in New York State

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Jonathan G Wynn', 'PO_EMAI': 'jwynn@nsf.gov', 'PO_PHON': '7032924725'}

During the ice ages of the past few million years, ice sheets repeatedly grew southward from the Arctic. The ice sheet in North America advanced as far south as New York City during the most recent ice age, but little is known about its size before then. This project will determine if the ice sheet also reached New York during each of the past five ice ages using cave formations (speleothems) in the area. The findings will show how consistently (or not) ice sheets respond to drivers of climate change and improve estimates of how high sea levels rose during warm periods between ice ages. Given that ongoing ice sheet melt is projected to accelerate in our warming world, the real-world data generated in this research will provide timely information on how ice sheets and climate are linked. The most compelling findings will be delivered to the public through tours at a popular show cave and shared with the caving community through National Speleological Society print and online media. The scientists will participate in the NSS’s “Request a Speleoguest” program linking K-12 educators with cave experts, as well as develop an educational module, including caving trips, for a New York City charter school that serves primarily low-income students.<br/><br/>This project will apply a well-known but overlooked approach to constraining the Laurentide Ice Sheet’s (LIS) southern limit during glacial maxima of the past 500 kyr: developing a speleothem growth chronology within the ice sheet’s footprint. 150 uranium-thorium ages will be measured on a large collection of speleothems from 17 caves in east-central New York State, only 100-200 km inboard of its Last Glacial Maximum (LGM) margin. This chronology can provide a binary proxy of ice cover through time – speleothem growth typically occurs when ice-free conditions permit liquid water charged with soil CO2 to percolate into a well-ventilated cave, whereas growth usually halts when an area is glacier covered. Stable isotope profiles will also be measured along speleothems to develop a long climate reconstruction. The results will help address four longstanding problems in paleoclimate. (1) Did the LIS advance to near its LGM extent every glaciation? (2) How are interglacial sea level markers affected by the size and timing of prior ice loading? (3) Were abrupt glacial climate events related to rerouting of freshwater runoff by an oscillating LIS margin in eastern North America? (4) How were orbital and millennial-scale climate change expressed in the mid latitudes, near the LIS and upwind of the North Atlantic?<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.

07/22/2024

07/22/2024

None

Grant

47.050

1

4900

4900

2402362

{'FirstName': 'Jeremy', 'LastName': 'Shakun', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeremy Shakun', 'EmailAddress': 'jeremy.shakun@bc.edu', 'NSF_ID': '000671119', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Boston College', 'CityName': 'CHESTNUT HILL', 'ZipCode': '024673800', 'PhoneNumber': '6175528000', 'StreetAddress': '140 COMMONWEALTH AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'MA04', 'ORG_UEI_NUM': 'MJ3JH8CRJBZ7', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF BOSTON COLLEGE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Trustees of Boston College', 'CityName': 'CHESTNUT HILL', 'StateCode': 'MA', 'ZipCode': '024673800', 'StreetAddress': '140 COMMONWEALTH AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'MA04'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~162339

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402362.xml'}

Collaborative Research: Developing a 500 kyr speleothem growth history near the southern Laurentide Ice Sheet margin in New York State

NSF

08/01/2024

07/31/2026

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Jonathan G Wynn', 'PO_EMAI': 'jwynn@nsf.gov', 'PO_PHON': '7032924725'}

During the ice ages of the past few million years, ice sheets repeatedly grew southward from the Arctic. The ice sheet in North America advanced as far south as New York City during the most recent ice age, but little is known about its size before then. This project will determine if the ice sheet also reached New York during each of the past five ice ages using cave formations (speleothems) in the area. The findings will show how consistently (or not) ice sheets respond to drivers of climate change and improve estimates of how high sea levels rose during warm periods between ice ages. Given that ongoing ice sheet melt is projected to accelerate in our warming world, the real-world data generated in this research will provide timely information on how ice sheets and climate are linked. The most compelling findings will be delivered to the public through tours at a popular show cave and shared with the caving community through National Speleological Society print and online media. The scientists will participate in the NSS’s “Request a Speleoguest” program linking K-12 educators with cave experts, as well as develop an educational module, including caving trips, for a New York City charter school that serves primarily low-income students.<br/>This project will apply a well-known but overlooked approach to constraining the Laurentide Ice Sheet’s (LIS) southern limit during glacial maxima of the past 500 kyr: developing a speleothem growth chronology within the ice sheet’s footprint. 150 uranium-thorium ages will be measured on a large collection of speleothems from 17 caves in east-central New York State, only 100-200 km inboard of its Last Glacial Maximum (LGM) margin. This chronology can provide a binary proxy of ice cover through time – speleothem growth typically occurs when ice-free conditions permit liquid water charged with soil CO2 to percolate into a well-ventilated cave, whereas growth usually halts when an area is glacier covered. Stable isotope profiles will also be measured along speleothems to develop a long climate reconstruction. The results will help address four longstanding problems in paleoclimate. (1) Did the LIS advance to near its LGM extent every glaciation? (2) How are interglacial sea level markers affected by the size and timing of prior ice loading? (3) Were abrupt glacial climate events related to rerouting of freshwater runoff by an oscillating LIS margin in eastern North America? (4) How were orbital and millennial-scale climate change expressed in the mid latitudes, near the LIS and upwind of the North Atlantic?<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.

07/22/2024

07/22/2024

None

Grant

47.050

1

4900

4900

2402363

{'FirstName': 'William', 'LastName': 'McGee', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William D McGee', 'EmailAddress': 'davidmcg@mit.edu', 'NSF_ID': '000507739', 'StartDate': '07/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~129726

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402363.xml'}

Rational GAGA and Applications to Field Invariants

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Adriana Salerno', 'PO_EMAI': 'asalerno@nsf.gov', 'PO_PHON': '7032922271'}

Geometric spaces arise in many contexts, and studying their behavior can lead to the solution of real world problems. The study of these spaces has used methods both from algebra and from calculus (also called analysis). Decades ago, a linkage between the algebraic and analytic approaches to geometry was established, which then led to important progress on geometric problems. The PIs will extend this linkage to situations in which information is given only on a piece of a geometric space, rather than on the entire space. This will make it possible to solve open problems concerning the computation of currently mysterious numerical data that relate to the behavior of geometric spaces. The approach will involve studying spaces locally in order to gain a greater insight into their overall behavior. The PIs will also engage in activities that have broader impacts. These include mentoring, widening the pipeline into mathematical research for people from groups traditionally underrepresented in mathematics, and communicating mathematics to a broader audience. In addition, graduate students supported by the award will receive training to contribute toward this research as well as to engage in further mathematical research in the future.<br/><br/>More precisely, the PIs will study an analog of Serre's GAGA theorem in the context of function fields of varieties, rather than for the varieties themselves. This will involve a structure sheaf that contains both holomorphic functions and rational functions. A key goal will then be to use this result to compute the conjectured period-index bound for rational function fields over the complex numbers in three or more variables. The PIs also aim to prove related results over more arithmetic ground fields, by bringing in ideas from the theory of formal schemes and building on their prior work in lower dimensions. In addition, the PIs will work to understand the structure of the absolute differential Galois group of real rational function fields. This work is motivated by results that they previously achieved in differential Galois theory over the complex numbers and in classical Galois theory over real function fields. The methods used will include local-global principles and patching, as well as the structure theory of linear algebraic groups, Galois cohomology, and other 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.

04/16/2024

04/16/2024

None

Grant

47.049

1

4900

4900

2402367

[{'FirstName': 'Julia', 'LastName': 'Hartmann', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Julia Hartmann', 'EmailAddress': 'hartmann@math.upenn.edu', 'NSF_ID': '000676357', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'David', 'LastName': 'Harbater', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'David Harbater', 'EmailAddress': 'harbater@math.upenn.edu', 'NSF_ID': '000122018', 'StartDate': '04/16/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

{'Name': 'University of Pennsylvania', 'CityName': 'PHILADELPHIA', 'StateCode': 'PA', 'ZipCode': '191046396', 'StreetAddress': '209 SOUTH 33RD STREET', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'PA03'}

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

2024~162076

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402367.xml'}

Postdoctoral Fellowship: MSPRF: Character Theory

NSF

08/15/2024

07/31/2028

{'Value': 'Fellowship Award'}

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

{'SignBlockName': 'Stefaan De Winter', 'PO_EMAI': 'sgdewint@nsf.gov', 'PO_PHON': '7032922599'}

This award is made as part of the FY 2024 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist.<br/><br/>The title of the project for this fellowship to Itamar Vigdorovich is “Character Theory”. The host institution for the fellowship is the University of California-San Diego and the sponsoring scientist is Adrian Ioana.<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

2402368

{'FirstName': 'Itamar', 'LastName': 'Vigdorovich', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Itamar D Vigdorovich', 'EmailAddress': None, 'NSF_ID': '000966190', 'StartDate': '06/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Vigdorovich, Itamar Daniel', 'CityName': 'San Diego', 'ZipCode': '921221351', 'PhoneNumber': None, 'StreetAddress': None, 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California San Diego (UCSD)', 'CityName': 'La Jolla', 'StateCode': 'CA', 'ZipCode': '920930112', 'StreetAddress': None, 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '060Y00', 'Text': 'Workforce (MSPRF) MathSciPDFel'}

2024~190000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402368.xml'}

I-Corps: Non-Invasive Software Tool for Risk Assessment of Intracranial Aneurysms (IA)

NSF

02/01/2024

01/31/2025

{'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/commercial potential of this I-Corps project is the development of a software tool for a non-invasive risk assessment of cerebral aneurysms. Currently, there is a growing trend in the medical industry towards less invasive assessment methods that streamline the tasks of medical professionals and augment their comprehension of cerebral aneurysms. This technology may save patients from unnecessary risky procedures and streamline diagnostic and treatment analysis workflow, enhancing pre-surgical planning and post-treatment monitoring. In addition, the technology is designed to provide critical information early in the healthcare process. Healthcare providers will benefit as the system aids in accurately maintaining claims, treatment records, and associated risks for each patient. This data, in turn, enables healthcare providers to engage in predictive planning for individual patients, contributing to better overall patient care and resource management in the healthcare industry.<br/><br/>This I-Corps project is based on the development of a non-invasive software tool designed to enhance risk analysis of intracranial aneurysms. The technology integrates advanced imaging techniques with computational dynamics and artificial intelligence/machine learning (AI/ML) analysis to provide a comprehensive assessment of intracranial aneurysm risks. By reconstructing blood vessels and simulating blood flow using Navier-Stokes equations, the tool improves imaging modalities. The AI/ML algorithms analyze this data, offering valuable insights for personalized treatment planning. The technology is designed to provide dynamic risk assessments tailored to each patient, ensuring more accurate and effective results. The AI/ML insights are grounded in patient-specific biomarkers related to aneurysm growth and progression, enabling a thorough analysis of individual cases.<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.

01/29/2024

01/29/2024

None

Grant

47.084

1

4900

4900

2402381

{'FirstName': 'Iskender', 'LastName': 'Sahin', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Iskender Sahin', 'EmailAddress': 'iskender.sahin@nyu.edu', 'NSF_ID': '000969710', 'StartDate': '01/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402381.xml'}

Collaborative Research: CSR: Medium: Offloading Heterogeneous Distributed Workloads with Diverse Computation Models

NSF

10/01/2024

09/30/2028

{'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': 'Erik Brunvand', 'PO_EMAI': 'ebrunvan@nsf.gov', 'PO_PHON': '7032928950'}

The ever-growing diversity of edge devices, from CPUs for basic tasks to graphics processing units (GPUs) for graphics and neural processing units (NPUs) for machine learning, presents a challenge for edge cloud computing. While advanced wireless communication seamlessly connects billions of edge devices to the edge cloud, traditional homogenous edge cloud platforms struggle to handle diverse workloads and computation models efficiently. This research proposes a pioneering approach using Field-Programmable Gate Arrays (FPGAs) within an edge overlay framework. FPGAs can be dynamically reconfigured to act as various processing units, efficiently handling these diverse computational needs. The main goal of this research is to develop novel techniques for offloading heterogeneous tasks, ensuring high overall throughput, uninterrupted service, and fault tolerance. To demonstrate the effectiveness of the proposed techniques, this research will focus on a drone network surveillance use case. The developed approach has the potential to significantly improve edge computing's energy efficiency, resiliency, and scalability.<br/><br/>This research will make a significant contribution by making powerful edge cloud computing more accessible. To achieve this, the researchers will develop new course modules at UMass and WPI focused on heterogeneous edge computing, institute a research workshop for sharing research ideas and showcasing work, and leverage targeted programs to recruit underrepresented students to research programs. These initiatives will empower undergraduate and graduate students to leverage edge cloud FPGA resources for various hardware and software experiments. The annual research workshop, organized and executed by graduate students, will be open to the wider community, further expanding the project's reach and impact. All findings, innovations, and developed software from this research will be openly shared to ensure they are freely accessible and usable by the research community, industry partners, and the public, promoting collaboration, further development, and practical applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/26/2024

08/26/2024

None

Grant

47.070

1

4900

4900

2402382

[{'FirstName': 'Russell', 'LastName': 'Tessier', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Russell Tessier', 'EmailAddress': 'tessier@ecs.umass.edu', 'NSF_ID': '000109921', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Sandip', 'LastName': 'Kundu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sandip Kundu', 'EmailAddress': 'kundu@ecs.umass.edu', 'NSF_ID': '000388833', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

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

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

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

2024~383771

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402382.xml'}

Collaborative Research: CSR: Medium: Offloading Heterogeneous Distributed Workloads with Diverse Computation Models

NSF

10/01/2024

09/30/2028

{'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': 'Erik Brunvand', 'PO_EMAI': 'ebrunvan@nsf.gov', 'PO_PHON': '7032928950'}

The ever-growing diversity of edge devices, from CPUs for basic tasks to graphics processing units (GPUs) for graphics and neural processing units (NPUs) for machine learning, presents a challenge for edge cloud computing. While advanced wireless communication seamlessly connects billions of edge devices to the edge cloud, traditional homogenous edge cloud platforms struggle to handle diverse workloads and computation models efficiently. This research proposes a pioneering approach using Field-Programmable Gate Arrays (FPGAs) within an edge overlay framework. FPGAs can be dynamically reconfigured to act as various processing units, efficiently handling these diverse computational needs. The main goal of this research is to develop novel techniques for offloading heterogeneous tasks, ensuring high overall throughput, uninterrupted service, and fault tolerance. To demonstrate the effectiveness of the proposed techniques, this research will focus on a drone network surveillance use case. The developed approach has the potential to significantly improve edge computing's energy efficiency, resiliency, and scalability.<br/><br/>This research will make a significant contribution by making powerful edge cloud computing more accessible. To achieve this, the researchers will develop new course modules at UMass and WPI focused on heterogeneous edge computing, institute a research workshop for sharing research ideas and showcasing work, and leverage targeted programs to recruit underrepresented students to research programs. These initiatives will empower undergraduate and graduate students to leverage edge cloud FPGA resources for various hardware and software experiments. The annual research workshop, organized and executed by graduate students, will be open to the wider community, further expanding the project's reach and impact. All findings, innovations, and developed software from this research will be openly shared to ensure they are freely accessible and usable by the research community, industry partners, and the public, promoting collaboration, further development, and practical applications.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

08/26/2024

08/26/2024

None

Grant

47.070

1

4900

4900

2402383

{'FirstName': 'Tian', 'LastName': 'Guo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tian Guo', 'EmailAddress': 'tian@wpi.edu', 'NSF_ID': '000753495', 'StartDate': '08/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Worcester Polytechnic Institute', 'CityName': 'WORCESTER', 'ZipCode': '016092247', 'PhoneNumber': '5088315000', 'StreetAddress': '100 INSTITUTE RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'MA02', 'ORG_UEI_NUM': 'HJNQME41NBU4', 'ORG_LGL_BUS_NAME': 'WORCESTER POLYTECHNIC INSTITUTE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Worcester Polytechnic Institute', 'CityName': 'WORCESTER', 'StateCode': 'MA', 'ZipCode': '016092247', 'StreetAddress': '100 INSTITUTE RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'MA02'}

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

2024~234631

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402383.xml'}

Collaborative Research: The North American Temperature Atlas--A Climate Field Reconstruction for Investigating Effects of Temperature on Past Droughts

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

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

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

The incidence of extreme heat events has increased in frequency and intensity in the last century as global temperatures have risen, driven by anthropogenic greenhouse gas forcing. When extreme heat occurs at the same time as drought, the impacts are exacerbated. These "hot drought" events have complex consequences for communities across North America, including altered water resource availability and fire regimes, as well as the magnitude of the uptake of carbon dioxide by forests. This project will compile new and previously collected temperature reconstruction data from tree cores from across North America into a "North American Temperature Atlas," which will allow for the analysis of relationship of heat and drought at a range of time and spatial scales.<br/><br/>The goals of this project are to make new blue intensity measurements on previously collected tree cores from North America, compile existing blue intensity and maximum latewood density tree ring chronologies from North America, and combine the new and existing datasets together to create the “North American Temperature Atlas” (NATA), a gridded reconstruction of warm season surface air temperature. The NATA will be compared to a gridded North American drought atlas and a gridded North American seasonal precipitation atlas to determine the contribution of temperature to past droughts, evaluate the temperature-drought relationship, and place the modern occurrence of drought in the context of the last several centuries. The Broader Impacts are to create a web interface for public access to the NATA, support for graduate students at University of Tennessee, Knoxville, and University of Idaho, development of outreach to water and natural resource managers, creation of K-12 STEM activities for middle school students, tours of tree ring lab for K-12 students, mentoring high school and undergraduate students underrepresented in STEM on projects related to this work.<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.

08/22/2024

08/22/2024

None

Grant

47.050

1

4900

4900

2402385

{'FirstName': 'Karen', 'LastName': 'King', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Karen King', 'EmailAddress': 'kking@utk.edu', 'NSF_ID': '000902927', 'StartDate': '08/22/2024', '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': '225Y00', 'Text': 'P4CLIMATE'}

2024~230732

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402385.xml'}

Collaborative Research: The North American Temperature Atlas--A Climate Field Reconstruction for Investigating Effects of Temperature on Past Droughts

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

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

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

The incidence of extreme heat events has increased in frequency and intensity in the last century as global temperatures have risen, driven by anthropogenic greenhouse gas forcing. When extreme heat occurs at the same time as drought, the impacts are exacerbated. These "hot drought" events have complex consequences for communities across North America, including altered water resource availability and fire regimes, as well as the magnitude of the uptake of carbon dioxide by forests. This project will compile new and previously collected temperature reconstruction data from tree cores from across North America into a "North American Temperature Atlas," which will allow for the analysis of relationship of heat and drought at a range of time and spatial scales.<br/><br/>The goals of this project are to make new blue intensity measurements on previously collected tree cores from North America, compile existing blue intensity and maximum latewood density tree ring chronologies from North America, and combine the new and existing datasets together to create the “North American Temperature Atlas” (NATA), a gridded reconstruction of warm season surface air temperature. The NATA will be compared to a gridded North American drought atlas and a gridded North American seasonal precipitation atlas to determine the contribution of temperature to past droughts, evaluate the temperature-drought relationship, and place the modern occurrence of drought in the context of the last several centuries. The Broader Impacts are to create a web interface for public access to the NATA, support for graduate students at University of Tennessee, Knoxville, and University of Idaho, development of outreach to water and natural resource managers, creation of K-12 STEM activities for middle school students, tours of tree ring lab for K-12 students, mentoring high school and undergraduate students underrepresented in STEM on projects related to this work.<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.

08/22/2024

08/22/2024

None

Grant

47.050

1

4900

4900

2402386

{'FirstName': 'Kevin', 'LastName': 'Anchukaitis', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin J Anchukaitis', 'EmailAddress': 'kanchukaitis@email.arizona.edu', 'NSF_ID': '000499952', 'StartDate': '08/22/2024', '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': '1215 E Lowell St', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arizona', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AZ07'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~34522

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402386.xml'}

Collaborative Research: The North American Temperature Atlas--A Climate Field Reconstruction for Investigating Effects of Temperature on Past Droughts

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

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

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

The incidence of extreme heat events has increased in frequency and intensity in the last century as global temperatures have risen, driven by anthropogenic greenhouse gas forcing. When extreme heat occurs at the same time as drought, the impacts are exacerbated. These "hot drought" events have complex consequences for communities across North America, including altered water resource availability and fire regimes, as well as the magnitude of the uptake of carbon dioxide by forests. This project will compile new and previously collected temperature reconstruction data from tree cores from across North America into a "North American Temperature Atlas," which will allow for the analysis of relationship of heat and drought at a range of time and spatial scales.<br/><br/>The goals of this project are to make new blue intensity measurements on previously collected tree cores from North America, compile existing blue intensity and maximum latewood density tree ring chronologies from North America, and combine the new and existing datasets together to create the “North American Temperature Atlas” (NATA), a gridded reconstruction of warm season surface air temperature. The NATA will be compared to a gridded North American drought atlas and a gridded North American seasonal precipitation atlas to determine the contribution of temperature to past droughts, evaluate the temperature-drought relationship, and place the modern occurrence of drought in the context of the last several centuries. The Broader Impacts are to create a web interface for public access to the NATA, support for graduate students at University of Tennessee, Knoxville, and University of Idaho, development of outreach to water and natural resource managers, creation of K-12 STEM activities for middle school students, tours of tree ring lab for K-12 students, mentoring high school and undergraduate students underrepresented in STEM on projects related to this work.<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.

08/22/2024

08/22/2024

None

Grant

47.050

1

4900

4900

2402387

{'FirstName': 'Justin', 'LastName': 'Maxwell', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Justin Maxwell', 'EmailAddress': 'maxweljt@indiana.edu', 'NSF_ID': '000646098', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Indiana University', 'CityName': 'BLOOMINGTON', 'ZipCode': '474057000', 'PhoneNumber': '3172783473', 'StreetAddress': '107 S INDIANA AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Indiana', 'StateCode': 'IN', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'IN09', 'ORG_UEI_NUM': 'YH86RTW2YVJ4', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF INDIANA UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Indiana University', 'CityName': 'BLOOMINGTON', 'StateCode': 'IN', 'ZipCode': '474057000', 'StreetAddress': '702 N. Walnut Grove Ave', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'IN09'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~74571

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402387.xml'}

Collaborative Research: The North American Temperature Atlas--A Climate Field Reconstruction for Investigating Effects of Temperature on Past Droughts

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

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

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

The incidence of extreme heat events has increased in frequency and intensity in the last century as global temperatures have risen, driven by anthropogenic greenhouse gas forcing. When extreme heat occurs at the same time as drought, the impacts are exacerbated. These "hot drought" events have complex consequences for communities across North America, including altered water resource availability and fire regimes, as well as the magnitude of the uptake of carbon dioxide by forests. This project will compile new and previously collected temperature reconstruction data from tree cores from across North America into a "North American Temperature Atlas," which will allow for the analysis of relationship of heat and drought at a range of time and spatial scales.<br/><br/>The goals of this project are to make new blue intensity measurements on previously collected tree cores from North America, compile existing blue intensity and maximum latewood density tree ring chronologies from North America, and combine the new and existing datasets together to create the “North American Temperature Atlas” (NATA), a gridded reconstruction of warm season surface air temperature. The NATA will be compared to a gridded North American drought atlas and a gridded North American seasonal precipitation atlas to determine the contribution of temperature to past droughts, evaluate the temperature-drought relationship, and place the modern occurrence of drought in the context of the last several centuries. The Broader Impacts are to create a web interface for public access to the NATA, support for graduate students at University of Tennessee, Knoxville, and University of Idaho, development of outreach to water and natural resource managers, creation of K-12 STEM activities for middle school students, tours of tree ring lab for K-12 students, mentoring high school and undergraduate students underrepresented in STEM on projects related to this work.<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.

08/22/2024

08/22/2024

None

Grant

47.050

1

4900

4900

2402388

{'FirstName': 'Grant', 'LastName': 'Harley', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Grant Harley', 'EmailAddress': 'gharley@uidaho.edu', 'NSF_ID': '000543798', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Regents of the University of Idaho', 'CityName': 'MOSCOW', 'ZipCode': '838449803', 'PhoneNumber': '2088856651', 'StreetAddress': '875 PERIMETER DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Idaho', 'StateCode': 'ID', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'ID01', 'ORG_UEI_NUM': 'QWYKRJH5NNJ3', 'ORG_LGL_BUS_NAME': 'REGENTS OF THE UNIVERSITY OF IDAHO', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Regents of the University of Idaho', 'CityName': 'MOSCOW', 'StateCode': 'ID', 'ZipCode': '838449803', 'StreetAddress': '875 PERIMETER DR MS 3020', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Idaho', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'ID01'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~147279

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402388.xml'}

Collaborative Research: The North American Temperature Atlas--A Climate Field Reconstruction for Investigating Effects of Temperature on Past Droughts

NSF

08/15/2024

07/31/2027

{'Value': 'Standard Grant'}

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

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

The incidence of extreme heat events has increased in frequency and intensity in the last century as global temperatures have risen, driven by anthropogenic greenhouse gas forcing. When extreme heat occurs at the same time as drought, the impacts are exacerbated. These "hot drought" events have complex consequences for communities across North America, including altered water resource availability and fire regimes, as well as the magnitude of the uptake of carbon dioxide by forests. This project will compile new and previously collected temperature reconstruction data from tree cores from across North America into a "North American Temperature Atlas," which will allow for the analysis of relationship of heat and drought at a range of time and spatial scales.<br/><br/>The goals of this project are to make new blue intensity measurements on previously collected tree cores from North America, compile existing blue intensity and maximum latewood density tree ring chronologies from North America, and combine the new and existing datasets together to create the “North American Temperature Atlas” (NATA), a gridded reconstruction of warm season surface air temperature. The NATA will be compared to a gridded North American drought atlas and a gridded North American seasonal precipitation atlas to determine the contribution of temperature to past droughts, evaluate the temperature-drought relationship, and place the modern occurrence of drought in the context of the last several centuries. The Broader Impacts are to create a web interface for public access to the NATA, support for graduate students at University of Tennessee, Knoxville, and University of Idaho, development of outreach to water and natural resource managers, creation of K-12 STEM activities for middle school students, tours of tree ring lab for K-12 students, mentoring high school and undergraduate students underrepresented in STEM on projects related to this work.<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.

08/22/2024

08/22/2024

None

Grant

47.050

1

4900

4900

2402389

{'FirstName': 'Edward', 'LastName': 'Cook', 'PI_MID_INIT': 'R', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Edward R Cook', 'EmailAddress': 'drdendro@ldeo.columbia.edu', 'NSF_ID': '000200158', 'StartDate': '08/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Columbia University', 'CityName': 'NEW YORK', 'ZipCode': '100277922', 'PhoneNumber': '2128546851', 'StreetAddress': '615 W 131ST ST', 'StreetAddress2': 'MC 8741', 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'F4N1QNPB95M4', 'ORG_LGL_BUS_NAME': 'THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Lamont-Doherty Earth Observatory of Columbia University', 'CityName': 'Palisades', 'StateCode': 'NY', 'ZipCode': '109641000', 'StreetAddress': '61 Route 9W', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '17', 'CONGRESS_DISTRICT_PERF': 'NY17'}

{'Code': '225Y00', 'Text': 'P4CLIMATE'}

2024~195606

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402389.xml'}

RAISE: CET: Changing our value system for clean-energy technologies

NSF

07/15/2024

06/30/2027

{'Value': 'Standard Grant'}

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

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

This Research Advanced by Interdisciplinary Science and Engineering (RAISE) award is made in response to Dear Colleague Letter 23-109, as part of the NSF-wide Clean Energy Technology initiative. Clean energy technologies provide opportunities to intentionally consider social justice impacts in ways that have not been addressed with legacy energy systems. While clean energy technologies target reducing greenhouse gas emissions that drive climate change and should theoretically benefit marginalized and underserved communities, research indicates that clean energy technologies can follow the same path of social injustice unless intentional change is made in the way technologies are developed and deployed. We hypothesize that the application of social justice theory to energy systems–energy justice–can inform the development of clean energy technologies, increasing the distribution of benefits and limiting the negative impacts of clean energy technologies. The proposed research moves beyond applying energy justice as an evaluative lens on energy systems and instead uses the concept as a design lens to shape engineering research and development questions. The approach uniquely uses social science theory to inform the creation of engineering knowledge for just and sustainable futures, and the use of multiple-capitals accounting makes visible and values energy justice in the context of specific business models. This approach can generate qualitative and quantitative insights such as how energy justice increases the productive capacity and dynamic efficiency of clean energy businesses and the socioecological systems in which they are embedded. This work will enable energy justice to be applied more expansively, reliably, and systematically by integrating energy justice effects into the design of clean energy technologies, business models, and policies and processes that guide renewable energy research and development.<br/><br/>The approach of the proposed research is to (1) uniquely develop and apply the framework of energy justice to shape the research, development and design of a clean energy system, specifically focusing on a case study of hydrothermal liquefaction of waste streams; and (2) articulate the social, economic, and environmental value generated by application of the energy justice design framework. The project is highly interdisciplinary and synergistically leverages theoretical frameworks and approaches of energy justice, chemical processing, and community capitals. The use of a targeted chemical process—hydrothermal liquefaction to create usable chemicals and feedstocks from waste streams—allows specific demonstration of the approach and the associated results. Both the process and the outcomes are important deliverables from this project.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

07/10/2024

07/10/2024

None

Grant

47.041

1

4900

4900

2402390

[{'FirstName': 'Margaret', 'LastName': 'Wooldridge', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Margaret S Wooldridge', 'EmailAddress': 'mswool@umich.edu', 'NSF_ID': '000211867', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Darshan', 'LastName': 'Karwat', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Darshan M Karwat', 'EmailAddress': 'Darshan.Karwat@asu.edu', 'NSF_ID': '000798869', 'StartDate': '07/10/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Elizabeth', 'LastName': 'Castillo', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth Castillo', 'EmailAddress': 'elizabeth.castillo@csusb.edu', 'NSF_ID': '000968070', 'StartDate': '07/10/2024', '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': '268Y00', 'Text': 'CET Strategic Investments'}

2024~998995

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2402390.xml'}

NSF-SNSF: Clarifying the cognitive role of neurally active representations in working memory

NSF

09/01/2024

08/31/2028

{'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': 'Dwight Kravitz', 'PO_EMAI': 'dkravitz@nsf.gov', 'PO_PHON': '7032924502'}

The goal of the project is to advance the understanding of the neural and behavioral underpinnings of working memory, an “online” memory system that holds information in a readily accessible state to guide ongoing behavior. Individuals with better working memory abilities excel in tests of fluid intelligence, scholastic achievement, and broad measures of attentional efficiency. Many models of complex cognition acknowledge the central importance of working memory for the ability to exert voluntary control over which aspects of a busy environment will occupy the mind. Thus, better neural and behavioral models of working memory function are important for understanding a wide range of intelligent behaviors. This collaborative effort is made possible through the National Science Foundation and Swiss National Science Foundation Lead Agency Opportunity.<br/><br/> One important advance has been the identification of neural signals in humans that track storage in working memory. For example, by applying machine learning and other analytic approaches to electroencephalogram (EEG) recordings of brain activity, both the number and type of visual objects stored in working memory can be tracked with relatively high temporal resolution. Approaches like this have been powerful tools for building neural models of working memory, but basic questions remain regarding the specific computational role of these neurally active representations. For example, recent work has shown that even when neural signals associated with storage in working memory are temporarily silenced, there is evidence for preserved storage in working memory, suggesting that persistent neurally active representations may not be needed for working memory storage. The project aims to test an alternative hypothesis that neurally active storage may serve as a gateway to passive forms of memory that can endure without requiring persistent neurally active representations. In addition, the project aims to examine whether there are specific operations that require neurally active representations, such as the active manipulation of the stored information. Thus, the goal is to improve the understanding of how neural activity related to working memory supports the ability to hold relevant information in the focus of attention. <br/><br/>This collaborative U.S.-Swiss project is supported by the U.S. National Science Foundation (NSF) and the Swiss National Science Foundation (SNSF), where NSF funds the U.S. investigator and SNSF funds the partners in Switzerland.<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.

08/14/2024

08/14/2024

None

Grant

47.075, 47.079

1

4900

4900