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SBIR Phase I: Development of devices to manipulate the structure of quantum field energy for use in electric power generation

NSF

05/01/2024

10/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact/commercial potential of this Phase I Small Business Innovation Research (SBIR) project is a paradigm shift in how electrical power is generated leading to compact, clean, and lightweight power sources able to provide consistent power no matter the environmental condition. The proposed product to be developed as part of this work offers the potential for broader societal and economic benefit. The proposed activity seeks to conduct research and development (R&D) to demonstrate technical feasibility of continuous power generation from the quantum field for terrestrial and space applications. The research activity will advance knowledge and understanding of quantum field theory and the nature of the quantum vacuum for the purpose of power generation and commercialization. This is expected to enable a continuous baseload renewable type power source in environments where other renewables are often not readily present. In so doing, the research will also enable new pathways for novel forms of radiation generation and detection, thereby enhancing space sensing and providing new communication capabilities making use of novel forms of radiation. This product may also benefit from high throughput scalable in-space manufacturing advances going forward, and serve as a reliable, light weight and abundant power source for the acceleration and growth of the large scale in-space economy. The technology is also expected to bring an array of advantages to national security and defense.<br/><br/><br/>This SBIR Phase I project proposes to validate numerical analysis design tools that will enable optimization of custom power cells. The research objective is to commercialize the company’s power-generating nanotechnology. These custom Casimir cavities interact with fluctuations of the quantum field to generate continuous power. The innovation in the approach is the customization of the original Casimir cavity concept to incorporate an array of electrically connected and conducting pillars arranged along the midplane of the cavity. With this enhancement, the custom Casimir cavity structure establishes an electrostatic potential between the pillars along the midplane and the cavity walls. The goals and scope of the research are: prediction of tunneling current magnitude for given metal-insulator-metal combination; and optimal selection of combinations of materials and insulator thicknesses. The methods to accomplish validation of software analysis tools are as follows: fabricate numerous metal-insulator-metal samples; conduct laboratory tests to quantify tunneling current performance; update analysis tools with measured performance data. The anticipated technical result is validated software analysis tools to predict the tunneling current magnitude for a given metal-insulator-metal combination 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.

04/22/2024

04/22/2024

None

Grant

47.084

1

4900

4900

2423233

{'FirstName': 'Harold', 'LastName': 'White', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Harold White', 'EmailAddress': 'sonny@limitlessspace.org', 'NSF_ID': '000995735', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'CASIMIR, INC', 'CityName': 'HOUSTON', 'ZipCode': '770582015', 'PhoneNumber': '4099279799', 'StreetAddress': '16441 SPACE CENTER BLVD STE D200', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_ORG': 'TX36', 'ORG_UEI_NUM': 'SW47CCGFSQA3', 'ORG_LGL_BUS_NAME': 'CASIMIR, INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'CASIMIR, INC', 'CityName': 'HOUSTON', 'StateCode': 'TX', 'ZipCode': '770582015', 'StreetAddress': '16441 SPACE CENTER BLVD STE D200', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '36', 'CONGRESS_DISTRICT_PERF': 'TX36'}

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

2024~274920

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423233.xml'}

I-Corps: Translation Potential of an Autonomous Wireless Charging System for Vertical Takeoff and Landing of Unmanned Aerial Vehicles

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a technology designed to enable fully autonomous drone charging. The autonomous system is created by developing a charging platform and adapting drone electronics for wireless charging. Autonomous wireless charging presents significant commercial opportunities across various sectors by enabling more efficient and independent drone operation. This technology can reduce labor costs and oversight in logistics and delivery services, agriculture, and emergency response services. The agricultural and delivery sectors are identified as first adopters due to their high maturity and technology readiness. Moreover, the ongoing deliberations about establishing regulatory frameworks for drone use are expected to open new opportunities for charger deployments. The autonomous charging technology and upcoming drone corridors can extend the drone reach and allow long-range and intercity drone flights. The high technology readiness level of the developed system makes it immediately deployable as soon as the commercial and legal framework is established. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translational potential of the technology. The solution is based on the development of a high-power wireless drone charger with an integrated charging platform localization and alignment system. The alignment mechanism identifies the drone's position in the platform and promptly begins the wireless charging process within 30 seconds. The designed power converters are based on highly efficient wide bandgap semiconductor devices, which lead to improved gravimetric power density and flight distance with a single charge. The unique approach utilizes wireless charging pads for drone detection, coil alignment, and power transfer, offering a robust solution and eliminating the need for complex alignment circuits. The 700-W fully autonomous wireless charging system is the highest-power-level charger designed with an integrated alignment mechanism that does not require an additional sensing system. The system can also be modified for standalone operation using renewable energy sources such as solar energy for remote deployment. This deployment can be especially helpful in remote areas where electrification still needs to be reached or the power grid may not be present or reliable.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2423241

{'FirstName': 'Zeljko', 'LastName': 'Pantic', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zeljko Pantic', 'EmailAddress': 'zpantic@ncsu.edu', 'NSF_ID': '000684141', 'StartDate': '05/13/2024', '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': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423241.xml'}

Conference: NSF Spectrum Week 2024

NSF

07/01/2024

12/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'John Chapin', 'PO_EMAI': 'jchapin@nsf.gov', 'PO_PHON': '7032928222'}

This award supports organization and hosting of National Science Foundation (NSF) Spectrum Week 2024, a conference held in Arlington, Virginia on May 13-17, 2024. As in 2023, this week brings together three major programs funded through the NSF Spectrum Innovation Initiative program (SWIFT, NRDZ, and SpectrumX) to hold meetings and social events in a collaborative environment. New elements for 2024 include: co-location and coordination with IEEE DySPAN 2024 to foster publication and dissemination of peer-reviewed research results; the National Spectrum Managers Association (NSMA) industry trade group Annual Conference; and a Federal government outreach workshop for public engagement on the National Spectrum Research and Development plan.<br/><br/>The week of events is unique in the way it convenes a large cross-section of the spectrum research community as well as stakeholders in industry and government, and in so doing, integrate students into the forward-thinking conversations, networking, and career development 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.

06/24/2024

06/24/2024

None

Grant

47.049

1

4900

4900

2423252

{'FirstName': 'J Nicholas', 'LastName': 'Laneman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'J Nicholas Laneman', 'EmailAddress': 'jnl@nd.edu', 'NSF_ID': '000394168', 'StartDate': '06/24/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Notre Dame', 'CityName': 'NOTRE DAME', 'ZipCode': '465566031', 'PhoneNumber': '5746317432', 'StreetAddress': '836 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': '465566031', 'StreetAddress': '836 GRACE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'IN02'}

{'Code': '151Y00', 'Text': 'SII-Spectrum Innovation Initia'}

2024~142783

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423252.xml'}

Health effects of decarbonization (HEALED): Understanding key determinants for health co-benefits and co-harms

NSF

10/01/2023

11/30/2024

{'Value': 'Continuing 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'}

Tangible human health co-benefits can motivate stronger support for climate policy. For example, decarbonizing the energy system can produce sizable health co-benefits by reducing co-emitted air pollutants. However, assessing near-term decarbonization strategies with health considerations faces two key analytical challenges: (i) unintended health co-harms from some carbon mitigation strategies; for instance, large-scale bioenergy production can drive up food prices, which leads to nutrition-related health co-harms, and (ii) deep uncertainties about the future, such as socioeconomic patterns, technology costs, and market factors. The objectives of this project are: (i) to improve the quantitative understanding of key factors and processes that determine the magnitude and distribution of health outcomes from decarbonization, and (ii) to identify features of decarbonization strategies that are most likely to yield robust net health benefits given deep future uncertainties.<br/><br/>The investigators hypothesize that while health co-benefits and co-harms are both affected by local technology choices (e.g., electricity generation technologies and vehicle types) and socioeconomic factors (e.g., income growth and population aging), the health co-harms are further determined by complex interactions across regions and sectors, such as inter-regional trade of electricity, biofuel, and food. With a focus on the United States, the investigators will test the hypothesis by: (i) developing an integrated energy-food-health modeling framework, by improving the representation of health drivers in a state-level integrated assessment model (GCAM-USA) and connecting it with a fine- resolution health impact assessment module, (ii) constructing a large-scale ensemble of decarbonization scenarios to represent a wide range of future uncertainties in socioeconomic patterns, energy technology costs, and food/energy market setups, and (iii) identifying the key factors and processes that determine health outcomes at the county, state, and national levels. By combining knowledge from energy system modeling, health impact assessment, and decision analysis, this convergent research targets improving understanding of the non-linear interactions between low-carbon energy strategies and human health, as well as the role of the market and natural systems on which these interactions depend. Thus, this project seeks to advance quantitative understanding of the complex systems governing interconnected societal challenges on energy, health, and climate. Through a convergence of various disciplines, it seeks to provide new insights on key interacting dynamics that determine health outcomes from decarbonization. Further, by leveraging modern computational capabilities to analyze a large scenario ensemble, a data-driven approach is intended to enable quantification of the relative importance of various socioeconomic, technological, and market uncertainties in determining the health co-benefits or co-harms. The project will produce open-source model code and teaching materials for research and educational purposes. It will also train undergraduate and doctoral students in a highly interdisciplinary environment. Findings are intended to guide practitioners to improve their decisions to better navigate the climate-health nexus.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/04/2024

04/04/2024

None

Grant

47.041

1

4900

4900

2423254

{'FirstName': 'Wei', 'LastName': 'Peng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Wei Peng', 'EmailAddress': 'weipeng@princeton.edu', 'NSF_ID': '000842212', 'StartDate': '04/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}

['2021~8022', '2022~109588', '2023~122303']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423254.xml'}

Conference: 10th International Conference on Spectroscopic Ellipsometry

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Yaroslav Koshka', 'PO_EMAI': 'ykoshka@nsf.gov', 'PO_PHON': '7032924986'}

This award supports the participation of students and early career professionals from underrepresented groups in the 10th International Conference on Spectroscopic Ellipsometry (ICSE-10), with the aim to broaden participation, and to develop the future workforce. ICSE-10 will take place in Boulder, Colorado from June 8-15, 2025. The conference will benefit both the advancement of science and national prosperity. ICSE regularly takes place every three years, and ICSE-10 is the first meeting in the U.S.A. in 15 years. The conference attracts more than 300 experts and non-experts from all over the world to share knowledge and learn about the latest advances and applications of optical techniques which utilize polarized light. These techniques play a key role in electronic device technology, and in transforming the manufacturing landscape driven by the latest advancement in machine learning and artificial intelligence. Both are areas at the forefront of innovation with an impact on the economic stability of the US and therefore they are important to the whole society. Other fields which will be addressed at the conference include developments of optical instrumentation, and general aspects of chemical, physical, biological material science. ICSE-10 is committed to an inclusive, non-discriminating and collaborative environment for learning and networking. The conference includes sessions on workforce development and invites active involvement from graduate students and early career professionals. These activities include the selection of speakers for a student-run session and the selection of graduate student award winners. ICSE-10 provides an international venue which supports the training and education of an engineering workforce. <br/><br/>ICSE is a conference series which was founded in 1993 and is held every three years to share new ideas related to material characterization, real-time process analysis, and instrumentation development utilizing the polarization properties of electromagnetic waves in the spectral regions from Terahertz to soft-X-ray wavelengths. Typically, ICSE brings together an international cohort of more than 300 participants including experienced scientists and leaders of the community, as well as many graduate students, Postdocs, and other early career professionals. The technical program covers all aspects in the fields of ellipsometry and polarimetry, and their applications that use polarization properties of light. The topics range broadly from artificial intelligence, machine learning, biological, chemical, physical, and material sciences to life sciences as well as applications in manufacturing and metrology. ICSE-10 is committed to the development of a collaborative, inclusive, and internationally conscious workforce, and is seeking opportunities to increase participation of a diverse population especially from undergraduate and graduate students, Postdocs, and other early career professionals. The conference encourages students to be actively involved in the program selection. They are invited to create their own best-abstract based session, chaired by students and/or early career professionals. Life-time achievement awards will bring remembrance to early pioneers in the field and highlight the importance of historical developments. ICSE-10 dedicates a special session to aspects of workforce development for students and early career professionals. Experts from leading semiconductor and metrology companies educate conference attendees about workforce related topics as the industry moves into “extreme ultraviolet” device manufacturing utilizing new venues provided by artificial intelligence and machine learning.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/03/2024

04/03/2024

None

Grant

47.041, 47.049

1

4900

4900

2423277

[{'FirstName': 'Eva', 'LastName': 'Schubert', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eva B Schubert', 'EmailAddress': 'evaschub@engr.unl.edu', 'NSF_ID': '000403401', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Mathias', 'LastName': 'Schubert', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mathias Schubert', 'EmailAddress': 'Schubert@engr.unl.edu', 'NSF_ID': '000404858', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Nebraska-Lincoln', 'CityName': 'LINCOLN', 'ZipCode': '685032427', 'PhoneNumber': '4024723171', 'StreetAddress': '2200 VINE ST # 830861', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Nebraska', 'StateCode': 'NE', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NE01', 'ORG_UEI_NUM': 'HTQ6K6NJFHA6', 'ORG_LGL_BUS_NAME': 'BOARD OF REGENTS OF THE UNIVERSITY OF NEBRASKA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Nebraska-Lincoln', 'CityName': 'LINCOLN', 'StateCode': 'NE', 'ZipCode': '685032427', 'StreetAddress': '2200 VINE ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nebraska', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NE01'}

[{'Code': '088Y00', 'Text': 'AM-Advanced Manufacturing'}, {'Code': '177500', 'Text': 'ELECTRONIC/PHOTONIC MATERIALS'}]

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423277.xml'}

I-Corps: Transformation Potential of Graph-Based Multimodal Data Fusion for Remote Sensing

NSF

06/01/2024

11/30/2024

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is based on the development of Graph Signal Processing (GSP) techniques that enhance the quality of remotely sensed data. By integrating data from diverse sources such as satellite images, radars, and in-situ sensors, this innovation benefits environmental sectors such as agricultural technologies. Through the analytical power of graphs, this project enhances the resolution of satellite imagery and supports complex data analysis, combining sensor measurements with land features. Such capabilities allow agricultural industry users to make well-informed decisions regarding irrigation practices and resource management, thus promoting the efficient use of water and fertilizers. This efficiency, in turn, leads to healthier crop production and more cost-efficient agricultural operations. By optimizing the resolution of satellite images to extract high-resolution data, this approach promises to not only advance eco-friendly agriculture but also make a meaningful contribution to the commercial vitality of the environmental sector.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of state-of-the-art data fusion methodologies that enhance Earth observation satellite imaging through the integration of Machine Learning (ML) with Graph Signal Processing (GSP) techniques. GSP fusion methods substantially improve spatial and temporal resolution beyond what current methods can offer. Building on over ten years of research, this innovative approach focuses on synthesizing information from diverse satellite platforms and a variety of terrain data. The advanced algorithms developed through this project allow for a robust analysis of diverse datasets, overcoming the typical challenges faced by conventional satellite-based methods, such as limited resolution and intermittent data gaps. The integration of in-situ sensor networks with satellite data, empowered by these GSP techniques, presents a significant advance in the technical capabilities of environmental monitoring and analysis.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.084

1

4900

4900

2423290

{'FirstName': 'Antonio', 'LastName': 'Ortega', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Antonio Ortega', 'EmailAddress': 'ortega@sipi.usc.edu', 'NSF_ID': '000154600', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Southern California', 'CityName': 'LOS ANGELES', 'StateCode': 'CA', 'ZipCode': '900892564', 'StreetAddress': '3740 McClintock Avenue', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '37', 'CONGRESS_DISTRICT_PERF': 'CA37'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423290.xml'}

SBIR Phase I: Over One Million Transactions per Second - A Parallel Smart Contract Platform from Radius

NSF

06/15/2024

02/28/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact/commercial potential of this Phase I Small Business Innovation Research (SBIR) project is to develop a platform which can process smart contract transactions at extreme scale for very low cost. Due to the antiquated technology of current payments systems infrastructure, many financial transactions are slower and more expensive than necessary. With modern computing power and cryptography, smart contract-based platforms can automatically execute transactions of various levels of complexity atomically and with real-time settlement. Improved transaction efficiency and instant settlement have the potential to revolutionize our payment systems, particularly in the areas of micropayments and cross-border payments. A high-volume and very low fee platform can support micropayments priced out of the market by the fee schedules associated with current payment methods. The feasibility of micropayments has the potential to substantially change the business model of the internet. For example, users could pay a minimal amount to view a website ad-free instead of using ad-blockers, and content creators could charge small amounts for users to view individual articles or web posts. Smart contracts can also be used to more efficiently process a wide range of transactions.<br/><br/>This SBIR Phase I project proposes to achieve throughput over 1 million transactions per second through parallel execution and horizontal scalability. While public blockchain systems have led to significant technical advancement and inspire aspects of our design, they face scalability challenges due to routing all transactions through the bottleneck of a single unparallelizable consensus mechanism. This project’s key innovation and line of research is the ability to execute smart contract transactions in parallel without needing to serialize a global order for all transactions on the platform. Crucially, this design enables horizontal scalability. Platform data is stored as a key-value database stored across multiple geographically replicated shards. When users initiate transactions, they are handled and processed by one of numerous transaction processors operating in parallel. Notably, the platform is compatible a range of smart contracts and other blockchain platforms as well as alternative runtimes. A key aspect of this research will involve on-demand scaling - the ability to bring additional database shards online and distribute keys and transaction activity across the new shards in accordance with transaction volume demands, all while the platform remains online and operational.<br/><br/>This award reflects 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

47.084

1

4900

4900

2423309

{'FirstName': 'Robert', 'LastName': 'Bench', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Robert K Bench', 'EmailAddress': 'bench@radiustechnologysystems.com', 'NSF_ID': '0000A0083', 'StartDate': '06/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'RADIUS TECHNOLOGY SYSTEMS, INC', 'CityName': 'CAMBRIDGE', 'ZipCode': '021412031', 'PhoneNumber': '6174178242', 'StreetAddress': '153 5TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'L568YK6TWQU6', 'ORG_LGL_BUS_NAME': 'RADIUS TECHNOLOGY SYSTEMS, INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'RADIUS TECHNOLOGY SYSTEMS, INC', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021412031', 'StreetAddress': '153 5TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

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

2024~275000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423309.xml'}

SBIR Phase I: A Fusion-Fast-Fission Reactor

NSF

05/01/2024

01/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact/commercial potential of this Phase I Small Business Innovation Research (SBIR) project is a safer, less expensive, proliferation-resistant hybrid nuclear technology. Previous experiments fissioned natural uranium without enrichment, thereby removing nuclear proliferation as one of the roadblocks to the use of nuclear power. The hybrid sub-critical reactor has no chain reaction and can't run away. The hybrid is cooled with helium gas which can't become radioactive. Without cooling water, a large pressure dome isn't required reducing plant cost and site size. The hybrid produces fusion neutrons without large lasers or enormous magnets while keeping its fuel at a billion times the fuel density of tokamaks. The fast fusion neutrons will fission thorium and spent reactor fuel. A good business case comes from being paid twice to fission existing nuclear waste while generating electricity. Hybrid fuel rods can be installed in existing reactors to "burn" nuclear waste on-site while reducing the time between refueling cycles. The hybrid reactor makes the best use of fusion's fast neutrons and fission's high energy density without the complications of either. A new, safer, cleaner nuclear technology can reduce carbon emissions and present environmental advantages.<br/><br/><br/>This SBIR Phase I project proposes to characterize the Lattice Confinement Fusion-Fast Fission of depleted uranium through time-resolved neutron spectroscopy. Lattice Confinement Fusion holds deuterium fuel in a metal lattice as an electron-screened, cold plasma at a billion times the plasma density of a tokamak. Extended Electrodynamics may provide insight into the fusion driver. Earlier experiments measured the fast fission of deuterium-loaded natural uranium and thorium by high-resolution gamma (HPGe) spectroscopy, alpha/beta scintillator spectroscopy, and solid-state nuclear track detectors. Neutron energies were calculated to average 6.4 MeV. Phase I will use these diagnostics and measure the fast neutron spectrum with multiple neutron scintillator spectrometers with 500 MHz sampling rates and 200 keV energy resolution from 300 keV to 20 MeV. We expect to observe the 2.45 MeV Deuterium Deuterium (DD), 14.1 MeV Deuterium Tritium (DT) fusion neutrons and conventional neutron fission spectra peaking at 1 MeV, averaging 2 MeV with a Maxwellian tail past 10 MeV. Phase I control, and active experiments will be shielded against cosmogenic neutrons. Four sets of ten-day runs are planned with four simultaneous micro-reactors per run. The neutron flux, drive currents, and voltages will determine the scaling efficacy of a fusion-fast-fission sub-critical hybrid reactor technology.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/22/2024

04/22/2024

None

Grant

47.084

1

4900

4900

2423343

{'FirstName': 'Lawrence', 'LastName': 'Forsley', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lawrence P Forsley', 'EmailAddress': 'lforsley@gechybrid.com', 'NSF_ID': '000916960', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'GLOBAL ENERGY CORPORATION', 'CityName': 'ANNANDALE', 'ZipCode': '220036044', 'PhoneNumber': '7037500500', 'StreetAddress': '5025B BACKLICK RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'VA08', 'ORG_UEI_NUM': 'MC3LTJXCMFA8', 'ORG_LGL_BUS_NAME': 'GLOBAL ENERGY CORPORATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'NASA/GLENN RESEARCH CENTER', 'CityName': 'CLEVELAND', 'StateCode': 'OH', 'ZipCode': '441353191', 'StreetAddress': '21000 BROOKPARK RD , OH US', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '11', 'CONGRESS_DISTRICT_PERF': 'OH11'}

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

2024~274936

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423343.xml'}

Conference: 2024 Neural Mechanisms of Acoustic Communication Gordon Research Conference and Seminar

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Paul Forlano', 'PO_EMAI': 'pforlano@nsf.gov', 'PO_PHON': '7032924611'}

The purpose of this project is to support a small meeting (~150 participants) organized by the Gordon Research Conference to discuss the neural mechanisms that underly acoustic, including vocal, communication. A primary focus of the meeting is on comparative and mechanistic approaches to the study of neural circuits that mediate interactive acoustic behavior across taxa that represent 800 million years of evolution. This approach to the study of the neural mechanisms underlying acoustic communication lends insight into general mechanisms of neural function and leads to the development of novel analytical and experimental approaches. The organizers aim to create an environment that generates conversations that will achieve a mechanistic and unifying understanding of the neural underpinnings of acoustic communication by uncovering broadly relevant algorithms. These exchanges will advance acoustic communication research by encouraging new ideas and collaborations, highlighting diversity in the field, and inspiring and mentoring the next generation of scientists. The request funds will be used to increase institutional diversity and support of early career investigators and students. <br/><br/>The 2024 Gordon Research Conference (GRC) focused on the Neural Mechanisms of Acoustic Communication (NMAC) will also include an associated Gordon Research Seminar (GRS) for pre- and postdoctoral trainees. The aim of the meeting is to assemble top researchers in the field to discuss their latest findings while also providing the opportunity for young investigators and graduate students to present their work alongside these established investigators. The format of this small meeting is optimized for discussions and debates and the 2024 NMAC has three specific aims: 1) To advance acoustic communication research by offering an environment that encourages questions and discussion, challenges current thinking, and provides opportunities for new collaborations; 2) to create a unique forum for interaction for researchers from a diversity of communication systems and break down boundaries between communities focused on different model systems, brain regions, research approaches; and 3) to educate new and early career investigators. There exists no meeting like the NMAC GRC for those interested in the neural circuits underlying communication. NMAC is therefore unique within the GRC family because it is focused on a behavior, rather than a brain region (e.g., cerebellum), a method (e.g., optogenetics), or a cellular process (e.g., neuroplasticity). The funds from this project will support a unique opportunity for a diverse gathering of top researchers in a highly interdisciplinary fashion to find new common ground concerning a critical and evolutionary ancient behavior whose production and perception is a fundamental feature of brain function.<br/><br/>This award reflects 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

47.074

1

4900

4900

2423414

[{'FirstName': 'Mala', 'LastName': 'Murthy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Mala Murthy', 'EmailAddress': 'mmurthy@princeton.edu', 'NSF_ID': '000568633', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Marc', 'LastName': 'Schmidt', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marc F Schmidt', 'EmailAddress': 'marcschm@sas.upenn.edu', 'NSF_ID': '000218252', 'StartDate': '04/03/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

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

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

[{'Code': '771300', 'Text': 'Activation'}, {'Code': '771400', 'Text': 'Modulation'}]

2024~19180

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423414.xml'}

A Genetic Blueprint for Differences Between Males and Females in Early Mammalian Development

NSF

10/01/2023

03/31/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Anna Allen', 'PO_EMAI': 'akallen@nsf.gov', 'PO_PHON': '7032928011'}

Although male and female mammals have different reproductive organs, other organs, such as the heart and lungs, seem to be identical. However, when looking at the genes being expressed in male and female cells in any organ, there are substantial differences. Some of these are due to the fact that female cells have two X chromosomes and males have one X and one Y chromosome. In addition, the hormones produced by the gonads can influence the genes expressed. How these molecular differences are established and how they affect functionality is not known. The objective of this project is to investigate the molecular differences between male and female mice, starting soon after fertilization and throughout embryonic development by characterizing gene expression and epigenetic features at successive stages of embryogenesis. The data generated will allow comparative studies with other model organisms and lend insight into how evolution has shaped male and female genetic and hormonal differences. The project includes outreach and educational programs to increase awareness of how male and female physiologies differ among students, both at the graduate and undergraduate level. This project will also provide training opportunities for undergraduate hands-on research experiences. In addition, it will contribute towards creating a resource to train students to teach genomic and bioinformatic concepts to high school students in the area. These students are generally from underrepresented backgrounds, especially in the STEM disciplines.<br/><br/>Beginning soon after fertilization, the X and Y chromosomes program autosomal gene expression and the epigenomic landscape, establishing male- and female-specific gene networks. The mechanisms underlying these effects are unknown, as well as how male and female biases evolve across development and in different lineages. The objective of this project is to fill this knowledge gap by integrating experimental and systems level analyses in vitro and in vivo. It examines the hypothesis that regulatory factors encoded on the X and Y chromosomes dictate differential expression and epigenetic profiles of autosomal genes. Hormones equalize some of these differences, but others persist, affecting cellular phenotypes even in the adult organism. This hypothesis will be tested by: 1) determining the transcriptional and epigenetic effects of differentially expressed regulatory factors in early embryogenesis; and 2) identifing the biases in gene expression and epigenetic patterns dependent on the X and Y chromosomes before and after the appearance of gonadal hormones. These experiments will exploit a mouse model that allows segregation of the genetic and hormonal components of the male and female phenotypes. Since epigenetic marks established in early development can be latent and relevant to gene expression at later stages, this research will also serve as a paradigm for understanding how events in embryogenesis influence dimorphisms after birth and beyond. Moreover, these studies will lay the groundwork for mechanistic studies on the effects of transcription and epigenetic factor dosage on the transcriptome.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/10/2024

05/10/2024

None

Grant

47.074

1

4900

4900

2423429

{'FirstName': 'Nora', 'LastName': 'Engel', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nora Engel', 'EmailAddress': 'nengel@coriell.org', 'NSF_ID': '000797666', 'StartDate': '05/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Coriell Institute for Medical Research', 'CityName': 'CAMDEN', 'ZipCode': '081031505', 'PhoneNumber': '8567574824', 'StreetAddress': '403 HADDON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Jersey', 'StateCode': 'NJ', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'NJ01', 'ORG_UEI_NUM': 'XQJNZNQZAFP3', 'ORG_LGL_BUS_NAME': 'CORIELL INSTITUTE FOR MEDICAL RESEARCH, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Coriell Institute for Medical Research', 'CityName': 'CAMDEN', 'StateCode': 'NJ', 'ZipCode': '081031505', 'StreetAddress': '403 HADDON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Jersey', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'NJ01'}

{'Code': '111900', 'Text': 'Animal Developmental Mechanism'}

2021~246324

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423429.xml'}

Conference: 2024 Flow and Transport in Permeable Media Gordon Research Conferences and Gordon Research Seminar

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Christopher S. Lowry', 'PO_EMAI': 'cslowry@nsf.gov', 'PO_PHON': '7032928825'}

This proposal supports student and early career scientists’ attendance at the 21st biennial Gordon Research Conference (GRC) on the Flow and Transport in Permeable Media and the 7th Gordon Research Seminar (GRS). The funds will be used to reduce the cost of conference attendance by young investigators and underrepresented minorities with the aim of supporting the next generation of researchers and increasing the diversity of the attendees. Many natural and engineered materials are porous and central to important societal challenges, such as the energy transition and the response of natural systems to human use and climate change. Improving our understanding of porous media is therefore essential to a wide range of disciplines and solving a broad spectrum of societal challenges. The GRC and GRS will expose students and early career scientists to these societally relevant problems and build new professional connections to support future solutions. &lt;br/&gt;&lt;br/&gt;The 2024 GRC and GRS conferences will present cutting-edge research on the role of porous media in the Energy Transition and Climate Change. The conference will expose students and early career scientists to sessions dedicated to crucial energy technologies such as geothermal energy, natural hydrogen accumulations, and geological carbon storage. The conference will bring together experts from academia and industry to identify challenges and possible solutions for building new collaborations in these areas. A second set of sessions will discuss the role of subsurface geology (i.e., porous media) in the response of natural systems to climate change. One session will cover the response of the intersection of atmosphere, soil, and bedrock. Another emerging subject is the hydrologic response of ice sheets to surface melting. The third session is dedicated to large-scale hydrogeological dynamics and how they can be integrated into land surface and climate models. The conference will bring together experts from academia and international research institutes in these areas.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/19/2024

03/19/2024

None

Grant

47.050

1

4900

4900

2423563

{'FirstName': 'Marc', 'LastName': 'Hesse', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marc A Hesse', 'EmailAddress': 'mhesse@jsg.utexas.edu', 'NSF_ID': '000542761', 'StartDate': '03/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '1579', 'Text': 'Hydrologic Sciences'}

2024~30135

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423563.xml'}

SBIR Phase I: Materials Science Digital Experts and AI-Powered Data Platform

NSF

06/15/2024

11/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Lindsay Portnoy', 'PO_EMAI': 'lportnoy@nsf.gov', 'PO_PHON': '7032928848'}

The broader/commercial impact of this SBIR Phase I project lies in its potential to significantly streamline the process of discovering and utilizing novel materials, vital for advancements in sectors like healthcare, energy, and national defense. A large portion of essential materials data is currently inaccessible, hidden within complex documents or known only to a handful of experts. This project aims to develop a technology that transforms this inaccessible data into useful information, drastically reducing the time needed for material selection from weeks to minutes, thereby accelerating scientific and technological advancement and enhancing national prosperity and security. The market for advanced materials is projected to grow to $2.1 trillion by 2025, and the business model for this initiative focuses on providing technological services to materials suppliers, ensuring a sustainable competitive advantage by improving access to and usability of critical data. Initially targeting the semiconductor industry and industries reliant on polymers, the strategy is to achieve significant market penetration, with anticipated substantial annual revenues by the third year of production, underlining its impact across multiple high-value industries. <br/><br/>This Small Business Innovation Research (SBIR) Phase I project addresses the critical challenge of "dark" data in materials science—valuable data that is unutilized because it is trapped in diverse formats or accessible only to a few experts. The primary research objective is to develop an artificial intelligence-driven platform capable of extracting and synthesizing this data into an accessible and interpretable format. The proposed research involves the creation of a customizable, conversational digital expert system that leverages advanced Large Language Models (LLMs) to interact with and learn from heterogeneous data sources, including natural language texts and inconsistent file formats. This system will enable the transformation of complex datasets into structured, actionable insights, facilitating rapid and accurate materials selection and application. The anticipated technical results include the successful demonstration of the platform's ability to interpret and organize large volumes of dark data, significantly reducing the time and expertise required to access this information. This breakthrough has the potential to catalyze discoveries and innovations in materials science by making decades of accumulated data readily available for research and commercial use.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/05/2024

06/05/2024

None

Grant

47.084

1

4900

4900

2423569

{'FirstName': 'Calvin', 'LastName': 'Li', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Calvin Li', 'EmailAddress': 'likoucalvinhao@gmail.com', 'NSF_ID': '000997441', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'FUM TECHNOLOGIES, INC', 'CityName': 'CAMBRIDGE', 'ZipCode': '021392723', 'PhoneNumber': '5712457258', 'StreetAddress': '178 HARVARD ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'W5HBG2REYJP3', 'ORG_LGL_BUS_NAME': 'FUM TECHNOLOGIES, INC', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'FUM TECHNOLOGIES, INC', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021392723', 'StreetAddress': '178 HARVARD ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

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

2024~275000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423569.xml'}

Travel: Participant Support for Micro/Nanoscale Heat and Mass Transfer International Conference

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Sumanta Acharya', 'PO_EMAI': 'sacharya@nsf.gov', 'PO_PHON': '7032924509'}

The 7th ASME Micro/Nanoscale Heat & Mass Transfer International Conference (MNHMT2024) will be held in Nottingham (England), UK, August 5-7, 2024. It follows the previous six conferences held in January 2008, December 2009, March 2012, November 2013, January 2016, and July 2019 with an average of about 300 attendees each. This conference is sponsored and organized by the ASME and located at the University of Nottingham campus. Research and education in micro/nanoscale heat and mass transfer have significantly advanced over the last three decades, with direct impact on many other fields and practices. The conference will provide a forum for researchers, students, and practitioners to exchange ideas on state-of-the-art research and development and identify future research needs. The conference will include keynote and invited presentations, penal discussions, as well as contributed oral and poster presentations. The NSF funding will be used to subsidize the registration fees and travel expenses for selected students, recent graduates, and panelists. Priority will be given to students from traditionally underrepresented groups. <br/><br/>MNHMT2024 will encourage and promote academic-government-industry collaborations and international corporations. The conference will bring together experts in micro/nanoscale science and engineering whose research may have lasting impact on the development of the fields of materials, energy, transportation, environment, national security, and health care. The conference will promote and encourage international collaboration and interactions, especially in the new frontiers of micro/nanoscale heat and mass transfer and their impact on emerging technologies. Such interactions will enable future opportunities in engineering research, including new directions and transformative research. As an effort of human resource development, young researchers, including graduate and undergraduate students, postdoctoral researchers, and junior faculty members, especially those from the underrepresented groups, will be particularly encouraged to attend the conference for them to benefit from the opportunity of interactions with their peers and experts in the field.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2423586

{'FirstName': 'Zhuomin', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Zhuomin Zhang', 'EmailAddress': 'zhuomin.zhang@me.gatech.edu', 'NSF_ID': '000095189', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Georgia Institute of Technology', 'CityName': 'ATLANTA', 'StateCode': 'GA', 'ZipCode': '303320001', 'StreetAddress': '771 Ferst Dr. NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '140600', 'Text': 'TTP-Thermal Transport Process'}

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423586.xml'}

SBIR Phase I: Revolutionizing Optical Communications from Ground to Space with Novel ZBLAN Manufacturing

NSF

05/01/2024

11/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anna Brady', 'PO_EMAI': 'abrady@nsf.gov', 'PO_PHON': '7032927077'}

The broader impact/commercial potential of this Phase I Small Business Innovation Research (SBIR) project builds upon the unique properties of ZBLAN, short for Zirconium-Barium-Lanthanum-Aluminum-Sodium fluorides, which boast many advantageous properties, including a wide transparency window, superior optical transmission loss, and small phonon energy when compared to state-of-the-art silica. ZBLAN can unlock radical performance improvements for telecommunication products, fiber lasers, and remote sensors. However, commonplace manufacturing techniques cannot develop ZBLAN without light-scattering defects, rendering glass to applications but ineffective for many of the most important ones. Based on modern automation, robotics, and processing techniques, this project builds a path to manufacturing this fiber to limit the growth of light-scattering defects. Moreover, the manufacturing process is further enhanced when performed in space. Due to the exceptional characteristics of microgravity, it is possible to produce a ZBLAN product devoid of scattering defects, offering a transformational leap in optical transmission capabilities. After successful preliminary tests, this project will develop the necessary hardware to develop ZBLAN at scale, both on Earth and in microgravity. This project is expected to catalyze a high growth, high throughput, scalable and profitable in-space production process with meaningful societal impact.<br/><br/>This SBIR Phase I project proposes to develop an instrument capable of rapidly casting molten ZBLAN glass through minute-scale apertures, aiming to streamline manufacturing by eliminating bubbles and restricting defect growth. This project seeks to overcome the challenges historically hindering ZBLAN optical preform production. The approach will produce high-value products that can radically improve optical capabilities by identifying a method to create precise preform core dimensions. Currently, state-of-the-art manufacturing processes lack the accuracy and standardization required to meet ZBLAN's stringent tolerances. This project leverages extensive theoretical calculations to optimize the melting, casting, and annealing of ZBLAN, which is crucial for minimizing crystalline defects and maximizing transparency. By leveraging novel automation techniques, harnessing the unique properties of microgravity, and effectively managing heat loads, this project is pioneering the in-space manufacturing industry, as demonstrated by the company's recent ISS experiment where astronauts pulled ~10km of ZBLAN in space. The project will develop an automated ZBLAN manufacturing technology to enable scalable terrestrial and in-space ZBLAN production. It will allow the company to develop new optical products - starting with free-space mid-wave infrared optical links. This innovative approach is poised to pioneer in-space manufacturing and propel the development of high-value ZBLAN products.<br/><br/>This award reflects 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

47.084

1

4900

4900

2423603

{'FirstName': 'Michael', 'LastName': 'Vestel', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael J Vestel', 'EmailAddress': 'michael.vestel@flawlessphotonics.com', 'NSF_ID': '000843644', 'StartDate': '04/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'FLAWLESS PHOTONICS, INC.', 'CityName': 'HUNTINGTON BEACH', 'ZipCode': '926485579', 'PhoneNumber': '4088358545', 'StreetAddress': '19345 BROOKTRAIL LN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_ORG': 'CA47', 'ORG_UEI_NUM': 'GUT1N1AX8513', 'ORG_LGL_BUS_NAME': 'FLAWLESS PHOTONICS, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Flawless Photonics Inc.', 'CityName': 'Reno', 'StateCode': 'NV', 'ZipCode': '895112099', 'StreetAddress': '5470 Kietzke Lane, Suite 300', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Nevada', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NV02'}

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

2024~274999

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423603.xml'}

SBIR Phase I: Holistic System for Comprehensive Student Assessment

NSF

07/01/2024

06/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Lindsay Portnoy', 'PO_EMAI': 'lportnoy@nsf.gov', 'PO_PHON': '7032928848'}

The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to help educators meet the needs of all their students by leveraging AI and Natural Language Processing (NLP) tools to examine robust sets of student learning data including quantitative and qualitative samples such as essays, written assignments, lab reports, and reflections, to determine student progress based on specific standards and competencies for more holistic and comprehensive assessment of student learning. The real-time, detailed analysis of student learning through qualitative and quantitative data analysis enables educators and administrators to understand how each learner, class, grade, and school is progressing in their learning. By contrast to more summative, end-of-course or end-of-year assessments which offer limited or delayed insights on student learning, this project provides educators and learners with access to deep analysis of student learning to make systemic course corrections and enable teachers to identify which standards and skills student's have been mastered and which need additional support in support of a more holistic approach to assessment and learning in primary and secondary education.<br/><br/>This Small Business Innovation Research (SBIR) Phase I project will investigate the effects targeted large language model (LLM) fine-tuning using parameter-efficient fine-tuning (PEFT) and natural language processing (NLP) and infinite-context LLM based natural language generation (NLG) on qualitative and quantitative assessments of learners in grades 5-12. This research goal addresses, first, the problem that NLG is being used to generate feedback and content without targeted fine-tuning. There is an opportunity to use PEFT to allow for rapid, individualized NLG. Second, assessment relies on grades and tests that may not capture learning as robustly as necessary for a more holistic assessment mechanisms to make rapid and real-time shifts and provide comprehsive feedback. The technological innovation will use infinite context LLM pipelines and NLP techniques to allow teachers and administrators to gain a more complete view of students’ learning over time. This technical innovation will be paired with discourse analysis of collaborating educators and administrators to investigate effects of these novel NLP and NLG technologies on student learning over time. It is anticipated the intervention will provide educators with much greater visibility into distinct learning paths and provide timely feedback to improve K12 education.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/21/2024

06/21/2024

None

Grant

47.084

1

4900

4900

2423635

{'FirstName': 'Dylan', 'LastName': 'Medina', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Dylan L Medina', 'EmailAddress': 'dylan@gotlearning.com', 'NSF_ID': '0000A00L5', 'StartDate': '06/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'ONE SPOT LEARNING, INC.', 'CityName': 'BRYN MAWR', 'ZipCode': '190101039', 'PhoneNumber': '6508323222', 'StreetAddress': '741 CONESTOGA RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'StateCode': 'PA', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_ORG': 'PA05', 'ORG_UEI_NUM': 'S776NHPLV3E7', 'ORG_LGL_BUS_NAME': 'ONE SPOT LEARNING, INC.', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'ONE SPOT LEARNING, INC.', 'CityName': 'BRYN MAWR', 'StateCode': 'PA', 'ZipCode': '190101039', 'StreetAddress': '741 CONESTOGA RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Pennsylvania', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'PA05'}

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

2024~256800

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423635.xml'}

Conference: 2024 Optics and Photonics in Medicine and Biology Gordon Research Conference and Seminar

NSF

05/01/2024

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': 'Adam Wax', 'PO_EMAI': 'awax@nsf.gov', 'PO_PHON': '7032928809'}

The 2024 Gordon Research Conference (GRC) on Optics and Photonics in Medicine and Biology (OPMB), brings together current and future generations of interdisciplinary scientists and engineers from around the world who do research on lasers and optics used for medical applications. For a week during the summer, these scientists and researchers from universities, companies, hospitals and national/government laboratories from around the country and the world, come together in a quiet setting on a college campus in Maine to present their latest results, discoveries and inventions and to discuss these with one another. An important component of this particular conference is that more than half of the attendees are scientists who are the beginning of their careers (graduate students and the like) who will have the unique opportunity to hear from and interact with the well-known and established scientists and leaders in their field. The conference also has made a strong effort to bring together a very diverse group of attendees with close to 40% being female, more than 1/3 of the attendees coming from countries outside of the US and a significant number being part of traditionally underrepresent groups in science and engineering. One of the results of this from previous conferences like this one, has been that the participants get to really know each other and start to work together. They become colleagues and collaborators and in some cases friends for life. Ultimately this means that together they can make more research progress than each person can on their own which in turn benefits society and ultimate the patients that benefit from these new technologies. During formal presentations and informal discussions the overall goal of the meeting is to work together and exchange ideas in order to improve our understanding of how light interacts with biological tissue and how lasers and other optical technologies can be used to diagnose and treat diseases such as cancer or heart disease and use those high tech approaches to understand how certain parts of the body such as the brain actually work.<br/><br/>The theme of the 2024 GRC-OPMB conference is “Biophotonics: From Fundamental Physics to Applied Physiology”, The conference will consist of 9 scientific sessions with 3 or 4 invited speakers each. Each session will focus on a biophotonic technology, research question or application area. Topics within a session span the full spectrum from fundamental biophysics to biological science question to clinical medicine and explore the current and future use of these advances for improving health and wellness. Most of the topics and sessions directly align with the interest and mission of the NSF, especially the sessions on ‘Quantum Biophotonics’, ‘AI/ML in Optical Imaging’, ‘Modeling and Theory of Laser-Tissue Interactions’ and throughout the conference and its participants there will be a significant focus on early career investigators and diversity. In addition, there will be 4 poster sessions throughout the week where all attendees are encouraged to present their latest research findings.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.041

1

4900

4900

2423720

[{'FirstName': 'Leah', 'LastName': 'Wilk', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Leah S Wilk', 'EmailAddress': 'l.s.wilk@amsterdamumc.nl', 'NSF_ID': '0000A00SN', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'E. Duco', 'LastName': 'Jansen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'E. Duco Jansen', 'EmailAddress': 'duco.jansen@vanderbilt.edu', 'NSF_ID': '000492834', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

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

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

{'Code': '723600', 'Text': 'BioP-Biophotonics'}

2024~15300

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423720.xml'}

EAGER: Pedogenic Carbonates Record Insolation Driven Surface Melting in Antarctica

NSF

10/01/2024

09/30/2026

{'Value': 'Standard Grant'}

{'Code': '06090300', 'Directorate': {'Abbreviation': 'GEO', 'LongName': 'Directorate For Geosciences'}, 'Division': {'Abbreviation': 'OPP', 'LongName': 'Office of Polar Programs (OPP)'}}

{'SignBlockName': 'Michael E. Jackson', 'PO_EMAI': 'mejackso@nsf.gov', 'PO_PHON': '7032927120'}

Non-technical abstract<br/><br/>Earth’s climatic changes have been recorded in the ice core collected from the Antarctic ice sheet. While these records provide a high resolution view of how polar temperatures changed through time, it is not always clear what Earth process influence Antarctic climate. One likely contributor to Antarctic temperature changes is the cyclic changes in Earth’s orientation as it orbits the sun. These so-called Milankovitch cycles control the amount and pattern of sunlight reaching the polar regions, that in turn result in periods of climatic warming or cooling. While the orbital variations and control on incoming solar energy remain well understood, how they influence Antarctic climate remains unresolved. It is the goal of this project to determine how variations in Earth’s orbit may be locally influencing Antarctic temperatures. The researchers on this project are pursing this goal by identifying periods of past ice melting on the surface of Antarctica using minerals that precipitate from the meltwaters that resulted from past warm periods. The timing of this past melting will be determined by radioisotopic dating of the minerals using the natural radioactive decay of uranium to thorium. By dating numerous samples, collected in past scientific expeditions throughout the Antarctic continent, these researchers aim to reconstruct the frequency and spatial pattern of past warming and in doing so, determine what aspect of Earth’s orbital variations influences Antarctic ice loss.<br/><br/>Technical abstract<br/><br/>Antarctic ice cores provide high resolution records of Pleistocene Southern Hemisphere temperatures that show an overall coherence with Northern Hemisphere temperature variations. One explanation for this bi-hemispheric temperature covariance relies on changes in atmospheric CO2 that result from varying northern hemisphere insolation. An alternative posits that the apparent coherence of polar temperatures is due to the misleading covariance between northern hemisphere summer insolation and, the southern hemisphere summer duration. At present there is an insufficient understanding of the role that local insolation plays in Antarctic climate. The goal of this research project is to identify the temporal spatial patterns of solar forcing in Antarctica. To reach this goal, the project team will: 1) develop a way to identify periods of past surface melt production in Antarctica using U-Th dating of pedogenic carbonates; and 2) utilize the evidence of past surface melting to calibrate energy balance models and interrogate past Antarctic surface temperatures and; 3) compare the timing of Antarctic warm periods to potential solar forcing mechanisms such as peak summer insolation or summer duration. A means of identifying the spatial and temporal pattern at which local insolation influences Antarctic temperature would provide a transformative solution to the contradiction in current climate records.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/11/2024

04/11/2024

None

Grant

47.078

1

4900

4900

2423761

[{'FirstName': 'Slawek', 'LastName': 'Tulaczyk', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Slawek M Tulaczyk', 'EmailAddress': 'stulaczy@ucsc.edu', 'NSF_ID': '000303275', 'StartDate': '04/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Nicole', 'LastName': 'Feldl', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicole Feldl', 'EmailAddress': 'nfeldl@ucsc.edu', 'NSF_ID': '000641379', 'StartDate': '04/11/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Terrence', 'LastName': 'Blackburn', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Terrence Blackburn', 'EmailAddress': 'terryb@ucsc.edu', 'NSF_ID': '000650898', 'StartDate': '04/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'ZipCode': '950641077', 'PhoneNumber': '8314595278', 'StreetAddress': '1156 HIGH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_ORG': 'CA19', 'ORG_UEI_NUM': 'VXUFPE4MCZH5', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA SANTA CRUZ', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Cruz', 'CityName': 'SANTA CRUZ', 'StateCode': 'CA', 'ZipCode': '950641077', 'StreetAddress': '1156 HIGH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '19', 'CONGRESS_DISTRICT_PERF': 'CA19'}

{'Code': '511200', 'Text': 'ANT Earth Sciences'}

2024~299055

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423761.xml'}

CAREER: Cognitive Diagnosis in E-Learning: A Nonparametric Approach for Computerized Adaptive Testing

NSF

04/01/2024

01/31/2025

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Finbarr Sloane', 'PO_EMAI': 'fsloane@nsf.gov', 'PO_PHON': '7032928465'}

This is a Faculty Early Career Development Program (CAREER) project. The CAREER program is a National Science Foundation-wide activity that offers the most prestigious awards in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research. The investigator will develop a Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) system to support the learning of introductory statistics at the university level. The work represents a significant advance in educational testing to provide personalized assessments which in turn generate diagnostic information based on students' proficiency profiles, as opposed to an abstract overall test score. &lt;br/&gt;&lt;br/&gt;The research deals specifically with difficulties such as the requirement of large samples, underdevelopment in identification of the underlying model, and possible technical complexity limiting the availability of the model-based CD-CAT to educational practitioners; especially teachers and their students in smaller instructional settings. In light of these considerations, the project first proposes an innovative general nonparametric classification (GNPC) alternative, which is a general version of the nonparametric classification (NPC) method. The GNPC method can be used to analyze not only large- but also small-scale data, such as course-based data, conforming to a broad range of cognitive diagnostic models, an advantage that makes cognitive diagnosis analysis accessible to those who are in its highest need. The development of this ready-to-use heuristic method then moves the field further toward the routine use of the nonparametric CD-CAT within educational micro-environments. The proposed algorithms will be applied to online statistics courses, where high-performance formative assessments are employed to provide useful and timely feedback on how well students perform. The proposed line of inquiry integrates research and education through the development of an online CD-CAT system to support the learning of statistics. The education activities include both teaching at the graduate level and professional development activities for teachers and researchers.

03/28/2024

03/28/2024

None

Grant

47.076

0

4900

4900

2423762

{'FirstName': 'Chia-Yi', 'LastName': 'Chiu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chia-Yi Chiu', 'EmailAddress': 'cchiu@umn.edu', 'NSF_ID': '000550267', 'StartDate': '03/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Teachers College, Columbia University', 'CityName': 'NEW YORK', 'ZipCode': '100276605', 'PhoneNumber': '2126783000', 'StreetAddress': '525 W 120TH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_ORG': 'NY13', 'ORG_UEI_NUM': 'DBM1C8MDJ5L3', 'ORG_LGL_BUS_NAME': 'TEACHERS COLLEGE COLUMBIA UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Teachers College, Columbia University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100276605', 'StreetAddress': '525 W 120TH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'NY13'}

{'Code': '7980', 'Text': 'ECR-EDU Core Research'}

2020~23886

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423762.xml'}

Travel: NSF Student Travel Grant for the Seventh Conference on Machine Learning and Systems (MLSys 2024)

NSF

05/01/2024

10/31/2024

{'Value': 'Standard Grant'}

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

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

The 2024 Machine Learning and Systems (MLSys) conference is the seventh in an established series of symposia that brings together industry, faculty, and student researchers working on machine learning and computer systems. The conference is held at the Santa Clara Convention Center in California, United States, May 13th to 16th, 2024. The program includes research papers from academia and industry, three keynote talks by internationally recognized leaders in the field, and a day-long young professionals symposium. This award provides funding to help cover the travel costs for U.S.-based graduate and undergraduate students to attend the conference. Students receiving travel support benefit from the opportunity to engage in technical, professional, educational and social exchanges. The conference serves as an open forum to exchange research results and develop new ideas, as well as an educational platform to expose students to new research methodologies, tools, and infrastructures, and as a social event to network and prepare students as future researchers and leaders.<br/><br/>The conference targets research at the intersection of machine learning and systems, which historically has not been particularly well addressed by existing Machine Learning or Computer Systems focused conferences. The conference elicits new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. The award will enable the participation of students who would otherwise be unable to attend, particularly students under-represented in the machine learning and computer systems fields. Moreover, the undergraduate students who are supported gain valuable exposure to the forefront of research in these areas, encouraging them to further their education by continuing on to graduate school.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

04/15/2024

None

Grant

47.070

1

4900

4900

2423768

{'FirstName': 'Phillip', 'LastName': 'Gibbons', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Phillip Gibbons', 'EmailAddress': 'gibbons@cs.cmu.edu', 'NSF_ID': '000270775', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '736400', 'Text': 'Info Integration & Informatics'}, {'Code': '749500', 'Text': 'Robust Intelligence'}]

2024~25000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423768.xml'}

Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code

NSF

01/15/2024

09/30/2027

{'Value': 'Standard Grant'}

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

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

Advances in artificial intelligence (AI) have led to the development of several new types of tools for software developers that aim to help automate various parts of the software development process of building and maintaining software. However, the combination of complex underlying deep-learning models and massive training datasets makes it difficult to interpret why these models, and the developer tools powered by them, behave the way they do. Given the increasingly important role that these tools are beginning to play in software engineering (SE), it is imperative that techniques be developed that allow stakeholders to better understand and work with these tools such that critical software infrastructure can be maintained. This project will develop a framework and methodology that enables both researchers who build AI-powered developer tools, and software engineers who use these tools, to interpret why the underlying models make the predictions they do. The objective is to allow researchers to obtain detailed insights into why a model may not be performing as expected, allowing for targeted improvement and informed creation of new models. The methodology will be integrated into AI-powered software development tools, allowing software engineers to make informed decisions about when a tool’s suggestion may be helpful or harmful, thus building trust in their use. The interpretability framework will also enable new forms of interaction with these tools, providing a mechanism for natural language feedback that improves over time. This project will produce and disseminate educational materials on best practices related to building and using AI-powered programming tools. These materials are intended to be integrated into existing computer-literacy courses at all levels of education. In addition, the project will focus on recruiting and retaining computer science students from traditionally underrepresented categories.<br/><br/>This project has three specific goals. First, it will design an automated approach for generating global explanations of the behavior of “context-free” neural language models for source code. This component of the project will map predictions from large language models to human-interpretable programming language concepts using causal inference theory, wherein explanations of behavior will be generated via causal interventions. Second, it will develop automated techniques for local explanations of contextualized language models of code by developing a set of interpretability techniques that generate behavioral, feature-based, and textual explanations defined for given SE tasks (e.g., program repair). Finally, the project will create techniques that enable researchers and developers to provide feedback to models based on generated explanations.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/05/2024

05/15/2024

None

Grant

47.070

1

4900

4900

2423813

{'FirstName': 'Kevin', 'LastName': 'Moran', 'PI_MID_INIT': 'P', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin P Moran', 'EmailAddress': 'kpmoran@ucf.edu', 'NSF_ID': '000788103', 'StartDate': '04/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'The University of Central Florida Board of Trustees', 'CityName': 'ORLANDO', 'ZipCode': '328168005', 'PhoneNumber': '4078230387', 'StreetAddress': '4000 CENTRAL FLORIDA BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Florida', 'StateCode': 'FL', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'FL10', 'ORG_UEI_NUM': 'RD7MXJV7DKT9', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF CENTRAL FLORIDA BOARD OF TRUSTEES', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'The University of Central Florida Board of Trustees', 'CityName': 'ORLANDO', 'StateCode': 'FL', 'ZipCode': '328168005', 'StreetAddress': '4000 CENTRAL FLORIDA BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Florida', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'FL10'}

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

2023~745197

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423813.xml'}

PZT-hydrogel integrated active non-Hermitian complementary acoustic metamaterials with real time modulations through feedback control circuits

NSF

01/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

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

This grant will support research that will generate new fundamental knowledge on the dynamic and acoustic properties of a PZT-hydrogel based active complementary acoustic metamaterial. Such acoustic metamaterials will enable high energy transmission at high frequency through sound barriers, including those with strong intrinsic loss like skull for brain imaging and brain-machine interface. Transcranial ultrasound (i.e. ultrasound transmission through skull) has many applications including noninvasive surgeries and drug delivery. However, current transcranial ultrasound techniques are all based on sound waves with relatively low frequency and poor spatial resolution, and the energy transmission through the lossy skull is low even for such low frequency sound waves. Brain imaging and brain-machine interfaces require better spatial resolution, which can be realzied by enabling transmission of high frequency ultrasound through skulls, which is not achievable with existing technologies. Active non-Hermitian complementary acoustic metamaterials (NHCMM) are promising compensation media to complement with the strong transmission loss through skull for high frequency acoustic waves. This project explores the acoustic and material properties of PZT-hydrogel composites integrated with feedback control circuits for the experimental realization of NHCMM that can compensate the high frequency ultrasound transmission loss through a real skull. This experimental realization will set the foundation for high resolution ultrasound brain imaging and brain-machine interface. This research will have broader impacts in science, defense, industry and general society by satisfying the critical need for high performance brain imaging and brain-machine interface. In addition, this research will promote the progress of fundamental acoustics, soft matter physics, and metamaterials. This multi-disciplinary research will broaden the participation of underrepresented groups in science and engineering and positively impact STEM education.<br/><br/>The objective of this research is to design, fabricate, and experimentally characterize an active NHCMM by integrating PZT elements, hydrogel, and feedback control circuits that can be used to complement sound barriers, including those with strong intrinsic loss such as skull, to achieve optimal energy transmission for brain imaging and brain-machine interface. The NHCMM has effective density and bulk modulus with negative values of that of the barrier to suppress the strong impedance mismatch and material gain that balances the intrinsic loss in the barrier. The NHCMM will be realized by integrating piezoelectric elements and hydrogel with electrical circuit components. The integrated feedback control circuit will actively modulate the effective acoustic properties of the metamaterials to realize the desired parameters of NHCMM and compensate impedance mismatch and loss simultaneously. This fundamental research project will pave the road for the realization of noninvasive ultrasonic brain imaging, high intensity focused ultrasound treatments, brain stimulation, and brain-machine interface. To achieve the proposed objective, the two PIs will utilize their complemented expertise in acoustics, metamaterials, and soft matter to accomplish the following research tasks: 1) Identify the dynamic properties of different types of hydrogels in a wide ultrasonic frequency band; 2) Design and fabricate hydrogel-based active NHCMMs with feedback-circuit-controlled piezoelectric elements to realize any desired effective density and bulk modulus with acoustic gain; 3) Characterize and optimize NHCMMs to enhance acoustic energy transmission through lossy skull for brain imaging and brain-machine interface.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/14/2024

03/14/2024

None

Grant

47.041

1

4900

4900

2423820

{'FirstName': 'Chengzhi', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chengzhi Shi', 'EmailAddress': 'czshi@umich.edu', 'NSF_ID': '000788582', 'StartDate': '03/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2021~125825

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423820.xml'}

Collaborative Research: The evolution and development of fundamental reproductive structures: sporangia

NSF

07/15/2024

06/30/2028

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Philip Becraft', 'PO_EMAI': 'pbecraft@nsf.gov', 'PO_PHON': '7032922477'}

Non-Technical Paragraph: Plant reproductive structures come in many forms from fertile leaves to cones to flowers. The one commonality amongst all of these reproductive structures is the sporangium where the genetic material is halved. The transition to sporangium initiation and its subsequent development are essential for the production of plant genetic diversity, the completion of the plant life cycle, and the production of seeds. The evolution and development of sporangia are key to the success of land plants. Although the molecular genetics of sporangium development have been well studied in flowering plants, there is little comparative data across land plants. This project will investigate the molecular genetics of sporangium development in the model fern Ceratopteris. This research will allow us to understand the evolution of sporangia across plants and will fill a gap in our knowledge about plant reproduction. Furthermore, this knowledge may provide new insight in crop improvement as seed and fruit production is a major aspect of agriculture. This interdisciplinary collaborative project will train participants from high school students to postdoctoral fellows.<br/><br/>Technical Paragraph: The sporangium is the fundamental reproductive structure common to all land plants. The evolution and development of sporangia have been key to the reproductive success and diversity of land plants. The evolution of distinct sporangia evolved three times independently and was a necessary innovation for the evolution of the seed. The evolution of smaller sporangia with an effective dehiscence mechanism is key to the reproductive success of leptosporangiate ferns, the largest group of ferns. Therefore, elucidating a core sporangia development network will provide insights into not only the reproductive structure common to all plants but also the evolution and development of structures that are key to agriculture. Despite its fundamental importance, a comprehensive understanding of the evolutionary developmental genetics of the reproductive transition and concomitant sporangia development across land plants is lacking. This project will leverage the unique advantages of the model fern Ceratopteris with a combination of established and emerging technologies to address this major knowledge gap. This project will use a multi-pronged approach combining analyses of candidate gene evolution with phylogenetic, expression, and functional analyses as well as discovering new genes and the genetic network in the model fern Ceratopteris using in situ transcriptomics and LCM RNAseq. In addition, living collections will be leveraged to study the morphological diversity of reproductive structures across ferns. The collaborative project brings together unique skill sets from botany and developmental genetics to plant biotechnology. This project will further develop Ceratopteris as a model species for plant biology studies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.074

1

4900

4900

2423834

{'FirstName': 'Chi-Lien', 'LastName': 'Cheng', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chi-Lien Cheng', 'EmailAddress': 'chi-lien-cheng@uiowa.edu', 'NSF_ID': '000340190', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '108000', 'Text': 'Evolution of Develp Mechanism'}

2024~750000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423834.xml'}

Collaborative Research: The evolution and development of fundamental reproductive structures: sporangia

NSF

07/15/2024

06/30/2028

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Philip Becraft', 'PO_EMAI': 'pbecraft@nsf.gov', 'PO_PHON': '7032922477'}

Non-Technical Paragraph: Plant reproductive structures come in many forms from fertile leaves to cones to flowers. The one commonality amongst all of these reproductive structures is the sporangium where the genetic material is halved. The transition to sporangium initiation and its subsequent development are essential for the production of plant genetic diversity, the completion of the plant life cycle, and the production of seeds. The evolution and development of sporangia are key to the success of land plants. Although the molecular genetics of sporangium development have been well studied in flowering plants, there is little comparative data across land plants. This project will investigate the molecular genetics of sporangium development in the model fern Ceratopteris. This research will allow us to understand the evolution of sporangia across plants and will fill a gap in our knowledge about plant reproduction. Furthermore, this knowledge may provide new insight in crop improvement as seed and fruit production is a major aspect of agriculture. This interdisciplinary collaborative project will train participants from high school students to postdoctoral fellows.<br/><br/>Technical Paragraph: The sporangium is the fundamental reproductive structure common to all land plants. The evolution and development of sporangia have been key to the reproductive success and diversity of land plants. The evolution of distinct sporangia evolved three times independently and was a necessary innovation for the evolution of the seed. The evolution of smaller sporangia with an effective dehiscence mechanism is key to the reproductive success of leptosporangiate ferns, the largest group of ferns. Therefore, elucidating a core sporangia development network will provide insights into not only the reproductive structure common to all plants but also the evolution and development of structures that are key to agriculture. Despite its fundamental importance, a comprehensive understanding of the evolutionary developmental genetics of the reproductive transition and concomitant sporangia development across land plants is lacking. This project will leverage the unique advantages of the model fern Ceratopteris with a combination of established and emerging technologies to address this major knowledge gap. This project will use a multi-pronged approach combining analyses of candidate gene evolution with phylogenetic, expression, and functional analyses as well as discovering new genes and the genetic network in the model fern Ceratopteris using in situ transcriptomics and LCM RNAseq. In addition, living collections will be leveraged to study the morphological diversity of reproductive structures across ferns. The collaborative project brings together unique skill sets from botany and developmental genetics to plant biotechnology. This project will further develop Ceratopteris as a model species for plant biology studies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.074

1

4900

4900

2423835

{'FirstName': 'Barbara', 'LastName': 'Ambrose', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Barbara Ambrose', 'EmailAddress': 'bambrose@nybg.org', 'NSF_ID': '000522375', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'New York Botanical Garden', 'CityName': 'BRONX', 'ZipCode': '104585126', 'PhoneNumber': '7188178840', 'StreetAddress': '2900 SOUTHERN BLVD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'NY15', 'ORG_UEI_NUM': 'E7S2Q4L89F44', 'ORG_LGL_BUS_NAME': 'NEW YORK BOTANICAL GARDEN', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'New York Botanical Garden', 'CityName': 'BRONX', 'StateCode': 'NY', 'ZipCode': '104585126', 'StreetAddress': '2900 SOUTHERN BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'NY15'}

{'Code': '108000', 'Text': 'Evolution of Develp Mechanism'}

2024~750000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423835.xml'}

RoL: COLLABORATIVE RESEARCH: EXTREME ENVIRONMENTS, PHYSIOLOGICAL ADAPTATION, AND THE ORIGIN OF SPECIES

NSF

10/01/2023

12/31/2024

{'Value': 'Standard Grant'}

{'Code': '08090300', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'IOS', 'LongName': 'Division Of Integrative Organismal Systems'}}

{'SignBlockName': 'Keith Reinhardt', 'PO_EMAI': 'kreinhar@nsf.gov', 'PO_PHON': '7032924854'}

Extreme environments allow for the investigation of life's capacity and limitations to cope with far-from-average environmental conditions. Springs rich in hydrogen sulfide represent some of the most extreme freshwater environments because hydrogen sulfide halts energy production in animal cells. Nonetheless, some fish have colonized sulfide springs throughout the Americas and have evolved into new species in the process. This project will investigate how the genetic changes that mediate the fish's ability to tolerate hydrogen sulfide impact their ability to successfully interbreed with related fish that live in adjacent freshwater streams. It involves the identification of genetic differences between hydrogen sulfide-tolerant and susceptible populations, particularly in genes associated with pathways affected by hydrogen sulfide toxicity. In addition, it will be tested how hybrids between tolerant and susceptible populations differ from their parents. Specifically, the function of mitochondria and whole organisms will be compared between parents and hybrids in presence or absence of hydrogen sulfide. This project will yield new insights into how adaptation to environmental stress leads to genetic incompatibilities that represent barriers for interbreeding between populations, and thus, into how new species form. This project provides training opportunities in integrative biology for participants at all levels of higher education. It will also contribute to science education and public outreach by training scientists to become effective science communicators and reach non-expert audiences in collaboration with informal education institutions. <br/><br/>Natural selection drives adaptive evolution and can cause speciation. However, the potential role of intrinsic genetic incompatibilities during speciation with gene flow remains largely unknown. Investigating speciation with gene flow in the context of physiological adaptation allows closing existing gaps of knowledge. This is possible through integrated analyses of how selection shapes genomic divergence, how recombination of divergent genomes in hybrids affects physiological function, and how these functional consequences affect the speciation process. This project tests a priori predictions about the links between physiological adaptation to toxic hydrogen sulfide and the emergence of reproductive isolation. It will focus on components of a highly conserved metabolic pathway, oxidative phosphorylation (OXPHOS), which plays a central role in adaptation to hydrogen sulfide. Because OXPHOS components are encoded by both the mitochondrial and the nuclear genomes, theory predicts that adaptive modification of OXPHOS should give rise to mitonuclear incompatibilities and contribute to the speciation process. This project investigates the mechanistic links between physiological adaptation and speciation by testing a priori predictions about (1) how OXPHOS adaptation affects genomic divergence between populations living in different environments, (2) the functional consequences of mitonuclear incompatibilities at the biochemical, physiological, and organismal levels, and (3) the relative role of mitonuclear incompatibilities during speciation. The project employs an integrative approach that combines population genomics, assays of enzyme, organelle, and whole organism function, as well as field and laboratory experiments for the quantification of multiple pre- and postzygotic mechanisms of reproductive isolation.<br/><br/>This award was co-funded by BIO/Emerging Frontiers, DEB/Evolutionary Processes, and IOS/Integrative Ecological Physiology.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/05/2024

04/05/2024

None

Grant

47.074

1

4900

4900

2423844

{'FirstName': 'Michael', 'LastName': 'Tobler', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Tobler', 'EmailAddress': 'tobler@ksu.edu', 'NSF_ID': '000581770', 'StartDate': '04/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Missouri-Saint Louis', 'CityName': 'SAINT LOUIS', 'StateCode': 'MO', 'ZipCode': '631214400', 'StreetAddress': '1 UNIVERSITY BLVD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Missouri', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'MO01'}

[{'Code': '112700', 'Text': 'Evolutionary Processes'}, {'Code': '727500', 'Text': 'Cross-BIO Activities'}, {'Code': '765700', 'Text': 'Integrtv Ecological Physiology'}]

2019~496588

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423844.xml'}

I-Corps: Electric Fleet Management

NSF

10/01/2023

11/30/2024

{'Value': 'Standard Grant'}

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

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

The broader impact/commercial potential of this I-Corps project is the ability to provide electric vehicle data prior to their deployment. Thus, there are a multitude of customer segments that can be addressed. These segments include: Electric vehicle fleet resellers and manufacturers that want to sell electric vehicles to fleets; Fleet managers that want to intelligently plan this transition; Fleet software companies that want to electric vehicle analysis in their offerings; Utility companies that need to understand what infrastructure upgrade requirements; Charging station providers and government agencies that want to intelligently place their charging stations; and insurance agencies that want to scope new electric vehicle policies. Within each of the segments, this project can span across all vehicle types, such as drones, and all power options, such as hydrogen, propane and electric. The fleet software market is currently $18.2 Billion and expected to grow to $67.4 Billion by 2029. Within the US, it’s currently $7.16 Billion and commercial electric vehicles currently account for 2% of the market; however, this is expected to significantly increase over the next decade. By providing simulated electric vehicle data, this project will help customers make informed decisions on their sustainable transition and avoid disrupting their services.&lt;br/&gt;&lt;br/&gt;This I-Corps project is based on the development of software that allows fleets and utilities to simulate the performance of different electric vehicles for their use case and analyze their tradeoffs; determine charging infrastructure requirements; determine the battery life cycle throughout their operation; forecast the power load of charging stations; and explore the associated economics all within a digital environment. This tool provides an inexpensive opportunity to de-risk the electrification transition and facilitate the green transportation revolution. This patented technology works by integrating vehicle power dynamics, battery dynamics and real-world data from the location to provide realistic predictions on the performance of the vehicles and the subsequent infrastructure requirements. The route of each vehicle is determined using the customer’s telematics data or can be generated using any routing algorithm. The results from each of the vehicles are then gathered and used to provide both individual vehicle and fleet performance metrics for design decisions. The software’s modularity allows it to handle multiple types of vehicles, including aircraft, and any type of power source, including hydrogen. Therefore, mixed fleets can seamlessly integrate into the software, and it can provide additional insights to the performance and services such as climate impact reports.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/27/2024

03/27/2024

None

Grant

47.084

1

4900

4900

2423862

{'FirstName': 'Venkatasubraman', 'LastName': 'Viswanathan', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Venkatasubraman Viswanathan', 'EmailAddress': 'venkvis@umich.edu', 'NSF_ID': '000663859', 'StartDate': '03/27/2024', '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': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': 'RI REQUIRED', 'StateName': 'RI REQUIRED', 'CountryFlag': '0', 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}

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

2023~45567

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423862.xml'}

NSF-ANR MCB/PHY Collaborative Research: En Route to Amyloid Formation: Protein and Hydration-Water Dynamics Under Liquid-Liquid Phase Separation

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Angel Garcia', 'PO_EMAI': 'aegarcia@nsf.gov', 'PO_PHON': '7032928897'}

Liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) is a hot topic at the interface between biology, physical chemistry, and biophysics. Of particular interest is the possible role played by LLPS in the pathological aggregation of proteins into amyloid fibrils. This award aims to elucidate how protein-rich droplets, known to play important roles in normal cellular function, can, under certain conditions, promote the pathological aggregation of proteins associated with neurodegenerative diseases. At this time, the basic properties of the protein droplets have been scarcely characterized, and the processes leading to droplet formation promoting protein aggregation are unknown. Using coordinated experimental and computational research, carried out by a team of scientist in the US and France, this project will explore factors governing droplet formation and aggregation of two proteins: tau and alpha-synuclein. The research will generate fundamental knowledge in protein science and provide new insight into the molecular processes that are at the origin of protein aggregation diseases. Support will enable the exchange of junior (graduate student and postdoctoral researchers) between institutions, furthering the education and professional development of those young scientists. <br/><br/>The research conducted as part of this award will explore the role of LLPS in the aggregation of the IDPs tau and alpha-synuclein. The research will employ an innovative combination of computational and experimental techniques, namely electron paramagnetic resonance (EPR), Overhauser Dynamics Nuclear Polarization (ODNP), neutron scattering (NS) and multiscale computer simulations. Simulations will employ a unique combination of molecular dynamics and field theory approaches to gain novel insights into protein conformations and hydration water dynamics, and to map phase behavior of the IDPs. The consortium is composed of three French and two American partners that form a multidisciplinary team of structural biologists and biochemists, biophysicists, physicists, and computational chemists with computational and experimental expertise in protein sciences. The contributions of all five partners are essential to create the synergy necessary to tackle the challenging objectives. <br/><br/>Besides generating fundamental knowledge in protein science, this project will provide new insight into the molecular processes that are at the origin of protein aggregation diseases. This award will enable the exchange of junior (graduate student and postdoctoral researchers) between institutions, furthering the education and professional development of those young scientists. Collaborative activities will include physical exchanges of junior researchers from the US visiting the IBS in Grenoble and University of Bordeaux in France, and junior researchers from France visiting Boston University and UC Santa Barbara in the US. Visits will include active research activities, involvement in group meetings, and presentation of research seminars. <br/><br/>This collaborative US/France project is supported by the US National Science Foundation (NSF) and the French Agence Nationale de la Recherche (ANR), where NSF funds the US investigators and ANR funds the partners in France. The US investigators are jointly funded by the Physics of Living Systems program in the Directorate for Mathematical and Physical Sciences and the Molecular Biophysics program/Division of Molecular and Cellular Biosciences in the Directorate for Biological Sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.074

1

4900

4900

2423884

{'FirstName': 'John', 'LastName': 'Straub', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'John E Straub', 'EmailAddress': 'straub@bu.edu', 'NSF_ID': '000245903', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '114400', 'Text': 'Molecular Biophysics'}

2024~154000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423884.xml'}

NSF-ANR MCB/PHY Collaborative Research: En route to Amyloid Formation: Protein and Hydration-Water Dynamics Under Liquid-Liquid Phase Separation

NSF

07/01/2024

06/30/2027

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Angel Garcia', 'PO_EMAI': 'aegarcia@nsf.gov', 'PO_PHON': '7032928897'}

Liquid-liquid phase separation (LLPS) of intrinsically disordered proteins (IDPs) is a hot topic at the interface between biology, physical chemistry, and biophysics. Of particular interest is the possible role played by LLPS in the pathological aggregation of proteins into amyloid fibrils. This award aims to elucidate how protein-rich droplets, known to play important roles in normal cellular function, can, under certain conditions, promote the pathological aggregation of proteins associated with neurodegenerative diseases. At this time, the basic properties of the protein droplets have been scarcely characterized, and the processes leading to droplet formation promoting protein aggregation are unknown. Using coordinated experimental and computational research, carried out by a team of scientist in the US and France, this project will explore factors governing droplet formation and aggregation of two proteins: tau and alpha-synuclein. The research will generate fundamental knowledge in protein science and provide new insight into the molecular processes that are at the origin of protein aggregation diseases. Support will enable the exchange of junior (graduate student and postdoctoral researchers) between institutions, furthering the education and professional development of those young scientists. <br/><br/>The research conducted as part of this award will explore the role of LLPS in the aggregation of the IDPs tau and alpha-synuclein. The research will employ an innovative combination of computational and experimental techniques, namely electron paramagnetic resonance (EPR), Overhauser Dynamics Nuclear Polarization (ODNP), neutron scattering (NS) and multiscale computer simulations. Simulations will employ a unique combination of molecular dynamics and field theory approaches to gain novel insights into protein conformations and hydration water dynamics, and to map phase behavior of the IDPs. The consortium is composed of three French and two American partners that form a multidisciplinary team of structural biologists and biochemists, biophysicists, physicists, and computational chemists with computational and experimental expertise in protein sciences. The contributions of all five partners are essential to create the synergy necessary to tackle the challenging objectives. <br/><br/>Besides generating fundamental knowledge in protein science, this project will provide new insight into the molecular processes that are at the origin of protein aggregation diseases. This award will enable the exchange of junior (graduate student and postdoctoral researchers) between institutions, furthering the education and professional development of those young scientists. Collaborative activities will include physical exchanges of junior researchers from the US visiting the IBS in Grenoble and University of Bordeaux in France, and junior researchers from France visiting Boston University and UC Santa Barbara in the US. Visits will include active research activities, involvement in group meetings, and presentation of research seminars. <br/><br/>This collaborative US/France project is supported by the US National Science Foundation (NSF) and the French Agence Nationale de la Recherche (ANR), where NSF funds the US investigators and ANR funds the partners in France. The US investigators are jointly funded by the Physics of Living Systems program in the Directorate for Mathematical and Physical Sciences and the Molecular Biophysics program/Division of Molecular and Cellular Biosciences in the Directorate for Biological Sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/17/2024

06/17/2024

None

Grant

47.074

1

4900

4900

2423885

{'FirstName': 'Joan-Emma', 'LastName': 'Shea', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Joan-Emma Shea', 'EmailAddress': 'shea@chem.ucsb.edu', 'NSF_ID': '000096104', 'StartDate': '06/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'ZipCode': '931060001', 'PhoneNumber': '8058934188', 'StreetAddress': '3227 CHEADLE HALL', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_ORG': 'CA24', 'ORG_UEI_NUM': 'G9QBQDH39DF4', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF CALIFORNIA, SANTA BARBARA', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of California-Santa Barbara', 'CityName': 'SANTA BARBARA', 'StateCode': 'CA', 'ZipCode': '931060001', 'StreetAddress': '3227 CHEADLE HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '24', 'CONGRESS_DISTRICT_PERF': 'CA24'}

{'Code': '114400', 'Text': 'Molecular Biophysics'}

2024~145134

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423885.xml'}

I-Corps: Translation Potential of Smart Structural Systems for Seismic Resilience

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is focused on the enhanced safety, longevity, and resilience offered by an innovative infrastructure system. By mitigating the risks posed by natural and man-made disasters, the technology contributes to the overall sustainability and functionality of infrastructure networks. The project's phased approach to market adoption ensures strategic expansion across diverse sectors, including aerospace, defense, and healthcare. Moreover, the project facilitates cost-effective retrofitting solutions, minimizing disruptions to building occupants and industrial operations during construction. The successful implementation promises substantial tax dollar savings and broader societal benefits, underscoring the transformative potential of the proposed infrastructure solution. Overall, the project's broader impacts extend to fostering safer communities, reducing economic losses, and advancing the seismic structural resilience. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of a novel structural system that integrates shape memory alloys and steel dampers to enhance the resilience of civil infrastructure while also providing energy efficiency. The core technology focuses on the deliberate integration of structural dampers with engineered connection details into structures to minimize damage to primary structural members while also offering self-centering capabilities. The technology retrofits existing infrastructure assets and constructs new infrastructure assets in a smart and sustainable manner. With its inherent resilience against natural disasters such as earthquakes and energy efficiency, the developed structural system addresses modern infrastructure development while ensuring the longevity and functionality of critical infrastructure assets.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2423888

{'FirstName': 'Togay', 'LastName': 'Ozbakkaloglu', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Togay Ozbakkaloglu', 'EmailAddress': 'togay.oz@txstate.edu', 'NSF_ID': '000819794', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas State University - San Marcos', 'CityName': 'SAN MARCOS', 'ZipCode': '786664684', 'PhoneNumber': '5122452314', 'StreetAddress': '601 UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'TX15', 'ORG_UEI_NUM': 'HS5HWWK1AAU5', 'ORG_LGL_BUS_NAME': 'TEXAS STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas State University - San Marcos', 'CityName': 'SAN MARCOS', 'StateCode': 'TX', 'ZipCode': '786664684', 'StreetAddress': '601 UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'TX15'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423888.xml'}

I-Corps: Translation potential of self-neutralizing, air-breathing plasma propulsion

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is in the development of an air-breathing small engine, called a thruster, for very-low-earth satellite technology. Very-low-orbit satellite capabilities have benefits such as higher resolution for images, weight reduction, and lower cost for payloads. However, the current ion-engine technology requires a separate neutralizer to achieve thrust. The new technology uses an air-breathing plasma thruster that ionizes and neutralizes air particles and eliminates the need for a neutralizer. It utilizes air as a propellant, eliminating fuel tanks to reduce launch weight and costs while achieving zero carbon emissions and compact design, preventing space debris accumulation, and simplifying manufacturing. Government and private space entities may be interested in applications of this technology for rapid response launches, reconnaissance missions, and potentially spaceplane-based transportation.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The technology is based on the development of an air breathing plasma thruster that operates in very-low-earth orbits below 200 km. Very-low-earth orbit is known as a self-cleaning orbit due to fast natural orbit decay. This engine utilizes air as a propellant, eliminating fuel tanks to reduce launch weight and costs with zero carbon emissions, compact design, and simplified manufacturing. Development involved a fusion of plasma physics, space propulsion, and plasma chemistry modeling to enable accurate theoretical predictions and experimental validation. Unlike other air-breathing technologies, the self-neutralizing, air breathing plasma thruster integrates a scramjet-type inlet, actively generating air plasma without compression, thus eliminating the need for a bulky collimator. Key breakthroughs include the development of a plasma density-generating circular arc electron source, capable of operation across various pressure ranges, with the material inside exhibiting self-healing properties over time.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/30/2024

04/30/2024

None

Grant

47.084

1

4900

4900

2423904

{'FirstName': 'Michael', 'LastName': 'Keidar', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michael Keidar', 'EmailAddress': 'keidar@gwu.edu', 'NSF_ID': '000489179', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'ZipCode': '200520042', 'PhoneNumber': '2029940728', 'StreetAddress': '1918 F ST NW', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'ECR5E2LU5BL6', 'ORG_LGL_BUS_NAME': 'GEORGE WASHINGTON UNIVERSITY (THE)', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'George Washington University', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200520042', 'StreetAddress': '1918 F ST NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423904.xml'}

Innovations in Open Science (IOS) Planning Workshop: Advancing Open Science in Heliophysics and Space Weather Modeling--Challenges and Resolutions; College Park, MD; June 3-7, 2024

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Benjamin (Ben) E. Brown-Steiner', 'PO_EMAI': 'bebrowns@nsf.gov', 'PO_PHON': '7032922915'}

This award will provide support for a conference in response to the NSF 23-141 “Dear Colleague Letter: Innovations in Open Science (IOS) Planning Workshops.” The overall objective of this workshop is to provide a forum for the heliophysics and space weather modeling community to discuss open science practices, including the role of models and important instruments for research, the identification of critical infrastructure needs, and to ensure that heliophysics and space weather simulation codes, modeling frameworks, and simulation results follow FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. The workshop will take place at College Park, Maryland from June 3 – 7, 2024 in combination with the existing biannual Community Coordinated Modeling Center (CCMC) Community Workshop. The overall theme of the combined workshops will be open science. Approximately 300 participants will be in attendance. This funding will primarily provide travel and housing support for roughly 20 participants.<br/><br/>Four primary topics will be discussed at the conference: (1) open science infrastructure in modeling; (2) open use of simulation results; (3) open use of models; and (4) open model validation. A science committee will meet regularly prior to the workshop to organize subgroups for each of these topics, and subgroup leads will direct the discussions during the workshop. Three months after the conclusion of the workshop, a report and recommendation of infrastructure needs will be shared on the workshop website and disseminated to the community via email. The results of this workshop will broadly benefit the heliophysics and space weather research communities as well as space physics education, space weather operations, and outreach efforts. Open access to space weather models will allow the operational entities to select the best performing operational models with public trust and transparency. Open access to the model output and free visualization will involve more general public into the space physics field and inform them about some general knowledge.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/23/2024

04/23/2024

None

Grant

47.050

1

4900

4900

2423907

{'FirstName': 'Jia', 'LastName': 'Yue', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jia Yue', 'EmailAddress': 'jia.yue@nasa.gov', 'NSF_ID': '000522521', 'StartDate': '04/23/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Catholic University of America', 'CityName': 'WASHINGTON', 'ZipCode': '200640001', 'PhoneNumber': '2026355000', 'StreetAddress': '620 MICHIGAN AVE NE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'District of Columbia', 'StateCode': 'DC', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_ORG': 'DC00', 'ORG_UEI_NUM': 'C31ES3WEAVQ5', 'ORG_LGL_BUS_NAME': 'CATHOLIC UNIVERSITY OF AMERICA (THE)', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Catholic University of America', 'CityName': 'WASHINGTON', 'StateCode': 'DC', 'ZipCode': '200640001', 'StreetAddress': '620 MICHIGAN AVE NE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'District of Columbia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '00', 'CONGRESS_DISTRICT_PERF': 'DC00'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423907.xml'}

Doctoral Dissertation Research: The Role of Monuments in Community Building

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

In this doctoral dissertation research project the student together with other researchers, examine monument construction and use by early mobile pastoralist communities. Monument construction has long been associated with the rise of early civilizations and states. However, recent archaeological investigations have also identified the crucial role of monuments in processes of social integration among small, mobile populations who have traditionally been excluded from discourse surrounding monumentality. A detailed archaeological study of these important social dynamics, focused on the transition to early forms of mobile pastoralism, provides a new understanding of how monument construction and use reflected changing patterns of social organization, territoriality, and social integration among small scale, dispersed communities. This research will contribute importantly to comparative studies of monument use among early pastoralists. Regional early stone monuments have been significantly impacted by looting and are endangered due to mining and increasingly intensive agricultural practices. This research will provide a comprehensive investigation of such sites and an important contribution to cultural heritage efforts. Furthermore, it creates a valuable opportunity for training archaeology students in advanced field techniques, including archaeological geophysical and geochemical surveys.<br/><br/>The student and collaborators investigate how the construction and use of monuments by small, dispersed communities may reflect those changing patterns of social and political organization. Researchers have been conducting studies in the region for over a decade, working to create a better understanding of early pastoralism. Building on this previous research, investigators will employ a new, innovative multi-methods approach to monument study utilizing: (1) targeted near surface multi-method geophysical surveys (fluxgate gradiometry, soil magnetic susceptibility, and electrical conductivity), (2) soil chemistry analysis using portable XRF technology, (3) targeted stratigraphic excavation, (4) artifact and ecofact analysis, and (5) radiocarbon dating. These methods provide a comprehensive approach to understanding the construction and long-term use of these monuments, as well as how associated community activities may have changed over time. Researchers therefore contribute an important new case study and multi-method approach to the investigation and interpretation of monument use by small-scale, dispersed communities that underwent significant shifts in social organization, economic subsistence patterns, and wider community interaction during the transition to mobile pastoralism.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.075

1

4900

4900

2423916

[{'FirstName': 'Bryan', 'LastName': 'Hanks', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Bryan K Hanks', 'EmailAddress': 'bkh5@pitt.edu', 'NSF_ID': '000413893', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Emily', 'LastName': 'Eklund', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Emily Eklund', 'EmailAddress': 'eme48@pitt.edu', 'NSF_ID': '000996529', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

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

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

2024~31290

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423916.xml'}

Travel: Broader Engagement at 2024 SIAM Math of Data Science Conference

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The U.S. national cyberinfrastructure (CI) serves as a crucial investment in support of translational research and education leading to deployable, scalable, and sustainable systems enabling transformative science and engineering. An important aspect of developing the national CI is broadening participation by a wide range of science and engineering disciplines, institutions, and underrepresented groups. The Broader Engagement program at the Society of Industrial and Applied Mathematics (SIAM) 2024 Math of Data Science (MDS24) conference is designed to provide innovative tools for developing the national CI ecosystem by creating opportunities for students from underrepresented groups to develop their professional standing while catalyzing the development of an inclusive data science community.<br/><br/>The goal of Broader Engagement at the SIAM MDS24 conference is to increase the participation of students from underrepresented groups in data science by creating a welcoming experience in a mainstream professional society where the participants can learn and envision themselves with thriving data science careers. Building on successes of Broader Engagement programs at past Supercomputing and SIAM conferences and in response to SIAM’s request to expand BE to other conferences, the Broader Engagement program at MDS24 provides access to the conference program and opportunities for underrepresented students to present their research, as well as mentoring and career and professional development. Key innovations of the program include activities that expand and strengthen learning and increase the likelihood of student persistence while catalyzing broader community inclusion. The program will explore an intervention model for student engagement and retention developed by the Principal Investigator, using (1) academic/technical preparation, (2) psychosocial support, (3) career exploration, (4) professional development, and (5) leadership training, all interleaved through community building.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/19/2024

05/19/2024

None

Grant

47.070

1

4900

4900

2423942

{'FirstName': 'MaryAnn', 'LastName': 'Leung', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'MaryAnn Leung', 'EmailAddress': 'mleung@shinstitute.org', 'NSF_ID': '000669535', 'StartDate': '05/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Sustainable Horizons Institute', 'CityName': 'PALM DESERT', 'ZipCode': '922606763', 'PhoneNumber': '5154508190', 'StreetAddress': '72651 SPYGLASS LN', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '41', 'CONGRESS_DISTRICT_ORG': 'CA41', 'ORG_UEI_NUM': 'HFFKTQ3KDPC1', 'ORG_LGL_BUS_NAME': 'SUSTAINABLE HORIZONS INSTITUTE', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Sustainable Horizons Institute', 'CityName': 'Palm Desert', 'StateCode': 'CA', 'ZipCode': '922606763', 'StreetAddress': '72651 Spyglass Lane', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '41', 'CONGRESS_DISTRICT_PERF': 'CA41'}

{'Code': '736100', 'Text': 'EDUCATION AND WORKFORCE'}

2024~99832

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423942.xml'}

Collaborative Research: Bottom-up Construction of a Synthetic Neuron and Programmable Neuronal Network

NSF

10/01/2023

08/31/2024

{'Value': 'Standard Grant'}

{'Code': '08040000', 'Directorate': {'Abbreviation': 'BIO', 'LongName': 'Direct For Biological Sciences'}, 'Division': {'Abbreviation': 'EF', 'LongName': 'Emerging Frontiers'}}

{'SignBlockName': 'Charles Cunningham', 'PO_EMAI': 'chacunni@nsf.gov', 'PO_PHON': '7032922283'}

Building synthetic cells is an exciting area of synthetic biology with opportunities to unravel basic design and organizational principles of cellular life. Dr. Liu and his collaborative team have identified the neuron as a potentially tractable cell to construct from the ground (bottom) up. Neurons convert biochemical signals to electrical dynamics and back to biochemical signals in animals. This project aims to construct a synthetic neuron with a modular design and a programmable synthetic neuronal network capable of recapitulating basic functions of a natural neuronal system. The team's design approach is to take inspiration from what is already known in the make-up of natural neurons, divide them into essential building blocks and construct each building block through the incorporation of proteins and materials, and assemble the established building blocks into functional subunits capable of performing part of neuron or neuronal network functionality. To investigate public perceptions of bottom-up synthetic biology and societal implications of the synthetic neuron, the project will convene deliberative group discussions. The research team is dedicated to breaking new ground in building synthetic cells, co-training the next generation of interdisciplinary scientists, and fostering an informed and participative public.&lt;br/&gt;&lt;br/&gt;This research combines experimental and modeling approaches and will address three broad goals of 1) reconstituting action potential and synapses in a single synthetic neuron; 2) engineering a synthetic multi-neuron system with defined network organization; and 3) broadening public benefits and ensuring inclusion in responsible research and innovation on the potentially high-benefit and high-risk synthetic neuron project. Enabled by advances in synthetic biology along with microfluidics, micromanipulation and engineering designs, synthetic neurons will be constructed by incorporating native ion channels and/or engineered proteins with defined molecular composition in vesicles with defined geometry. The collective knowledge generated through this endeavor will advance neuroscience through the elucidation of the minimal components to achieve neuronal functions and how neuronal morphology governs neuronal functions. By developing a de novo mechanism of synaptic communication using engineered proteins and aided with modeling, important new insights will be gained into the design principles of neuronal communication.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/11/2024

03/11/2024

None

Grant

47.074

1

4900

4900

2423952

{'FirstName': 'Taekjip', 'LastName': 'Ha', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Taekjip Ha', 'EmailAddress': 'tjha@jhu.edu', 'NSF_ID': '000488247', 'StartDate': '03/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': "Children's Hospital Corporation", 'CityName': 'BOSTON', 'ZipCode': '021155724', 'PhoneNumber': '6179192729', 'StreetAddress': '300 LONGWOOD AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Massachusetts', 'StateCode': 'MA', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'MA07', 'ORG_UEI_NUM': 'Z1L9F1MM1RY3', 'ORG_LGL_BUS_NAME': "CHILDREN'S HOSPITAL CORPORATION, THE", 'ORG_PRNT_UEI_NUM': None}

{'Name': "Children''s Hospital Corporation", 'CityName': 'BOSTON', 'StateCode': 'MA', 'ZipCode': '021155724', 'StreetAddress': '300 LONGWOOD AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'MA07'}

{'Code': '106Y', 'Text': 'URoL-Understanding the Rules o'}

2019~319759

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423952.xml'}

Collaborative Research: Nonlinear Dynamics and Wave Propagation through Phononic Tunneling Junctions based on Classical and Quantum Mechanical Bistable Structures

NSF

01/01/2024

12/31/2024

{'Value': 'Standard Grant'}

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

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

This grant will support research that will contribute new knowledge related to nonlinear dynamics and wave propagation through classical and quantum mechanical bistable structures, which is critical for phononic quantum computing. Current state-of-the-art quantum computers complete complex computations at unprecedented speeds; however, they require very low operating temperatures, limiting their practical use. Further, the current lack of a well-established tunneling junction capable of processing phononic quantum information limits progress in phononic quantum computing. Bistable structures are a promising approach for the realization of a mechanical tunneling junction because, at the nanoscale, their energy barrier approaches the energy of a single phonon. This award supports fundamental research to provide the knowledge regarding the nonlinear dynamics of classical and quantum mechanical bistable structures needed for the development of these novel tunneling junctions. These tunneling junctions will be used for processing and computing of quantum information carried by single phonons and will dramatically advance the technology of room-temperature quantum computing. This capability will advance knowledge in dynamics, quantum physics, nanoscience, and nanofabrication. This research will benefit U.S. society due to the critical need for high performance computing in science, defense and industry. This multi-disciplinary research will broaden the participation of underrepresented groups in science and engineering and positively impact STEM education.&lt;br/&gt;&lt;br/&gt;The objective of this research is to investigate the fundamental nonlinear dynamics and wave transmission through mechanical bistable structures in classical and quantum regimes for their potential application as mechanical tunneling junctions. Such mechanical tunneling junctions will process quantum bits, which is critical to quantum computing platforms using phonons. The central hypothesis of this research is that a nanoscale bistable structure can transmit mechanical waves (phonons) with a high enough transmission efficiency to act as a quantum tunneling junction if the structure is driven by nonlinear and contactless conservative interactions. This hypothesis will be tested in both classical and quantum regimes by 1) characterizing the snap-though dynamics and wave transmission of macroscale bistable elements with contact interactions and nonlinear conservative (contactless) interactions, 2) evaluating the mechanical wave (phonon) transmission efficiency through a micro-scale structure theoretically and experimentally, and 3) demonstrating the quantum dynamics of phonon tunneling through mechanical tunneling junction.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/21/2024

03/21/2024

None

Grant

47.041

1

4900

4900

2423960

{'FirstName': 'Chengzhi', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chengzhi Shi', 'EmailAddress': 'czshi@umich.edu', 'NSF_ID': '000788582', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '7569', 'Text': 'Dynamics, Control and System D'}

2021~22368

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2423960.xml'}

Oscillatory Integrals and Falconer's Conjecture

NSF

03/01/2024

08/31/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Marian Bocea', 'PO_EMAI': 'mbocea@nsf.gov', 'PO_PHON': '7032922595'}

The project is on the restriction theory in Fourier analysis. This field is concerns functions with Fourier transform (frequencies) supported (non-zero at most) on some curved objects such as a sphere or a cone. Such functions appear naturally in several areas of science and mathematics: in the study of Schrödinger equations, wave equations and number theory. For instance, a solution to the linear wave equation can be represented as a function with Fourier transform supported on a cone. Investigating these functions allows one to understand how waves evolve in time. In number theory, one can count the number of integer solutions to some Diophantine equations (polynomial equations with integer coefficients) by estimating such functions. Namely, if the corresponding functions are concentrated, then one expects the Diophantine equation to have many integer solutions. And an upper bound on the number of solutions can be given in terms of how spread out the functions are. This project will be focused on how the curvature of the Fourier support prevents the functions from being concentrated.&lt;br/&gt;&lt;br/&gt;The work will be concentrated on oscillatory integrals and related to Falconer's conjecture. The latter is an unsolved question concerning the sets of Euclidean distances between points in compact d-dimensional spaces. The projects on oscillatory integrals concern the restriction conjecture, the Hormander operator, and decoupling questions. For the restriction conjecture, Stein's restriction conjecture will be studied in higher dimensions and in dimension three. For the Hörmander operator the Bochner-Riesz conjecture will be investigated by considering it as a Hörmander operator not satisfying Bourgain's "generic failure" condition. Work will be done on the dimension of radial projections with applications surrounding Falconer's conjecture.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/12/2024

03/12/2024

None

Grant

47.049

1

4900

4900

2424015

{'FirstName': 'Hong', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hong Wang', 'EmailAddress': 'hongwang@math.ucla.edu', 'NSF_ID': '000837296', 'StartDate': '03/12/2024', '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': '1281', 'Text': 'ANALYSIS PROGRAM'}

2021~72178

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424015.xml'}

CAREER: Oscillatory Integrals and the Geometry of Projections

NSF

04/15/2024

08/31/2028

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Jeremy Tyson', 'PO_EMAI': 'jtyson@nsf.gov', 'PO_PHON': '7032927210'}

This project involves research at the interface of Fourier analysis and geometric measure theory. Fourier analysis studies the relation between a function and its Fourier transform. The Fourier transform of a function, in rough terms, represents the function via a superposition of frequencies. Geometric measure theory studies the geometric properties of sets and measures under transformations. Fractal sets, or sets with highly irregular geometry, are of particular interest in this regard. Recently, the connection between Fourier analysis and geometric measure theory has led to substantial progress in both fields. This project explores the interaction between these two fields, along with possible applications to other fields such as dynamics and number theory. The project also supports workshops for graduate students and early-career mathematicians: these events will promote mathematical expertise within the indicated research areas, will contribute to the professional training of participants, and will foster new research collaborations.<br/><br/>The project combines work in restriction theory (within Fourier analysis) and the theory of projections (within geometric measure theory). One component of the planned research involves the study of the mass of a function, with Fourier transform supported on the sphere, on a fractal set. Another component investigates the dimensions of fractal sets under certain linear or nonlinear maps parametrized by curved manifolds. A final component concerns the Kakeya conjecture, which asks how large must a set be if it contains a unit line segment in every direction. These three components, while distinct, are highly interrelated, and progress in each area is anticipated to inform ongoing work in all of these areas.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/24/2024

04/24/2024

None

Grant

47.049

1

4900

4900

2424018

{'FirstName': 'Hong', 'LastName': 'Wang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hong Wang', 'EmailAddress': 'hongwang@math.ucla.edu', 'NSF_ID': '000837296', 'StartDate': '04/24/2024', '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': '128100', 'Text': 'ANALYSIS PROGRAM'}

2023~163054

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424018.xml'}

Conference: 43rd Conference of Texas Statisticians

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': 'Tapabrata Maiti', 'PO_EMAI': 'tmaiti@nsf.gov', 'PO_PHON': '7032925307'}

The 43rd Annual Conference of Texas Statisticians (COTS): AI, Machine Learning, and Other Related Statistical Techniques with Applications in Healthcare, scheduled for May 9-10, 2024, will be hosted at the Houston Methodist Research Institute (HMRI), situated at 6670 Bertner Ave, Houston, TX 77030, USA. Artificial intelligence (AI) and machine learning (ML) represent a transformative force across various industries, promising advancements in fields such as medical diagnosis, national security, and crime prevention. These technologies harness the power of data to generate models capable of learning, making decisions, and predicting outcomes. Over time, they refine and adapt, becoming more effective and versatile. However, the efficacy of AI and ML relies heavily on the principles and methodologies provided by statistical science. Statistical techniques underpin the construction of robust models in AI and ML, enabling the interpretation of their outputs. This synergy between AI, ML, and statistical science forms the backbone of cutting-edge advancements in data-driven decision-making. COTS, dedicated to AI, ML, and related statistical techniques serves as a crucial platform for statisticians to exchange insights and forge collaborative opportunities. Such gatherings drive innovation, pushing the boundaries of what is achievable with the integration of AI, ML, and statistical science.<br/><br/>COTS 2024 is dedicated to advancing the frontiers of AI and ML and related statistical techniques, particularly within healthcare. Experts will explore how AI can revolutionize treatment methodologies by harnessing patient-specific data, genetic profiles, and medical histories to tailor treatment plans with unprecedented precision, optimizing efficacy while minimizing adverse effects. COTS 2024 is committed to assembling a diverse array of leading experts, each bringing unique perspectives and expertise to the table. By fostering a robust scientific forum, the conference aims to facilitate rigorous discussions on the most recent research discoveries, spanning from fundamental research to practical applications aimed at enhancing human health and well-being. Moreover, COTS 2024 recognizes the importance of nurturing collaboration and mentorship within the scientific community. Through various networking opportunities and interactive sessions, the conference seeks to bridge the gap between junior and senior researchers, fostering an environment where knowledge exchange flourishes and innovative ideas take root and support underrepresented groups and minorities. In essence, COTS 2024 is not just a conference; it's a catalyst for transformative change, where cutting-edge research converges with real-world applications to shape the future of healthcare and beyond. Moreover, in collaboration with NSF, COTS 2024 is committed to uplifting underrepresented groups and minorities, ensuring that the benefits of progress are inclusive and accessible to all. NSF’s funding for COTS 2024 has facilitated the integration of diverse perspectives and expertise, driving forward the mission of COTS 2024 to enact meaningful change in healthcare and beyond, while prioritizing the empowerment of underrepresented groups and minorities.<br/>Conference website: https://learn.houstonmethodist.org/AI-2024#group-tabs-node-course-default1<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/05/2024

06/05/2024

None

Grant

47.049

1

4900

4900

2424045

{'FirstName': 'Sunil', 'LastName': 'Mathur', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sunil Mathur', 'EmailAddress': 'smathur2@houstonmethodist.org', 'NSF_ID': '000413647', 'StartDate': '06/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'The Methodist Hospital Research Institute', 'CityName': 'HOUSTON', 'ZipCode': '770302602', 'PhoneNumber': '7134417885', 'StreetAddress': '6670 BERTNER AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_ORG': 'TX09', 'ORG_UEI_NUM': 'XJUCJAYJWYV1', 'ORG_LGL_BUS_NAME': 'METHODIST HOSPITAL, THE', 'ORG_PRNT_UEI_NUM': 'XJUCJAYJWYV1'}

{'Name': 'The Methodist Hospital Research Institute', 'CityName': 'HOUSTON', 'StateCode': 'TX', 'ZipCode': '770302602', 'StreetAddress': '6670 BERTNER AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '09', 'CONGRESS_DISTRICT_PERF': 'TX09'}

{'Code': '126900', 'Text': 'STATISTICS'}

2024~21000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424045.xml'}

Collaborative Research: Time-Sharing Experiments for the Social Sciences (TESS): Proposal for Renewed Support, 2020-2023

NSF

01/01/2024

08/31/2025

{'Value': 'Continuing Grant'}

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

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

Time-sharing Experiments for the Social Sciences (TESS) provides a platform for social scientists to conduct survey experiments on probability-based sample of United States adults. TESS democratizes access to high-quality, original experimental data, thereby putting the power of population-based survey experiments in the hands of researchers from all backgrounds, types of academic institutions, and career stages. TESS capitalizes on economies of scale by pooling expenses from otherwise separate studies, and makes all its data publicly available, providing an unparalleled archive of social science experimental stimuli and data that can be used for replications, re-analyses, and meta-analyses.<br/><br/>TESS accepts proposals from researchers at any career stage across the social sciences. These proposals are peer-reviewed, and the best are selected to be fielded. TESS fields projects using the NORC AmeriSpeak panel, which is the highest-quality probability-based Internet panel available for surveying US adults. Because TESS performs a large number of studies on this panel, we achieve significant cost savings than what the studies would cost if each were funded separately. TESS uses the Open Science Framework to archive all data and make it publicly available, and we will also be working with the Roper Center’s iPoll database to make TESS data even more accessible to secondary users.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/27/2024

06/20/2024

None

Grant

47.075

1

4900

4900

2424057

{'FirstName': 'James', 'LastName': 'Druckman', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'James N Druckman', 'EmailAddress': 'jdruckma@UR.Rochester.edu', 'NSF_ID': '000110424', 'StartDate': '03/27/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '120Y00', 'Text': 'AIB-Acctble Institutions&Behav'}, {'Code': '128Y00', 'Text': 'Law & Science'}, {'Code': '132000', 'Text': 'Economics'}, {'Code': '132100', 'Text': 'Decision, Risk & Mgmt Sci'}, {'Code': '133100', 'Text': 'Sociology'}, {'Code': '133200', 'Text': 'Social Psychology'}, {'Code': '133300', 'Text': 'Methodology, Measuremt & Stats'}]

['2020~392672', '2021~859205', '2022~382333']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424057.xml'}

I-Corps: Translation Potential of Artificial Intelligence (AI)-Informed Custom Biomarkers from Genomic Dark Matter

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of technology for drug development that enables more precise and personalized medical care. The technology uses computational algorithms including artificial intelligence (AI), along with insights gained from underutilized regions of the genome to provide expanded biomarker development targets. Failure rates in drug development are high, in part, due to the generic treatment of a broad population of patients. This broad generic treatment also results in non-responsiveness and adverse effects for individual patients/patient groups. Current biomarkers are primarily based on output from less than 3% of the human genome, with the remainder being considered dark matter - untapped genomic sequences that provide a vast resource of patient-specific information. This information may provide patient- and/or disease-specific biomarker signatures that classify patients into risk categories for specific therapies and predict patient response. In addition, this drug development platform is customizable based on patient information, and can be adapted for individual drug development companies, assay developers, and/or industries that are focused on meeting the growing demand for precision medicine for human or animal health. <br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a suite of computational tools including artificial intelligence (AI) and machine learning-based approaches that may provide a drug development platform that includes insight into segments of understudied genomic sequences. Biomarkers are typically developed from proteins involved in or associated with disease processes. These proteins are produced from a very small proportion of human genomic sequence. This means that a vast portion of the human genome, considered dark matter, remains untapped from a biomedical and biotechnological perspective. Using underutilized sequences identified by computational approaches, the goal is to increase the number of candidates entering the biomarker development pipeline, and significantly expand the biomarker candidate pool. This expansion may support precision medicine approaches through the identification and development patient-specific biomarkers and disease-specific therapies. In addition, the expansion may optimize the drug dose for suitable clinical responses, predict patience responses to drugs, and facilitate early detection of adverse effects. This technology may increase the efficiency and reduce drug development failure rates by reducing the time and costs of drug 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.

04/30/2024

04/30/2024

None

Grant

47.084

1

4900

4900

2424072

{'FirstName': 'Keriayn', 'LastName': 'Smith', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Keriayn Smith', 'EmailAddress': 'kns@email.unc.edu', 'NSF_ID': '000873871', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': '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': '802300', 'Text': 'I-Corps'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424072.xml'}

CAREER: Understanding the Fundamental Dynamics of Angular Momentum Carrying Acoustic Wave Propagation

NSF

01/01/2024

08/31/2027

{'Value': 'Standard Grant'}

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

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

This Faculty Early Career Development (CAREER) grant will enable the development of new knowledge related to the propagation of angular momentum carrying acoustic waves in anisotropic biomaterials, which is critical for their use in biomedical imaging, therapies, and treatment. Angular momentum carrying acoustic waves, such as acoustic vortex beam, are a special type of sound waves that have a rotating pressure field or energy flux. Previous studies indicated that these waves could have many potential biomedical applications, including medical imaging with better resolution than traditional ultrasound imaging and targeted ultrasonic removal of kidney stones and blood clots with higher efficacy than classical focused ultrasound therapies. However, these studies focused on waves propagating underwater and ignored the anisotropy and heterogeneity of biomaterials such as muscle fibers. Recent theoretical studies have indicated that acoustic angular momenta will couple when propagating in anisotropic or heterogeneity materials, altering the propagation path of the wave, and potentially impeding their reliable use in the suggested biomedical applications. The research supported by this CAREER award seeks to understand the fundamental coupling mechanism between different acoustic angular momenta, especially when propagating in anisotropic biomaterials, through modeling and experimentation. This understanding will be applied to demonstrate imaging and blood clot thrombolysis capabilities through anisotropic media. The results from this research will advance knowledge in acoustics, dynamics, biomechanics, as well as biomedical engineering, and can potentially lead to novel medical diagnostics and therapies. This award will positively impact STEM education through collaboration with existing programs at Georgia Tech aimed to engage students and high school science teachers from the Atlanta Public Schools and Atlanta International School, especially from currently underrepresented groups, and to promote their participation in research. This award will leverage the Georgia Tech InVenture Challenge to motivate undergraduate students and encourage them to compete in this interdisciplinary innovation competition using knowledge learned from this research.<br/> <br/>The objective of this research is to create and experimentally validate new models that accurately predict the propagation of angular momentum carrying acoustic waves in anisotropic media. Intrinstic and extrinsic acoustic waves become coupled when propagating in anisotropic materials, thus shifting the wave propagation trajectory. The central hypothesis of this research is that this coupling occurs through Coriolis effects resulting from rotations induced by the wave-medium interactions. The researchers will test this hypothesis in theoretical models and in experiments conducted underwater and in soft anisotropic media. They will probe the ability to translate this understanding to the suggested imaging and thrombolysis capabilities experimentally using anisotropic tissue mimicking gels.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/06/2024

05/06/2024

None

Grant

47.041

1

4900

4900

2424077

{'FirstName': 'Chengzhi', 'LastName': 'Shi', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Chengzhi Shi', 'EmailAddress': 'czshi@umich.edu', 'NSF_ID': '000788582', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '104500', 'Text': 'CAREER: FACULTY EARLY CAR DEV'}, {'Code': '756900', 'Text': 'Dynamics, Control and System D'}]

2022~550104

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424077.xml'}

Conference: Forum/Workshop on INFEWS Project Findings and Knowledge Transfer

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

Starting in FY 2016, NSF initiated a large program funding research and education on Innovations at the Nexus of Food, Energy, and Water Systems (INFEWS). A workshop scheduled to be held in Champaign, Illinois, July 25-26, 2024 will be a platform for academic researchers, government agencies, and industrial leaders involved in INFEWS-related projects to converge, share insights, and collectively reflect on the achievements, challenges, and future prospects of collaborative efforts. The workshop will focus on findings from a subset of INFEWS projects as well as knowledge transfer. The workshop is designed to be a comprehensive summary event to bring together the researchers involved in selected INFEWS projects to share findings of projects on energy, food, water, and the environment, and to identify further research directions in the context of circular bioeconomy. <br/><br/>The workshop will be broadly announced via multiple means including a conference website, emails, and professional networks. The total number of participants is expected to be 50 including researchers, graduate students, government agencies, and other interested parties. The workshop will involve a broad range of education and outreach opportunities from undergraduate to graduate studies, for under-represented individuals, industry, and the general public. The educational goal is to educate a new generation of scientists and engineers equipped with a solid foundation and broad perspectives for addressing issues related to INFEWS. By recycling nutrients and extracting hydrocarbons in waste streams, producing high value foods, capturing carbon and cleaning water by growing algae, the aim is to produce needed energy and food, and at the same time, reuse water and enhance the quality of the environment.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/08/2024

05/08/2024

None

Grant

47.041

1

4900

4900

2424143

{'FirstName': 'Yuanhui', 'LastName': 'Zhang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yuanhui Zhang', 'EmailAddress': 'yzhang1@illinois.edu', 'NSF_ID': '000314764', 'StartDate': '05/08/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '764300', 'Text': 'EnvS-Environmtl Sustainability'}

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424143.xml'}

Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump

NSF

02/01/2024

09/30/2024

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Cynthia Suchman', 'PO_EMAI': 'csuchman@nsf.gov', 'PO_PHON': '7032922092'}

This project focuses on a group of microscopic single-celled photosynthetic organisms in the ocean called diatoms. Diatoms float in the surface ocean as part of a group of organisms collectively called phytoplankton. There are thousands of different species of diatoms distributed across the global ocean. A famous oceanographer Henry Bigelow once said "All fish is diatoms" reflecting the importance of diatoms as the base of the food chain that supports the world's largest fisheries. Despite their small size, diatom photosynthesis produces 20% of the oxygen on earth each year. That's more than all of the tropical rainforests on land. The major objective of the research is to understand how the metabolic differences among diatom species affects the amount of diatom organic carbon that is carried, or exported, from the surface ocean to the deep ocean. As diatoms are photosynthesizers like green plants, their biological carbon comes from converting carbon dioxide dissolved in seawater from the atmosphere into organic forms. Diatoms also require a series of other nurtrients supplied by the ocean such as nitrogen and phosphorous and, uniquely for diatoms, the silicon used to construct their glass shells. This research will investigate how genetic and physiological differences among diatoms influence how each species react to changes in nutrient levels in the ocean and how those shifts affect the export of diatom carbon to the deep sea. The link between diatoms' physiological response and their carbon export comes about because shifts in physiology affect diatom attributes like how fast they sink and how tasty they are to predators. So if we can relate the physiological condition of different diatoms to the food-web pathways followed by different species, we can ultimately use knowledge of diatom physiological status and food web structure to predict how much diatom carbon gets to the deep sea. The research involves investigators with expertise in the physiology and genomics of diatoms and in the ocean's chemistry. The work will initially take place in the subarctic North Pacific in conjunction with the NASA Export Processes in the Ocean from RemoTe Sensing (EXPORTS) field program. The EXPORTS program is using a wide variety of methods to quantify the export and fate of photosynthetically fixed carbon in the upper ocean. The research supports the training of undergraduate students, graduate students and a postdoctoral scholar. The research will also serve as the basis for activities aimed at K-12 and junior high school students. <br/><br/>The research will broadly impact our understanding of the biology of the biological pump (the transport of photosynthetically fixed organic carbon to the deep sea) by forming a mechanistic basis for predicting the export of diatom carbon. It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, the genetic composition, rates of nutrient use and growth response of diatom communities will be evaluated and supported with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The subarctic N. Pacific ecosystem is characterized as high nutrient low chlorophyll (HNLC) due to low iron (Fe) levels that are primary controllers constraining phytoplankton utilization of other nutrients. It has been a paradigm in low Fe, HNLC systems that diatoms grow at elevated Si:C and Si:N ratios and should be efficiently exported as particles significantly enriched in Si relative to C. However, Fe limitation also alters diatoms species composition and the high Si demand imposed by low Fe can drive HNLC regions to Si limitation or Si/Fe co-limitation. Thus, the degree of Si and/or Fe stress in HNLC waters can all alter diatom taxonomic composition, the elemental composition of diatom cells, and the path cells follow through the food web ultimately altering diatom carbon export.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/01/2024

05/01/2024

None

Grant

47.050

1

4900

4900

2424207

{'FirstName': 'Kristen', 'LastName': 'Buck', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kristen N Buck', 'EmailAddress': 'kristen.buck@oregonstate.edu', 'NSF_ID': '000524399', 'StartDate': '05/01/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Oregon State University', 'CityName': 'CORVALLIS', 'ZipCode': '973318655', 'PhoneNumber': '5417374933', 'StreetAddress': '1500 SW JEFFERSON AVE', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Oregon', 'StateCode': 'OR', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'OR04', 'ORG_UEI_NUM': 'MZ4DYXE1SL98', 'ORG_LGL_BUS_NAME': 'OREGON STATE UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Oregon State University', 'CityName': 'CORVALLIS', 'StateCode': 'OR', 'ZipCode': '973318655', 'StreetAddress': '1500 SW JEFFERSON AVE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Oregon', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'OR04'}

{'Code': '167000', 'Text': 'Chemical Oceanography'}

2018~68485

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424207.xml'}

I-Corps: Translation potential of apple tree varieties that can be grown efficiently in hot and humid climates

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of new apple tree varieties that are able to withstand problems brought on by changing weather patterns while maintaining fruit quality. Currently, there is a need for apples trees that are tolerant to a changing environment such as increased temperature and disease. The solution is to genetically select apple trees for long growing seasons, hot summers, and tolerance to diseases that damage and kill trees. In addition, the new varieties may reduce labor costs and the cost of planting new orchards, which may lower production costs. The goal is to provide flavorful fruit for consumers while reducing potential orchard problems.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of apple tree varieties that have better tolerance to the effects of changing weather patterns. Changes in climate have brought on warmer, wetter, and windier weather patterns in most apple-growing areas, which reduce fruit quality, increase pesticide usage, and reduce tree survival. This apple tree technology also has addressed a primary need voiced by fruit growers – the shortage of trained, skilled laborers. To address these separate objectives, the team has used classical plant breeding techniques to combine traits that produce labor-saving, scion-dwarfed trees and high-quality fruit in hot weather. In addition, scion dwarfing may require fewer grower production inputs and potentially improve apple tree survival. These qualities have been demonstrated in a series of field trials that have piqued fruit grower and consumer interest.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/30/2024

04/30/2024

None

Grant

47.084

1

4900

4900

2424246

{'FirstName': 'Christopher', 'LastName': 'Walsh', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher S Walsh', 'EmailAddress': 'cswalsh@umd.edu', 'NSF_ID': '000995733', 'StartDate': '04/30/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424246.xml'}

I-Corps: Translation potential of using provenance-based threat detection for improving cybersecurity

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of technology for securing computer workstations and servers from attack. The approach based on the historical record that traces data from its original source to its current location (called data provenance analysis). Securing endpoint computers is a vital component of enterprise security. Current solutions adopt a strategy for detecting attacks by comparing endpoint activity to a set of detection rules that describe common attack behaviors. However, this is an error prone practice, leading to large volumes of false alerts while failing to detect sophisticated attacks. In addition, the maintenance requirements of investigating these false alerts pose a formidable challenge within smaller to medium-sized businesses (SMBs), which lack the necessary security resources and personnel. This impediment is even more visible within SMBs housing sensitive user data, where a security breach can have profound and enduring financial and societal consequences. This technology may be used to establish data provenance analysis as a more precise and practical means of detecting attacks on endpoints. In addition, this solution may save U.S. companies millions of dollars by thwarting attacks that could have otherwise resulted in the compromise of customer data.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of analysis of data provenance to ensure cyber security. Data provenance techniques incrementally parse individual endpoint events (e.g., process executions and file accesses) into a causal dependency graph that describes the history of system execution. The graphical representation of endpoint activity highlights the relationships between objects, making it easier to identify suspicious activities. A key finding of this research is a method of overcoming the inherent architectural limitations in the machine learning models used to analyze data provenance graphs. Leveraging this method, a model was trained that comprehensively captures the typical behavior of programs by associating them with their full historical context. Attacks are detected by comparing suspicious programs to the models’ expectations of each program’s behavior, which is informed by the programs’ provenance. This approach significantly reduces the occurrence of false alerts when compared to current endpoint security solutions, while also eliminating the need for frequent system tuning such as the adding and removing of detection rules.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/10/2024

04/10/2024

None

Grant

47.084

1

4900

4900

2424261

{'FirstName': 'Adam', 'LastName': 'Bates', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Adam Bates', 'EmailAddress': 'batesa@illinois.edu', 'NSF_ID': '000728774', 'StartDate': '04/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of Illinois at Urbana-Champaign', 'CityName': 'URBANA', 'StateCode': 'IL', 'ZipCode': '618013620', 'StreetAddress': '352 Henry Administration Building', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Illinois', 'CountryFlag': '1', 'CONGRESSDISTRICT': '13', 'CONGRESS_DISTRICT_PERF': 'IL13'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424261.xml'}

I-Corps: Translation Potential of Semiconductor Manufactured 3D Solid-state Micro-batteries

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of high energy and high-capacity solid-state micro-batteries. These batteries promise to usher in a new era of consumer electronics, characterized by devices that are not only smaller and longer lasting but also safer, addressing the needs and concerns of consumers while simultaneously reducing electronic waste. The durability of these batteries translates into fewer replacements, thereby reducing the environmental toll exacted by the manufacturing and disposal of electronic products, a critical step toward sustainability. This semiconductor-based approach represents a shift in the battery manufacturing industry and advances the next generation solid-state batteries to market.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. This solution is based on the development of thin film fabrication of solid-state batteries. The technology combines high-aspect-ratio structures to increase the total energy. The resulting batteries have energy densities higher than state-of-the-art lithium-ion batteries at orders of magnitude higher power, resulting in batteries with 15-30 times more energy, which can recharge on the order of seconds to minutes rather than hours. Furthermore, the shift in manufacturing allows for faster and cheaper production, without the need for element such as cobalt, powders of any kind, and/or external cell pressure.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.084

1

4900

4900

2424277

{'FirstName': 'Keith', 'LastName': 'Gregorczyk', 'PI_MID_INIT': 'E', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Keith E Gregorczyk', 'EmailAddress': 'kgregorc@umd.edu', 'NSF_ID': '000736265', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424277.xml'}

Conference: Fifth Annual NSF/MCB CAREER Awardee Conference

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

NSF CAREER awards support early career faculty with great potential to serve as leaders who integrate research and education synergistically through their academic programs. Building on the success of past Division of Molecular and Cellular Biosciences CAREER Awardee Conferences since 2019, the fifth annual meeting in 2024 will bring together a diverse cohort of awardees to enhance their research and teaching through exposure to new technologies and pedagogical approaches, and exchange of scientific questions and ideas. The diversity of research topics, model systems, and approaches represented among conference attendees is expected to foster community and lead to cross-disciplinary collaborations.<br/><br/>The goals of the conference are to facilitate knowledge sharing and catalyze collaborations among early-career faculty who span a broad range of research and educational expertise, and to provide input to the NSF on new research frontiers that will advance our understanding of complex biological systems at the fundamental molecular and cellular scales.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/17/2024

05/17/2024

None

Grant

47.074

1

4900

4900

2424299

{'FirstName': 'Jeffrey', 'LastName': 'Lewis', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jeffrey A Lewis', 'EmailAddress': 'lewisja@uark.edu', 'NSF_ID': '000689942', 'StartDate': '05/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Arkansas', 'CityName': 'FAYETTEVILLE', 'ZipCode': '727013124', 'PhoneNumber': '4795753845', 'StreetAddress': '1125 W MAPLE ST STE 316', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arkansas', 'StateCode': 'AR', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'AR03', 'ORG_UEI_NUM': 'MECEHTM8DB17', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARKANSAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Arkansas', 'CityName': 'FAYETTEVILLE', 'StateCode': 'AR', 'ZipCode': '727011201', 'StreetAddress': '850 W. Dickson St.', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arkansas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'AR03'}

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

2024~151929

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424299.xml'}

Comparative Study of Finite Element and Neural Network Discretizations for Partial Differential Equations

NSF

03/15/2024

07/31/2025

{'Value': 'Continuing Grant'}

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

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

This research connects two different fields, machine learning from data science and numerical partial differential equations from scientific and engineering computing, through the comparative study of the finite element method and finite neuron method. Finite element methods have undergone decades of study by mathematicians, scientists and engineers in many fields and there is a rich mathematical theory concerning them. They are widely used in scientific computing and modelling to generate accurate simulations of a wide variety of physical processes, most notably the deformation of materials and fluid mechanics. By contrast, deep neural networks are relatively new and have only been widely used in the last decade. In this short time, they have demonstrated remarkable empirical performance on a wide variety of machine learning tasks, most notably in computer vision and natural language processing. Despite this great empirical success, there is still a very limited mathematical understanding of why and how deep neural networks work so well. We hope to leverage the success of deep learning to improve numerical methods for partial differential equations and to leverage the theoretical understanding of the finite element method to better understand deep learning. The interdisciplinary nature of the research will also provide a good training experience for junior researchers. This project will support 1 graduate student each year of the three year project. <br/><br/>Piecewise polynomials represent one of the most important functional classes in approximation theory. In classical approximation theory and numerical methods for partial differential equations, these functional classes are often represented by linear functional spaces associated with a priori given grids, for example, by splines and finite element spaces. In deep learning, function classes are typically represented by a composition of a sequence of linear functions and coordinate-wise non-linearities. One important non-linearity is the rectified linear unit (ReLU) function and its powers (ReLUk). The resulting functional class, ReLUk-DNN, does not form a linear vector space but is rather parameterized non-linearly by a high-dimensional set of parameters. This function class can be used to solve partial differential equations and we call the resulting numerical algorithms the finite neuron method (FNM). Proposed research topics include: error estimates for the finite neuron method, universal construction of conforming finite elements for arbitrarily high order partial differential equations, an investigation into how and why the finite neuron method gives a much better asymptotic error estimate than the corresponding finite element method, and the development and analysis of efficient algorithms for using the finite neuron method.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/15/2024

03/15/2024

None

Grant

47.049

1

4900

4900

2424305

{'FirstName': 'Jonathan', 'LastName': 'Siegel', 'PI_MID_INIT': 'W', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jonathan W Siegel', 'EmailAddress': 'jwsiegel@tamu.edu', 'NSF_ID': '000816689', 'StartDate': '03/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKY S STE 30', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'JF6XLNB4CDJ5', 'ORG_LGL_BUS_NAME': 'TEXAS A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433368', 'StreetAddress': '3368 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

{'Code': '127100', 'Text': 'COMPUTATIONAL MATHEMATICS'}

2021~140889

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424305.xml'}

CNS: Small: Data on the Edge: Leveraging Edge Datacenters for Low-latency, Fault-tolerant, mobile, Geo-replicated Transactional Data Stores

NSF

10/01/2023

09/30/2024

{'Value': 'Standard Grant'}

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

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

Data-intensive computing is the driver of the continuing growth and success of global Internet services and cloud applications. The system infrastructure for data-intensive computing is built and run on top of compute resources housed in large, centralized data centers. These data centers are typically placed away from populous regions for economic reasons. This leads to a fundamental limit on the speed of communication between users and data centers. To overcome this limit, the project aims to extend data management systems to be edge-aware. Edge-awareness is the capability of utilizing resources that are closer to users to reduce the latency they experience by one to two orders of magnitude.<br/><br/>The project will investigate two closely related research challenges to enable edge-aware data management systems. The first research challenge focuses on one of the most important building blocks of distributed systems, namely the problem of agreement between different nodes (also called the consensus problem.) The project proposes a design of a new consensus protocol that, unlike existing consensus protocols, is edge-aware and thus enables preserving consensus and fault-tolerance while achieving the low-latency performance enabled by edge-awareness. The second research challenge is building edge data management systems that react efficiently to user mobility. The project proposes augmenting consensus protocols with a mobility component that enables handling user mobility efficiently while preserving consensus and fault-tolerance.<br/><br/>Large sectors of business and industry, in addition to the modern style of living, increasingly rely on data-intensive Internet and cloud applications. This project aims to advance the data and system infrastructure for these applications. The project will also provide the opportunity for undergraduate and graduate students to learn and work on fundamental data management systems research.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/07/2024

05/07/2024

None

Grant

47.070

1

4900

4900

2424335

{'FirstName': 'Faisal', 'LastName': 'Nawab', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Faisal Nawab', 'EmailAddress': 'nawabf@uci.edu', 'NSF_ID': '000763334', 'StartDate': '05/07/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of California-Irvine', 'CityName': 'IRVINE', 'StateCode': 'CA', 'ZipCode': '926970001', 'StreetAddress': '160 ALDRICH HALL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '47', 'CONGRESS_DISTRICT_PERF': 'CA47'}

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

2018~13733

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424335.xml'}

Conference: 2024 Cellular and Molecular Fungal Biology Gordon Research Seminar

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

The award will support early career scientists, including graduate students and post-doctoral researchers, to attend the 2024 Gordon Research Seminar (GRS) on Cellular and Molecular Fungal Biology (Holderness School, New Hampshire). This conference brings together mycologists from diverse backgrounds who bring unique perspectives to fungal biology through the broad scale (molecular to population) and scope (genetics, cell biology, biochemistry, molecular biology, systematics) of their studies. The research advances basic knowledge about fungal biology, ecology, and evolution, with implications for applications in biotechnology, agriculture, and medicine. The GRS is a forum for junior US and international scientists to present unpublished research, exchange ideas, benefit from career mentoring, and build their professional network. The GRS is organized and co-chaired by two peer-elected post-doctoral scholars, which serves as a significant career development experience.<br/><br/>The GRS and associated Gordon Research Conference (GRC) will advance research on fungi, integrating classical cell and molecular biology and modern data-rich approaches. The 2024 meeting will focus on how fungi sense, integrate, and manipulate their environment or hosts through biology. Investigators from around the world will have the opportunity to discuss pioneering ideas in the field and potentially launch new collaborations. The GRS, in particular, will facilitate the training and professional development of a diverse group of scientists in fungal biology.<br/><br/>This award is co-funded by the Genetic Mechanisms, Cellular Dynamics and Function, and Systems and Synthetic Biology programs in the Division of Molecular and Cellular Biosciences, and the Plant Biotic Interactions program in the Division of Integrative Organismal Systems of the Directorate for Biological Sciences.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/18/2024

04/18/2024

None

Grant

47.074

1

4900

4900

2424381

[{'FirstName': 'William', 'LastName': 'Beckerson', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'William C Beckerson', 'EmailAddress': 'w.c.beckerson@uu.nl', 'NSF_ID': '000800071', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Andrew', 'LastName': 'Swafford', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrew J Swafford', 'EmailAddress': 'aswafford@umass.edu', 'NSF_ID': '000733934', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Anna', 'LastName': 'Selmecki', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anna Selmecki', 'EmailAddress': 'selmecki@umn.edu', 'NSF_ID': '000752772', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

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

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

[{'Code': '047Y00', 'Text': 'Plant-Biotic Interactions'}, {'Code': '111200', 'Text': 'Genetic Mechanisms'}, {'Code': '111400', 'Text': 'Cellular Dynamics and Function'}, {'Code': '801100', 'Text': 'Systems and Synthetic Biology'}]

2024~16480

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424381.xml'}

Creating a Teen Science Cafe Movement

NSF

02/15/2024

08/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Alicia Santiago Gonzalez', 'PO_EMAI': 'asantiag@nsf.gov', 'PO_PHON': '7032924546'}

In the 1990s, Science Cafes emerged that brought together people from all walks of life with scientists in conversation over science, technology, engineering, and mathematics (STEM) topics. The cafes were popular as conversations were informal in casual settings and engendered deep discussions. In 2007, Science Education Solutions received a grant from NSF and began an experiment to see if the adult science café model could be adapted to appeal to high school teens. The program, Café Scientifique New Mexico, became very popular with teens in towns across northern New Mexico. The blend of conversing with scientists about interesting science topics in an out-of-school social setting and digging deeper with hands on activities proved successful. The teen model was refined through trial and error and formal evaluation over several years. Today it continues to provide teens with a new perspective on the nature of science and a picture of scientists as real people leading interesting lives. The Teen Science Café Network (TSCN) was formed in 2012 with NSF funding to allow other individuals and organizations to start their own versions of the Teen Science Café, adapted to their local institutions and demographics. Five founding member organizations around the United States formed the initial Network and each began creating their own Teen Science Café programs. Today the TSCN is a dynamic, growing community of practice spread across the country with the mission of connecting high school teenagers with STEM and STEM experts via the science café model. The network currently has approximately 133 member organizations in 46 states and Canada. This project will move the network to a much larger scale by creating organization and professional support structures to create a strategically growing social movement with distributed leadership, organizational infrastructure, and robust professional development for long-term stability with a goal to increase the number of member organizations to 500 over five years. Building on the literature on professional development for informal science educators and the literature on network capacity building, network sustainability, and scale, the project will also conduct research that will inform the field about successful model diffusion. This project is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understanding of deeper learning by participants.<br/><br/>This Innovations in Development project has five objectives. The first is to re-structure the Teen Science Café Network (TSCN) to a more distributed leadership model that will move the network to long-term sustainability. The PI team will identify five experienced individuals already leading strong café programs to become Guides for new sites. These Guides will provide training, support, and mentorship to new network members. Each Guide will have responsibility over a given year for mentoring two cohorts of nine sites, allowing the network to increase in size over the next five years. The second objective is to implement an interactive program of professional development for new network members. The training will involve approximately 15 hours of adult leader training focused on building skills around teen engagement and café management. The third objective will be to strategically engage all members in the network community of practice through opportunities to participate in and lead ongoing learning with their peers. Through webinars, Birds of a Feather groups and annual workshops and a Science Events Summit, café leaders will actively hone professional skills and broaden their personal network. Objective four is to broaden the involvement of organizations and communities not currently in the network through strategic recruitment of STEM professional societies, military youth programs, library networks, and youth-serving organizations, among other organizations. Finally, objective five is to implement a research agenda to contribute to the informal learning knowledge base. The research will focus on how the project’s approach to network growth and distributed leadership leads to effective scaling and sustainability.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

05/06/2024

None

Grant

47.076

1

4900

4900

2424451

[{'FirstName': 'Michelle', 'LastName': 'Hall', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Michelle K Hall', 'EmailAddress': 'hall@scieds.com', 'NSF_ID': '000399283', 'StartDate': '04/15/2024', 'EndDate': '05/06/2024', 'RoleCode': 'Former Principal Investigator'}, {'FirstName': 'Kathryn', 'LastName': 'Ahmann', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kathryn D Ahmann', 'EmailAddress': 'kahmann@stemnext.org', 'NSF_ID': '000934875', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Andria', 'LastName': 'Parrott', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andria Parrott', 'EmailAddress': 'aparrott@stemnext.org', 'NSF_ID': '0000A05WC', 'StartDate': '05/06/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}]

{'Name': 'STEM NEXT OPPORTUNITY FUND', 'CityName': 'SAN DIEGO', 'ZipCode': '921066071', 'PhoneNumber': '6195059127', 'StreetAddress': '2305 HISTORIC DECATUR RD STE 100', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_ORG': 'CA50', 'ORG_UEI_NUM': 'YQSMG6N8WLF7', 'ORG_LGL_BUS_NAME': 'STEM NEXT OPPORTUNITY FUND', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'STEM NEXT OPPORTUNITY FUND', 'CityName': 'SAN DIEGO', 'StateCode': 'CA', 'ZipCode': '921066071', 'StreetAddress': '2305 HISTORIC DECATUR RD', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '50', 'CONGRESS_DISTRICT_PERF': 'CA50'}

{'Code': '725900', 'Text': 'AISL'}

['2020~203270', '2022~540554']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424451.xml'}

CAREER: Bottlebrush polymers as gateways to multiresponsive structures

NSF

03/15/2024

05/31/2025

{'Value': 'Continuing Grant'}

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

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

Part 1: Non-technical summary<br/><br/>Living cells control what enters them and what leaves using carefully regulated transport across membrane pores made up of transmembrane proteins, which act as gatekeepers. In doing so, cells are able to assess what goes on in their environment and respond accordingly. Inspired by this function, the objective of this CAREER project is to develop unique strategies that enable the introduction of responsive pore-forming structures into polymeric vesicles. Specifically, the work aims to use tube-like macromolecules, known as core-shell bottlebrushes, to emulate the gating function of transmembrane proteins and enable a new class of materials that respond to mechanical activation, optical stimulation, changes in acidity, etc. These cell-like structures will help devise multiresponsive systems that may ultimately be capable of mimicking senses such as touch, sight, and smell. Building upon the results of this research endeavor, one can readily envision to use similar systems for applications such as targeted drug delivery, sensing, as well as active filtration devices for high-value applications. Concomitantly with these scholarly activities, community events will be used to promote STEM education to the general public and, particularly, underrepresented minorities. These activities will include initiatives that transcend the arts and sciences, encourage budding grade-school scientists to become makers, and provide graduate students with the tools to be scientific/technological global thinkers and leaders of tomorrow.<br/><br/><br/>Part 2: Technical summary<br/><br/>The underlying goal of this research is to comprehend the crucial phenomena directing the co-assembly of blocky linear and bottlebrush (BB) amphiphilic copolymers towards the fabrication of bioinspired multiresponsive polymersomes. To this end, an integrative and directed strategy that relies on three connected aims was devised: (i) structural evaluation of amphiphilic triblock copolymers (e.g. stiffness, interdigitation, side-chain length), (ii) understanding of the co-assembly of amphiphilic linear and BB block copolymers, and (iii) bestowing of multi-stimuli-responsiveness to polymersomes by incorporating pore-forming BB triblocks in membranes using stimuli such as pH, light, and mechanical force. The numerous parameters that can be controlled in BBs, often orthogonally, such as persistence length, grafting length and density, make them especially alluring for this project. This work aims to bring about hitherto underexplored aspects of the self-assembly of complex polymeric architectures and their co-assembly with conventional linear block copolymers. The broader results of this work may be implemented in the fabrication of intricate, compartmentalized polymersomes that emulate cellular processes, but also in systems such active filtration membranes and/or targeted delivery systems that rely on on-demand cargo release. The PI will also implement several activities to encourage diversity and promote STEM universally and enhance participation of underrepresented minorities. These activities will include maker conferences and hackathons, as well as blending arts and sciences by exploiting the inherent visual appeal of stimuli-responsive materials. Promotions of global views of sciences and inclusion of active learning in curricula are amongst the other integrated objectives of this CAREER project.<br/>.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/11/2024

03/11/2024

None

Grant

47.049

1

4900

4900

2424452

{'FirstName': 'Yoan', 'LastName': 'Simon', 'PI_MID_INIT': 'C', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Yoan C Simon', 'EmailAddress': 'yoan.simon@asu.edu', 'NSF_ID': '000726624', 'StartDate': '03/11/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2022~318694

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424452.xml'}

Conference: Midwest Plant Cell Dynamics

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Richard Cyr', 'PO_EMAI': 'rcyr@nsf.gov', 'PO_PHON': '7032928440'}

Uncovering fundamental mechanisms of organelle and cell dynamics is required for a comprehensive model of plant growth and development as well as for understanding how plants adapt to their environment. Such knowledge is critical for fundamental advances in basic plant cell biology and to promote translation of research knowledge into agricultural applications. The 2024 Plant Cell Dynamics conference, to be held June 4-7, 2024 at the University of Wisconsin, Madison campus will focus on providing opportunities for plant cell biologists to learn quantitative approaches to analyze cellular dynamics and function, including live cell imaging and computational tools. It will also provide a venue for students, postdoctoral scientists, and new investigators to interact with established leaders in the field of plant cell biology, thus providing positive impacts on career development for students and trainees at all levels. By encouraging and supporting attendance of trainees from underrepresented groups, the conference will broaden participation in this developing field, which employs techniques of quantitative, predictive, and theory-driven biology, and encourages multidisciplinary approaches. <br/>The conference will include a keynote speaker who will discuss current methodology that is appropriate for studying protein interactions. In addition, keynote speakers from biotechnology companies will discuss career opportunities in industry. In addition, there will be opportunities for oral and poster presentations by trainees.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/21/2024

05/21/2024

None

Grant

47.074

1

4900

4900

2424515

[{'FirstName': 'Simon', 'LastName': 'Gilroy', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Simon Gilroy', 'EmailAddress': 'Sgilroy@wisc.edu', 'NSF_ID': '000489493', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Daniel', 'LastName': 'Szymanski', 'PI_MID_INIT': 'B', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel B Szymanski', 'EmailAddress': 'szymandb@purdue.edu', 'NSF_ID': '000318381', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sebastian', 'LastName': 'Bednarek', 'PI_MID_INIT': 'Y', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sebastian Y Bednarek', 'EmailAddress': 'sybednar@wisc.edu', 'NSF_ID': '000336006', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Marisa', 'LastName': 'Otegui', 'PI_MID_INIT': 'S', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Marisa S Otegui', 'EmailAddress': 'otegui@wisc.edu', 'NSF_ID': '000493610', 'StartDate': '05/21/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

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

{'Name': 'Purdue University', 'CityName': 'WEST LAFAYETTE', 'StateCode': 'IN', 'ZipCode': '479072053', 'StreetAddress': '170 S. University Street', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Indiana', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'IN04'}

{'Code': '111400', 'Text': 'Cellular Dynamics and Function'}

2024~15370

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424515.xml'}

PRIMES: The Topology of Knots and Replication as a Vehicle for Student Research

NSF

08/01/2024

07/31/2026

{'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'}

This project will build a partnership between the American Institute of Mathematics (AIM) and California State University Long Beach (CSULB) that will invigorate mathematics research at CSULB by creating innovative student research activities and expanding a research culture for students and faculty. CSULB is an urban comprehensive university and Hispanic Serving Institution with nearly 60% of students identifying as members of underrepresented groups and 60% identifying as female. Approximately 51% of CSULB students receive Pell grants. This project will improve representation in mathematics by providing high-quality research opportunities for students and scaling these opportunities up in size to reach a broad group of CSULB students. These projects will empower students at all levels to answer previously unsolved mathematical questions and engage in innovative research. The PI will leverage a leave at AIM to design and implement research projects in the areas of knot theory and low-dimensional topology for students at CSULB, establish a faculty learning community to support research mentors, and help create a sustainable model for ongoing student research engagement and mentorship.<br/> <br/>The PI will pursue two research directions, chosen based on their accessibility for student research projects. The first direction is knot theory, the mathematical study of loops in 3D space. The Meridional Rank Conjecture states that the meridional rank and bridge index of a knot are equal. The conjecture has been verified for an array of infinite classes of knots, but the general case is open. The PI will adopt a novel perspective to this conjecture which makes use quotients of the knot group and new definitions of bridge number. The PI has assembled a group of top researchers who are committed to attending an AIM SQuaRE led by the PI to investigate the Meridional Rank Conjecture. The second direction is the topology of self-replication, which seeks to make questions like ``Which shapes can self-replicate?'' mathematically rigorous. Topological models of self-replication include manifolds that can be decomposed along a surface into two homeomorphic copies of the original (these are known as idempotents in a topological category) and n-manifolds that embed in n-dimensional real space and can be decomposed in to a collection of isometric shapes each of which is a scaled version of the original (these are known as rep-tiles). The PI will investigate novel classification theorems for rep-tiles and idempotents, strengthen existing classification theorems for these objects, and pursue applications of these theories to the field of 4-manifold topology.<br/><br/>This award reflects 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

2424734

{'FirstName': 'Ryan', 'LastName': 'Blair', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Ryan Blair', 'EmailAddress': 'ryan.blair@csulb.edu', 'NSF_ID': '000519475', 'StartDate': '06/14/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'California State University-Long Beach Foundation', 'CityName': 'LONG BEACH', 'ZipCode': '908154670', 'PhoneNumber': '5629858051', 'StreetAddress': '6300 E STATE UNIVERSITY DR STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '42', 'CONGRESS_DISTRICT_ORG': 'CA42', 'ORG_UEI_NUM': 'P2TDH1JCJD31', 'ORG_LGL_BUS_NAME': 'CALIFORNIA STATE UNIVERSITY LONG BEACH RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'California State University Long Beach', 'CityName': 'LONG BEACH', 'StateCode': 'CA', 'ZipCode': '908154670', 'StreetAddress': '1250 Bellflower Blvd', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '42', 'CONGRESS_DISTRICT_PERF': 'CA42'}

{'Code': '748700', 'Text': 'BROADENING PARTICIPATION'}

2024~400000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424734.xml'}

Conference: UCI/CSTI-UIDP WORKSHOP: The Future of Challenge-Driven Partnerships

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Anne Emig', 'PO_EMAI': 'aemig@nsf.gov', 'PO_PHON': '7032927241'}

This award funds U.S. participation in a workshop on "The Future of Challenge-Driven Partnerships," co-organized by the University-Industry Demonstration Partnership (UIDP) and the University of Cambridge Center on Science, Technology and Innovation Policy (CSTI). The workshop, scheduled for summer 2024, will bring together stakeholders from the government, academic, non-profit and industry sectors in North America and Europe to share insights and experiences in advancing collaborative research partnerships to address complex challenges. Challenges such as the COVID-19 pandemic or climate change and resilience require multi-sector, multi-national, multi-disciplinary research and development approached. The workshop will focus on how to accelerate and strengthen multi-stakeholder partnerships to develop breakthrough innovations that tackle urgent and complex challenges. <br/><br/>The workshop program will gather current trends, experimental approaches, and best practices to advance and accelerate the progress of grand challenge-driven innovation priorities, programs, and strategic partnerships. Among the topics to be taken up are contracting, intellectual property, research security, international collaboration, measuring success, partnership models, innovation ecosystem development, and talent development. The collective insights and recommendations from the assembled research thought leaders will be shared in a report to be issued after the meeting.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/26/2024

04/26/2024

None

Grant

47.079

1

4900

4900

2424788

{'FirstName': 'Anthony', 'LastName': 'Boccanfuso', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anthony M Boccanfuso', 'EmailAddress': 'tony@uidp.net', 'NSF_ID': '000753256', 'StartDate': '04/26/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University Industry Demonstration Partnership', 'CityName': 'COLUMBIA', 'ZipCode': '292012635', 'PhoneNumber': '8038073679', 'StreetAddress': '1705 RICHLAND ST', 'StreetAddress2': 'SUITE G', 'CountryName': 'United States', 'StateName': 'South Carolina', 'StateCode': 'SC', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_ORG': 'SC06', 'ORG_UEI_NUM': 'LABUVEY8F457', 'ORG_LGL_BUS_NAME': 'UNIVERSITY INDUSTRY DEMONSTRATION PARTNERSHIP, INC. (UIDP, INC)', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University Industry Demonstration Partnership, Inc.', 'CityName': 'COLUMBIA', 'StateCode': 'SC', 'ZipCode': '292012635', 'StreetAddress': '1705 RICHLAND ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'South Carolina', 'CountryFlag': '1', 'CONGRESSDISTRICT': '06', 'CONGRESS_DISTRICT_PERF': 'SC06'}

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

2024~49878

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424788.xml'}

Neural Networks for Stationary and Evolutionary Variational Problems

NSF

03/01/2024

07/31/2026

{'Value': 'Continuing Grant'}

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

{'SignBlockName': 'Stacey Levine', 'PO_EMAI': 'slevine@nsf.gov', 'PO_PHON': '7032922948'}

Artificial neural networks have become one of the dominant models in data science, used in applications from image classification to natural language processing. Their empirical success in these diverse fields has sparked interest in further applying such models in new directions, such as numerical analysis and scientific computing. This project is aimed at developing a deeper understanding of the capabilities and limitations of the role of neural network models used for numerical analysis and scientific computing, particularly when compared with more classic tools. This is essential in enabling neural network models to be widely deployed in sensitive fields across engineering domains. Graduate students will be trained as part of this project, modern tools from data science and deep learning will be incorporated into graduate curricula, and outreach activities are planned to attract undergraduates as well as underrepresented groups in STEM into this research area.<br/><br/>The focus of this work is on the use of neural network models in numerical algorithms used in models based on the calculus of variations, targeting two case studies. The first is related to functionals that exhibit the Lavrentiev gap phenomena, where an energy gap between the lowest energy achievable by shallow neural networks and more general functions is considered. The second is the Allen-Cahn equation, where the solution strategy of physics-inspired neural networks is analyzed. In the second problem, the adaptivity of neural networks to low-dimensional moving interfaces plays a key role when comparing to e.g. fixed mesh finite element methods. The theoretical results are intended to better understand two fundamental challenges. The first is whether the adaptivity of neural networks can be harnessed for the numerical approximation of spatially very inhomogeneous variational problems. The second seeks to understand the precise situations in which neural network solvers are not expected to outperform traditional solvers.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/12/2024

03/12/2024

None

Grant

47.049

1

4900

4900

2424801

{'FirstName': 'Stephan', 'LastName': 'Wojtowytsch', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Stephan Wojtowytsch', 'EmailAddress': 's.woj@pitt.edu', 'NSF_ID': '000868314', 'StartDate': '03/12/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '126600', 'Text': 'APPLIED MATHEMATICS'}

2023~12683

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424801.xml'}

Travel: USA-AFRICA WORKSHOP ON COMMUNICATION SYSTEMS AND MICROWAVE TECHNOLOGIES

NSF

06/01/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The USA-Africa Workshop on Communication Systems and Microwave Technologies will be held in Marrakech, Morocco, co-located with the 2024 IEEE International Microwave and Antenna Symposium (IMAS2024) during the week of October 20-25, 2024. The workshop and the conference will provide a platform for interdisciplinary exchange between microwave engineering and communications engineering, encouraging interactions and collaborations in research and education among participants. This NSF grant will provide travel support for USA participants to attend the workshop and present their research work. The outcome is expected to contribute to advancing microwave and communications technologies and benefit many emerging applications including remote sensing, environmental monitoring, telehealth, smart cities, etc. <br/><br/>This workshop will bring together research scientists, educators, and students to discuss the latest technological, experimental, computational, and theoretical advancements related to the processing, characterization, multiscale modeling, and applications of communication and microwave devices. The workshop aims to encourage interdisciplinary collaborations among researchers in microwave engineering and communications engineering, especially between senior researchers and junior researchers. The following three topical areas will be covered by the workshop: (1) radars for civilian applications, (2) advanced communication systems, (3) microwave applications for developing countries. The workshop will provide an opportunity for participants to network and explore international collaborations in microwave and communications technologies to benefit the research community and the global society.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/29/2024

05/29/2024

None

Grant

47.041

1

4900

4900

2424966

[{'FirstName': 'Homer', 'LastName': 'Mantooth', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Homer A Mantooth', 'EmailAddress': 'mantooth@uark.edu', 'NSF_ID': '000355582', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}, {'FirstName': 'Samir', 'LastName': 'El-Ghazaly', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Samir El-Ghazaly', 'EmailAddress': 'el-ghazaly@uark.edu', 'NSF_ID': '000513188', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}, {'FirstName': 'Sara', 'LastName': 'Ghayouraneh', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Sara Ghayouraneh', 'EmailAddress': 'sghayour@uark.edu', 'NSF_ID': '000851978', 'StartDate': '05/29/2024', 'EndDate': None, 'RoleCode': 'Co-Principal Investigator'}]

{'Name': 'University of Arkansas', 'CityName': 'FAYETTEVILLE', 'ZipCode': '727013124', 'PhoneNumber': '4795753845', 'StreetAddress': '1125 W MAPLE ST STE 316', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Arkansas', 'StateCode': 'AR', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_ORG': 'AR03', 'ORG_UEI_NUM': 'MECEHTM8DB17', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ARKANSAS', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Arkansas', 'CityName': 'FAYETTEVILLE', 'StateCode': 'AR', 'ZipCode': '727013124', 'StreetAddress': '1125 W MAPLE ST STE 316', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Arkansas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '03', 'CONGRESS_DISTRICT_PERF': 'AR03'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2424966.xml'}

Travel: NSF Student Travel Grant for 2024 Great Lakes Bioinformatics Conference (GLBIO)

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The Great Lakes Bioinformatics Conference (GLBIO) is organized by the GLBIO Consortium, which strives to enhance educational opportunities and research infrastructure throughout the Great Lakes region to make the region a world leader in bioinformatics (Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, Wisconsin, Quebec, and Ontario). An important goal of this annual meeting is to foster long-term, collaborative relationships among computational and life science researchers and educators from academia, government, and industry, spanning the Great Lakes region. Over half of the GLBIO attendees have been students, including undergraduate and high school students and over a third of the attendees have been women. This award will offer travel support for 20 student participants who attend US universities or are US citizens, with special focus on encouraging diversity among the supported students.<br/><br/>With the meeting being held at the University of Pittsburgh in Pittsburgh, Pennsylvania, a well populated region of the US, it will attract a large and diverse US-based (or US citizen) student population. This meeting is not only for experts in bioinformatics, but also for people who make substantial use of bioinformatics tools in their work or would like to expand their use of these tools for complex biological problems. Students funded by this award are expected to get the following out of attending this conference: exposure to state-of-the-art scientific and educational program, opportunity to present their work, networking with peers and other members of their community, both professionally and socially, and participation in recruiting roundtable events with universities to learn about their programs and open positions, or with industry partners to look for jobs.<br/><br/>This award reflects 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

47.070

1

4900

4900

2425162

{'FirstName': 'Daniel', 'LastName': 'DeBlasio', 'PI_MID_INIT': 'F', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Daniel F DeBlasio', 'EmailAddress': 'deblasio@cmu.edu', 'NSF_ID': '000808206', 'StartDate': '04/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~10000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425162.xml'}

RAPID: The evolutionary relationships between Amauroderma fungi and the monocarpic tree genus Tachigali

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

Tachigali is a genus of trees in the legume family distributed across the tropical forests of Central and South America. A unique feature of Tachigali is that many species are monocarpic: they flower only once in their lives and die shortly after reproducing. On Barro Colorado Island, Panama, Tachigali trees are also associated with the fungus Amauroderma. The fruiting bodies of this fungus only appear on the roots of Tachigali. They have never been found on other tree species. The specificity of this association suggests a parasitic or pathogenic relationship with Tachigali, but the mode and timing of infection remains unknown. Furthermore, while Amauroderma has been collected around other dead Tachigali species in South America, it is unclear whether this relationship is restricted to monocarpic Tachigali, or whether the tree and fungus have evolved together. This project takes advantage of a rare flowering event in Tachigali to collect and identify Amauroderma fungi and their associated hosts across multiple Amazonian and Central American sites. The project will provide new insights into the evolution and distribution of parasitic fungi that infect tropical forest trees, and training in mycology and bioinformatics for undergraduate students from the US and Latin America. <br/><br/>Tachigali and Amauroderma collections will be made in mapped forest plots in five sites in Panama, French Guiana, Colombia, and Peru. To determine Amauroderma host range, fruiting bodies will be collected at each site by visiting live and dead Tachigali trees, noting the tree’s reproductive status and whether it is monocarpic. Metagenomic sequencing of tissue from seeds, seedlings, nonreproductive and flowering Tachigali trees will be used determine when Amauroderma infection occurs. Carbon and nitrogen stable isotope analysis of fruiting bodies will be used to compare the nutritional mode of Amauroderma to that of saprotrophic fungi associated with dead Tachigali trunks and roots.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/28/2024

05/28/2024

None

Grant

47.074

1

4900

4900

2425242

{'FirstName': 'Astrid', 'LastName': 'Ferrer', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Astrid Ferrer', 'EmailAddress': 'aferrer@life.uiuc.edu', 'NSF_ID': '000563847', 'StartDate': '05/28/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~71169

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425242.xml'}

I-Corps: Translation potential of using machine learning to predict oxaliplatin chemotherapy benefit in early colon cancer

NSF

04/15/2024

03/31/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a machine learning model to predict the efficacy of one type of chemotherapy, oxaliplatin, for colon cancer patients. Colorectal cancer is the third most common cancer and ranks second in cancer death. In 2020, the estimated incidences of colorectal cancer were 1.9 million, and these are expected to increase 60% by 2030. Most colon cancer patients receive post-surgery chemotherapy (adjuvant therapy) to prevent cancer recurrence. Oxaliplatin is the most widely used chemotherapy agent in colorectal cancers to prevent recurrence, accounting for around 10% of all cancer patients. However, more than half of the patients do not benefit from oxaliplatin. Instead, oxaliplatin leads to disabling and lasting neuropathy that deteriorates the patient's quality of life and results in substantial financial burdens ($18,000 per patient per year) due to treatments for unnecessary side effects. Accurately predicting oxaliplatin benefits may enable oncologists to choose among Food and Drug Administration-approved regimens to maximize efficacy and minimize adverse effects by limiting oxaliplatin to patients who likely will benefit. This solution may improve the outcomes for colon cancer patients receiving post-surgery adjuvant therapy worldwide.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a machine learning model using the colon cancer transcriptome as an input feature to predict the efficacy of oxaliplatin-based chemotherapy regimens for the treatment of colon cancer. Patients with resected high-risk stage II/III colon cancer usually receive a curative adjuvant chemotherapy to prevent recurrence. However, the chemotherapy, oxaliplatin, may lead to acute and chronic disabling peripheral neurotoxicity. The machine learning model was developed to predict the cancer cells’ drug sensitivity based on patient’s individualized transcriptomic data. In an effort to de-escalate chemotherapy and avoid unnecessary side effects, clinical trials were conducted to examine whether a shorter duration can maintain efficacy and yet reduce oxaliplatin-induced neurotoxicity. The model, referred to as the colon oxaliplatin signature model, was shown to be predictive of oxaliplatin benefits in the colon cancer adjuvant setting in a double-blinded clinical trial of 1,065 colon cancer patients with both transcriptomic data and survival outcomes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/10/2024

04/10/2024

None

Grant

47.084

1

4900

4900

2425300

{'FirstName': 'Lujia', 'LastName': 'Chen', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Lujia Chen', 'EmailAddress': 'luc17@pitt.edu', 'NSF_ID': '000996422', 'StartDate': '04/10/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425300.xml'}

LEAPS-MPS: Fast and Efficient Novel Algorithms for MHD Flow Ensembles

NSF

04/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

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

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). The relative movement of an electrically conducting fluid (e.g., liquid metal coolant, saltwater, ionized gases, or plasmas) in a magnetic field is important as it has many applications in, e.g., nuclear reactors, artificial suns to produce carbon-free electricity, artificial hearts, magnetohydrodynamic (MHD) pumps, and geomagnetic dynamos. The accurate numerical simulation of the interaction between the velocity field of the fluid and the magnetic field is often computationally challenging, arduous, and prohibitively expensive even with the use of an advanced computing facility. This is because the two fields are non-linearly coupled. Moreover, many practical flows occur in a convection-dominated regime and their numerical simulations using standard algorithms produce numerical instability. The scenario is exacerbated by the presence of noise in the input data. The involvement of input uncertainties reduces the accuracy of the final solutions. Therefore, it is important to develop long-range high fidelity numerical algorithms for simulating such a complex problem. First, this project will investigate efficient ensemble schemes for simulating incompressible flow problems (without the presence of a magnetic field). Second, this project will focus on understanding the numerical instability and develop robust, efficient, and accurate algorithms for simulating complex flow problems where velocity and magnetic fields interact. This project will facilitate the teaching and training of students from underrepresented groups to pursue their careers in STEM fields. This will be carried out by supporting and supervising undergraduate and graduate students' research in numerical analysis and scientific computing.<br/><br/>The focus of this project is to understand the numerical instability in the uncertainty quantification (UQ) of Navier-Stokes (N-S) and MHD flow simulations. The objective of this project is to develop, analyze, and test robust, and efficient novel algorithms of N-S and MHD flow ensembles simulations. The first research goal is to develop and investigate an efficient Stabilized Penalty-projection Finite Element Method (SPP-FEM) for the UQ of fluid flow simulations. The SPP-FEM is presented in an elegant way that at each time-step, it permits a shared system matrix for each realization in conjunction with a stabilized penalty-projection step. It is conjectured that the scheme will be unconditionally stable with respect to the time-step size and would be much faster and more computationally efficient than standard numerical methods. The second research goal is to develop a Proper Orthogonal Decomposition (POD) based Reduced Order Modeling (ROM) stabilized Evolve-Filter-Relax Stochastic Collocation ROM (EFR-SCM-ROM) algorithm to deal with the numerical oscillations, which commonly arise in ROM of the UQ of MHD flow ensembles. The EFR-SCM-ROM algorithm approximates the randomness of the parameters using stochastic collocation methods (SCMs) and uses a high-order ROM spatial differential filter in conjunction with an evolve-then-filter-then-relax scheme to attenuate the numerical oscillations of standard ROMs. The new EFR-SCM-ROM framework yields accurate approximations, minimizes the sensitivity of noise in input data, and uses rigorous error estimates to determine practical parameter scaling. The SPP-FEM and EFR-SCM-ROM algorithms are innovative and considered novel approaches, which will enrich and revolutionize the computational methodology and platform for the numerical approximation of MHD flow ensembles. These studies will advance the knowledge base in the field of MHD flow ensembles and other fields of multi-physics problems, including Boussinesq systems.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/04/2024

04/04/2024

None

Grant

47.049

1

4900

4900

2425308

{'FirstName': 'Muhammad', 'LastName': 'Mohebujjaman', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Muhammad Mohebujjaman', 'EmailAddress': 'mmohebuj@uab.edu', 'NSF_ID': '000764360', 'StartDate': '04/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Alabama at Birmingham', 'CityName': 'BIRMINGHAM', 'ZipCode': '352940001', 'PhoneNumber': '2059345266', 'StreetAddress': '701 S 20TH STREET', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Alabama', 'StateCode': 'AL', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_ORG': 'AL07', 'ORG_UEI_NUM': 'YND4PLMC9AN7', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF ALABAMA AT BIRMINGHAM', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Alabama at Birmingham', 'CityName': 'BIRMINGHAM', 'StateCode': 'AL', 'ZipCode': '352940001', 'StreetAddress': '701 S 20TH STREET', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Alabama', 'CountryFlag': '1', 'CONGRESSDISTRICT': '07', 'CONGRESS_DISTRICT_PERF': 'AL07'}

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

2022~192171

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425308.xml'}

Collaborative Research: CIF: Small: Not All Eggs in One Basket: Authority Distribution for Resilience Against Compromised Nodes in Communication Networks

NSF

12/01/2023

01/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Phillip Regalia', 'PO_EMAI': 'pregalia@nsf.gov', 'PO_PHON': '7032922981'}

The ubiquity of networked communication systems in society raises ever-growing security and privacy concerns. In particular, such concerns exist for applications that collect private user information, as in health monitoring, e-commerce, and financial services, and applications associated with critical infrastructure as in transportation, smart grids, or process supervisory management systems. Indeed, for these applications, a single compromised/malicious agent or node of the network can provoke catastrophic events such as ransom payments to recover private data, large-scale electricity blackouts, interruptions of service, data breaches, financial losses, or fatalities. This project aims to explore how distributing the authority to launch critical tasks in the hands of multiple, rather than a single, nodes or users of the network can be an efficient means to avoid having a single point of failure and hence losing private data in its entirety in the case of a security breach. Furthermore, the proposed research studies how authority distribution is able to empower networks with the capability of coping with compromised devices or persons before they are identified as malicious and, most importantly, before they are able to do any harm.<br/><br/>The project investigates novel solutions beyond traditional threshold cryptography to address challenging roadblocks in authority distribution for data access and biometric authentication. Specifically, the project aims to overcome (i) privacy challenges with the use of biometrics, (ii) the need for costly resources as perfectly secure communication channels, (iii) a poor scaling behavior with the number of users, and (iv) the need for a central entity which is not compatible with distributed systems, to unravel fundamental trade-offs between privacy and storage requirements. The project comprises three interrelated thrusts. The first thrust studies the fundamental security and privacy guarantees that authority distribution can offer in the presence of, potentially unnoticed, compromised users or nodes. The second thrust investigates the construction of low-complexity coding schemes for authority distribution that operate at finite blocklengths, based on novel methods derived from error control coding and cryptography. The third thrust aims to enable a universal learning framework for authority distribution via deep learning that is independent of the data statistics.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/05/2024

04/05/2024

None

Grant

47.070

1

4900

4900

2425371

{'FirstName': 'Remi', 'LastName': 'Chou', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Remi A Chou', 'EmailAddress': 'remi.chou@uta.edu', 'NSF_ID': '000763335', 'StartDate': '04/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '779700', 'Text': 'Comm & Information Foundations'}

2022~240058

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425371.xml'}

Collaborative Research: HCC: Medium: Connecting Practitioners to Design: Methods and Tools for Live Participatory Design Fiction

NSF

10/01/2023

07/31/2025

{'Value': 'Standard Grant'}

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

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

This project will develop a novel approach to doing participatory design through live streaming media: Live Participatory Design Fiction (LPDF). Live media have the ability to stream video and afford interaction by participants. Previously, live media afforded audience participation through text-based chat. Now, new live media forms and democratizing systems have progressively enabled viewers to participate more directly and collectively. Participatory design incorporates stakeholders in the design process to provide subject-matter expertise and surface issues; however, prior approaches work with small, co-located groups with banal results. The work draws on playing out design fiction - imagining technology futures in service to designing systems well and equitably - as part of the design process. We can envision a future wherein live media affords participation not only for entertainment, but to shape the future of a specific design, a field, or an entire industry. Further, rendering a design fiction system into an interactive artifact holds promise to make these imagined systems more real for potential users. <br/><br/>The objective of this project is to establish new methodologies that broaden participation of diverse stakeholders in designing new technologies, enabling participatory design at scale while evaluating how best to use live data to iterate designs and uncover design principles for live media collaboration and active involvement. To better support building future systems for specialized, geographically distributed populations, innovative and realistic simulation methods and tools will be developed. LPDF will facilitate participatory design at distance and scale by asking participants to play out a role in a design fiction, in this case one focused on the future of information technology in emergency management. This project will iteratively develop LPDF methods and tools, building on an existing live media platform. In parallel, it will develop scenarios, grounded in practice, for design fictions to be developed within the emergency management domain to foster technology integration and influence systems being designed on other projects. The project's broader impacts will come through releasing and promoting open-source tools for doing LPDF that support designers and researchers, impacting emergency management practice through system designs, releasing reusable scenarios based on practice, and developing educational resources for doing LPDF in conference courses and college classes.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/02/2024

04/02/2024

None

Grant

47.070

1

4900

4900

2425383

{'FirstName': 'Nicolas', 'LastName': 'LaLone', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Nicolas J LaLone', 'EmailAddress': 'njligm@rit.edu', 'NSF_ID': '000814362', 'StartDate': '04/02/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Rochester Institute of Tech', 'CityName': 'ROCHESTER', 'StateCode': 'NY', 'ZipCode': '146235603', 'StreetAddress': '1 LOMB MEMORIAL DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_PERF': 'NY25'}

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

2021~145704

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425383.xml'}

Conference: ART@SC24: Artificial intelligence, Research computing and Training SC24 pre-conference workshop

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Juan Li', 'PO_EMAI': 'jjli@nsf.gov', 'PO_PHON': '7032922625'}

Artificial Intelligence (AI), Research Computing and Training (ART@SC24) is a workshop for advanced cyberinfrastructure (CI) professionals who support research computing on their campuses and conduct outreach in rural K-20 education environments. The workshop explores the benefits and risks associated with AI in academia, and share strategies to protect data privacy, security, and sovereignty. <br/><br/>ART@SC24 will convene in Atlanta, Georgia November 15-16, ahead of the Supercomputing Conference, SC24, November 17-22. This will be the sixth in a series of SC co-located workshops or events that STEM-Trek Nonprofit has hosted since 2015. This year, the workshop is teaming up with Texas A&M University High Performance Research Computing (HPRC) to explore the benefits and pitfalls of AI, and the complexities associated with AI/ML workflows. Travel grants and registration waivers will be available for a limited number. The SC24 General Chair has donated 18 full tech program registration waivers (with workshops and tutorials), a room for the meetings, and audiovisual support. Through HPRC, the grant will cover participant costs for U.S. delegates. Donations to STEM-Trek will support international delegate participation. This workshop series welcomes applications from NSF ACCESS and other Campus Champions from EPSCoR states and territories; CI professionals from rural-serving schools were especially encouraged to apply.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

04/15/2024

None

Grant

47.070

1

4900

4900

2425405

{'FirstName': 'Elizabeth', 'LastName': 'Leake', 'PI_MID_INIT': 'L', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Elizabeth L Leake', 'EmailAddress': 'eleake@tamu.edu', 'NSF_ID': '000776281', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKY S STE 30', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'JF6XLNB4CDJ5', 'ORG_LGL_BUS_NAME': 'TEXAS A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'SC24 Conference - Georgia World Congress Center', 'CityName': 'Atlanta', 'StateCode': 'GA', 'ZipCode': '303131591', 'StreetAddress': '285 Andrew Young International Blvd NW', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Georgia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'GA05'}

{'Code': '736100', 'Text': 'EDUCATION AND WORKFORCE'}

2024~49996

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425405.xml'}

Collaborative Research: Strategies to Improve the Recruitment and Retention of Black Male STEM Teachers

NSF

10/01/2023

06/30/2025

{'Value': 'Standard Grant'}

{'Code': '11040100', 'Directorate': {'Abbreviation': 'EDU', 'LongName': 'Directorate for STEM Education'}, 'Division': {'Abbreviation': 'DUE', 'LongName': 'Division Of Undergraduate Education'}}

{'SignBlockName': 'Patrice Waller', 'PO_EMAI': 'pwaller@nsf.gov', 'PO_PHON': '7032924944'}

The project serves the national need of recruiting and retaining highly effective Black male high school STEM teachers. This research project will investigate factors influencing the effectiveness and retention of Black male STEM teachers in high-need school districts. The study will examine the academic and career decision-making processes and experiences of Black male STEM teachers as well as the culturally responsive practices they use in their classrooms to motivate and engage ethnically and racially diverse students. Using a mixed methods approach, the first phase will examine how Black male teachers’ educational backgrounds, professional characteristics, dispositions, and experiences, and school environments lead to their academic and career persistence as STEM educators as well as what contributes to their effectiveness as teachers. The second phase will examine the influences that Black male STEM teachers have in the classroom with their students. The project outcomes will highlight the voices, knowledge, and experiences of both Black male STEM career academy teachers and ethnically and racially diverse students to provide critical insights and perspectives into how instructional strategies may engage diverse learners and promote their STEM college and career interests.<br/><br/>This project at Florida State University and The Ohio State University will focus on a national network of 211 Engineering and Information Technology career academies through collaboration with NAF (formerly known as the National Academy Foundation). The network involves 173 urban high schools, serving 46,719 students. A subset of Black male teachers and students from these academies will serve as the research subjects. Project goals include uncovering the pedagogical practices of Black male STEM teachers and their impact and effectiveness with ethnically and racially diverse STEM learners’ achievement, engagement, interests, learning, and persistence in STEM. The project will be informed by culturally responsive pedagogies and ethnic matching frameworks. Using a mixed methods approach, the project will investigate seven research questions: factors that contributed to Black males’ decision to pursue a career in teaching STEM; practices for improving the recruitment of the next generation of Black male teachers; challenges and barriers that Black male STEM teachers face in the school/classroom; culturally responsive pedagogical practices used by Black male STEM teachers to effectively engage ethnically and racially diverse students; perceptions of Black male students of their Black male STEM teachers; experiences, interactions, connections, and opportunities that have the most positive influence on ethnically and racially diverse students’ academic engagement and experiences in the STEM classroom; and effectiveness of Black male STEM teachers in high-need school districts associated with improving the student learning of ethnically and racially diverse students. Findings will be published in peer-reviewed journals, policy briefs, research zines, and infographics to participating schools as well as interactive webinars. This Track 4: Noyce Research project is supported through the Robert Noyce Teacher Scholarship Program (Noyce). The Noyce program supports talented STEM undergraduate majors and professionals to become effective K-12 STEM teachers and experienced, exemplary K-12 teachers to become STEM master teachers in high-need school districts. It also supports research on the effectiveness and retention of K-12 STEM teachers in high- need school districts.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/04/2024

06/04/2024

None

Grant

47.076

1

4900

4900

2425428

{'FirstName': 'Erik', 'LastName': 'Hines', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Erik M Hines', 'EmailAddress': 'ehines5@gmu.edu', 'NSF_ID': '000726811', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

{'Code': '179500', 'Text': 'Robert Noyce Scholarship Pgm'}

2022~393695

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425428.xml'}

Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Justin Lawrence', 'PO_EMAI': 'jlawrenc@nsf.gov', 'PO_PHON': '7032922425'}

The largest wildfires in Texas history recently burned more than 1.1 million acres (4,450 square kilometers), and have devastated livestock, crops, wildlife, homes, and ranching infrastructure across the Texas Panhandle. The effects of wildfire on sediment transport are well studied, and indicate that the absence of vegetation and hydrophobic characteristics of burned soils create conditions that intensify overland flow during subsequent rain events and can mobilize large volumes of fine sediment and initiate debris flows. However, much of this understanding of post-fire hydrologic and geomorphic processes is derived from steep (&gt;30 degrees) and forested landscapes. Post-fire processes in the lower-slope (&lt;1–10 degrees) grassland and shrubland landscapes of the Texas Panhandle are unknown. This project will contribute important data for management of federally classified critical habitat that hosts an endangered fish species, the peppered chub. The project supports undergraduate research at three Hispanic Serving Institutions across Texas.&lt;br/&gt;&lt;br/&gt;This study is crucial for understanding the magnitude and timing of post-fire sediment transport in shrublands. A major contribution of this work will be the collection of the first post-fire sediment transport measurements in low-sloping environments like the Texas Panhandle. Measurements of sediment grain size and regolith thickness will inform the degree to which sediment transport rates are limited by stress exerted by overland flow or sediment availability. This project will also constrain the importance of vegetation as an intermittent fire-mediated storage site in low-sloping environments. Finally, measurements of suspended sediment in the Canadian River and Lake Meredith will constrain the transport timescales for fine sediment from hillslopes and tributaries to reach the sediment sink of Lake Meredith.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/21/2024

03/21/2024

None

Grant

47.050

1

4900

4900

2425429

{'FirstName': 'Brandee', 'LastName': 'Carlson', 'PI_MID_INIT': 'N', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Brandee N Carlson', 'EmailAddress': 'bncarlson@uh.edu', 'NSF_ID': '000810102', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

[{'Code': '7222', 'Text': 'XC-Crosscutting Activities Pro'}, {'Code': '7458', 'Text': 'Geomorphology & Land-use Dynam'}]

2024~17575

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425429.xml'}

Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Justin Lawrence', 'PO_EMAI': 'jlawrenc@nsf.gov', 'PO_PHON': '7032922425'}

The largest wildfires in Texas history recently burned more than 1.1 million acres (4,450 square kilometers), and have devastated livestock, crops, wildlife, homes, and ranching infrastructure across the Texas Panhandle. The effects of wildfire on sediment transport are well studied, and indicate that the absence of vegetation and hydrophobic characteristics of burned soils create conditions that intensify overland flow during subsequent rain events and can mobilize large volumes of fine sediment and initiate debris flows. However, much of this understanding of post-fire hydrologic and geomorphic processes is derived from steep (&gt;30 degrees) and forested landscapes. Post-fire processes in the lower-slope (&lt;1–10 degrees) grassland and shrubland landscapes of the Texas Panhandle are unknown. This project will contribute important data for management of federally classified critical habitat that hosts an endangered fish species, the peppered chub. The project supports undergraduate research at three Hispanic Serving Institutions across Texas.&lt;br/&gt;&lt;br/&gt;This study is crucial for understanding the magnitude and timing of post-fire sediment transport in shrublands. A major contribution of this work will be the collection of the first post-fire sediment transport measurements in low-sloping environments like the Texas Panhandle. Measurements of sediment grain size and regolith thickness will inform the degree to which sediment transport rates are limited by stress exerted by overland flow or sediment availability. This project will also constrain the importance of vegetation as an intermittent fire-mediated storage site in low-sloping environments. Finally, measurements of suspended sediment in the Canadian River and Lake Meredith will constrain the transport timescales for fine sediment from hillslopes and tributaries to reach the sediment sink of Lake Meredith.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/21/2024

03/21/2024

None

Grant

47.050

1

4900

4900

2425430

{'FirstName': 'Andrew', 'LastName': 'Moodie', 'PI_MID_INIT': 'J', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Andrew J Moodie', 'EmailAddress': 'amoodie@tamu.edu', 'NSF_ID': '000810274', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKY S STE 30', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'JF6XLNB4CDJ5', 'ORG_LGL_BUS_NAME': 'TEXAS A & M UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Texas A&M University', 'CityName': 'COLLEGE STATION', 'StateCode': 'TX', 'ZipCode': '778433147', 'StreetAddress': '3147 TAMU', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_PERF': 'TX10'}

[{'Code': '7222', 'Text': 'XC-Crosscutting Activities Pro'}, {'Code': '7458', 'Text': 'Geomorphology & Land-use Dynam'}]

2024~13475

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425430.xml'}

Collaborative Research: RAPID: Investigating the magnitude and timing of post-fire sediment transport in the Texas Panhandle

NSF

04/01/2024

03/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Justin Lawrence', 'PO_EMAI': 'jlawrenc@nsf.gov', 'PO_PHON': '7032922425'}

The largest wildfires in Texas history recently burned more than 1.1 million acres (4,450 square kilometers), and have devastated livestock, crops, wildlife, homes, and ranching infrastructure across the Texas Panhandle. The effects of wildfire on sediment transport are well studied, and indicate that the absence of vegetation and hydrophobic characteristics of burned soils create conditions that intensify overland flow during subsequent rain events and can mobilize large volumes of fine sediment and initiate debris flows. However, much of this understanding of post-fire hydrologic and geomorphic processes is derived from steep (&gt;30 degrees) and forested landscapes. Post-fire processes in the lower-slope (&lt;1–10 degrees) grassland and shrubland landscapes of the Texas Panhandle are unknown. This project will contribute important data for management of federally classified critical habitat that hosts an endangered fish species, the peppered chub. The project supports undergraduate research at three Hispanic Serving Institutions across Texas.&lt;br/&gt;&lt;br/&gt;This study is crucial for understanding the magnitude and timing of post-fire sediment transport in shrublands. A major contribution of this work will be the collection of the first post-fire sediment transport measurements in low-sloping environments like the Texas Panhandle. Measurements of sediment grain size and regolith thickness will inform the degree to which sediment transport rates are limited by stress exerted by overland flow or sediment availability. This project will also constrain the importance of vegetation as an intermittent fire-mediated storage site in low-sloping environments. Finally, measurements of suspended sediment in the Canadian River and Lake Meredith will constrain the transport timescales for fine sediment from hillslopes and tributaries to reach the sediment sink of Lake Meredith.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/21/2024

03/21/2024

None

Grant

47.050

1

4900

4900

2425431

{'FirstName': 'Tian', 'LastName': 'Dong', 'PI_MID_INIT': 'Y', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tian Y Dong', 'EmailAddress': 'tian.dong@utrgv.edu', 'NSF_ID': '000808197', 'StartDate': '03/21/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'The University of Texas Rio Grande Valley', 'CityName': 'EDINBURG', 'ZipCode': '785392909', 'PhoneNumber': '9566652889', 'StreetAddress': '1201 W UNIVERSITY DR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_ORG': 'TX15', 'ORG_UEI_NUM': 'L3ATVUT2KNK7', 'ORG_LGL_BUS_NAME': 'THE UNIVERSITY OF TEXAS RIO GRANDE VALLEY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'The University of Texas Rio Grande Valley', 'CityName': 'EDINBURG', 'StateCode': 'TX', 'ZipCode': '785392909', 'StreetAddress': '1201 W UNIVERSITY DR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Texas', 'CountryFlag': '1', 'CONGRESSDISTRICT': '15', 'CONGRESS_DISTRICT_PERF': 'TX15'}

[{'Code': '7222', 'Text': 'XC-Crosscutting Activities Pro'}, {'Code': '7458', 'Text': 'Geomorphology & Land-use Dynam'}]

2024~16742

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425431.xml'}

I-Corps: Translation Potential of Small-Size, Low-power, Electrostatic Actuator Driver Circuits

NSF

05/15/2024

04/30/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of an integrated electrical component or drive circuit for small-scale piezoelectric actuators that enables movement and is used in tactile sensory feedback applications. Currently, due to their small-size, high energy density, and good scalability, electrostatic actuators are used in vibrotactile feedback for sense-of-touch human interfaces such as cellphones, tablets, gaming controllers, surgical devices, machine controllers, and other applications. However, the required high voltage driving signals pose significant challenges for electronic actuator drive systems, which limits the size, cost, and overall adoption of these technologies. This technology uses a new class of piezoelectric drive circuit that may enable next-generation micro-mechanical actuators. These actuators have commercial potential in applications spanning small-scale and soft robotics, haptics systems in consumer, medical, military, and automotive electronics, and other applications that require small or scalable mechanical actuation.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. the solution is based on the development of integrated switched capacitor drive circuits for electrostatic actuators. The technology uses a high-voltage, bidirectional boost direct current-direct current converter that can deliver and recover reactive power efficiently. In addition, the approach uses high energy density capacitors as energy storage components to step the voltage across the load with small voltage steps. This helps to supply the reactive energy needed to actuate the transducer with less real power loss and allows a large fraction of the reactive energy to be recovered when the actuator is discharged. Compared to existing methods, the switched capacitor driver may reduce power loss (increase battery life) by over an order of magnitude while reducing overall solution size and cost. The effectiveness of the switched capacitor driver has >5x higher energy density and >10x lower power consumption than current technologies.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/13/2024

05/13/2024

None

Grant

47.084

1

4900

4900

2425474

{'FirstName': 'Jason', 'LastName': 'Stauth', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Jason T Stauth', 'EmailAddress': 'jason.t.stauth@dartmouth.edu', 'NSF_ID': '000615619', 'StartDate': '05/13/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Dartmouth College', 'CityName': 'HANOVER', 'ZipCode': '037552170', 'PhoneNumber': '6036463007', 'StreetAddress': '7 LEBANON ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New Hampshire', 'StateCode': 'NH', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_ORG': 'NH02', 'ORG_UEI_NUM': 'EB8ASJBCFER9', 'ORG_LGL_BUS_NAME': 'TRUSTEES OF DARTMOUTH COLLEGE', 'ORG_PRNT_UEI_NUM': 'T4MWFG59C6R3'}

{'Name': 'Dartmouth College', 'CityName': 'Hanover', 'StateCode': 'NH', 'ZipCode': '037554404', 'StreetAddress': '15 Thayer Drive', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New Hampshire', 'CountryFlag': '1', 'CONGRESSDISTRICT': '02', 'CONGRESS_DISTRICT_PERF': 'NH02'}

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425474.xml'}

NSF/BIO-DFG: Biology and mechanism of an ancestral opsin function

NSF

07/01/2024

06/30/2027

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Elizabeth Sztul', 'PO_EMAI': 'esztul@nsf.gov', 'PO_PHON': '7032920000'}

This project will explore an unexpected function of a protein called opsin. Opsin is well known for its role in vision — it is commonly located in the retina, the light-sensing tissue in the eye, where it detects light and transmits a signal to the brain enabling animals to 'see'. However, the protein appears to have another, more ancient function that is independent of its light-sensing ability. This function is evident in cells in certain organs other than the retina. The research outlined in this project will probe this other function of opsin with the goal of understanding its biological importance and the molecular mechanism of its action. In so doing, the project addresses a fundamental problem in molecular cell biology. Trainees who work on this project will delve deeply into protein science and the cell biology of different sensory cells, and learn that proteins can moonlight, i.e., perform more than one cellular function.<br/><br/>The opsin protein in fruit flies (Drosophila melanogaster) is called NINAE and it is found in both photo- and mechano-receptor cells. In photoreceptors opsin binds retinal, a light-sensitive chromophore, enabling visual transduction, whereas in mechanoreceptors opsin is retinal-free. In flies without NINAE, both cell-types degenerate. Photoreceptor degeneration results from retinal toxicity, but mechanoreceptor degeneration is unexpected, implying a critical chromophore-independent function for opsin. Precedent for such a function comes from bovine rod opsin that, when reconstituted into lipid vesicles, scrambles phospholipids between opposing membrane leaflets, independently of retinal. Molecular dynamics (MD) simulations suggest a mechanism for opsin-mediated scrambling, but this remains to be tested experimentally. Also, the biological importance of opsin-mediated scrambling is unclear because elucidating it would necessitate genetic manipulations in animals. Pilot studies revealed that NINAE has phospholipid scramblase activity, laying the foundation for determining how scrambling occurs and how it impacts cell homeostasis and animal behavior. Firstly, NINAE will be extracted from fly eyes and reconstituted into liposomes to (i) characterize its scramblase activity. Secondly, protein residues along the lipid transport pathway predicted by MD will be mutagenized in the fly to test for effects on (ii) phospholipid scrambling in vitro, and (iii) the structure and function of NINAE-expressing photo- and mechanoreceptors and sensory behaviors, using electrophysiology, immunohistology, electron microscopy, and behavioral assays. In addition to establishing a novel function for Drosophila opsin, the completion of this project will provide a molecular understanding of how unconjugated opsins scramble phospholipids, how scrambling dynamics impact opsin-expressing sensory receptors and the viability of sensory cells, and how that ultimately affects sensory behaviors. Addressing these questions is important for a general understanding of opsins as phospholipid scrambling might be the ancestral primary function of these light sensor proteins.<br/><br/>This collaborative US/German project is supported by the US National Science Foundation (NSF) and the Deutsche Forschungsgemeinschaft (DFG) where NSF funds the US investigator and DFG funds the German partner.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

05/22/2024

05/22/2024

None

Grant

47.074

1

4900

4900

2425586

{'FirstName': 'Anant', 'LastName': 'Menon', 'PI_MID_INIT': 'K', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Anant K Menon', 'EmailAddress': 'akm2003@med.cornell.edu', 'NSF_ID': '000641129', 'StartDate': '05/22/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Joan and Sanford I. Weill Medical College of Cornell University', 'CityName': 'NEW YORK', 'ZipCode': '100226145', 'PhoneNumber': '6469628290', 'StreetAddress': '575 LEXINGTON AVE FL 9', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'New York', 'StateCode': 'NY', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_ORG': 'NY12', 'ORG_UEI_NUM': 'YNT8TCJH8FQ8', 'ORG_LGL_BUS_NAME': 'WEILL MEDICAL COLLEGE OF CORNELL UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'QV1RJ11H58C4'}

{'Name': 'Joan and Sanford I. Weill Medical College of Cornell University', 'CityName': 'NEW YORK', 'StateCode': 'NY', 'ZipCode': '100654805', 'StreetAddress': '1300 YORK AVENUE', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'New York', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'NY12'}

{'Code': '111400', 'Text': 'Cellular Dynamics and Function'}

2024~888757

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425586.xml'}

SaTC: CORE: Medium: Collaborative: Hardening Off-the-Shelf Software Against Side Channel Attacks

NSF

01/01/2024

09/30/2024

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

Side channel attacks study leakage due to timing variation in software execution, resulting from contention for hardware resources. By analyzing these variations, an attacker can obtain additional information and use it to deduce the victim’s secrets. As proven by Spectre and Meltdown, these side channel attacks pose a severe threat to the security of nearly all computing devices. Given that side channel protection often requires hardware redesign, something must be done in the interim to secure existing software on currently deployed hardware. This project studies transformations on existing software in an attempt to harden it against side channel attacks. &lt;br/&gt;&lt;br/&gt;The project consists of three main tasks. In Task 1, the project will attempt to reverse engineer various hardware structures in the processor so as to determine where attacks might occur. Next, in Task 2, the project will use the data from Task 1 to design transformations that will protect leaky software against side channels. Finally, Task 3 will develop methods to confirm that the outputs of Task 2 are indeed side channel free. While typical analysis of side channel leakage requires manual effort, Task 3 aims to develop automated tools for leakage detection, avoiding the need for manual analysis.&lt;br/&gt;&lt;br/&gt;Hardware is the ultimate root of trust, the correctness of which is the foundation to the security of all software. However, unlike software, hardware security has received much less attention, from both academic and industry. Until new and secure hardware becomes available, the proposed project aims to protect existing software deployed on leaky hardware. While the project cannot hope to eliminate all leakage, it does aim to harden existing software, making leakage harder to exploit. Tools and methodologies developed by this project will be used to design safer hardware, as well as help mitigate leakage in existing software. &lt;br/&gt;&lt;br/&gt;The project will retain all data, simulators, and code produced in a central GIT repository which will be publicly available at github.com.&lt;br/&gt;&lt;br/&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

03/19/2024

03/19/2024

None

Grant

47.070

1

4900

4900

2425665

{'FirstName': 'Christopher', 'LastName': 'Fletcher', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Christopher Fletcher', 'EmailAddress': 'cwfletch@illinois.edu', 'NSF_ID': '000743178', 'StartDate': '03/19/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'University of California-Berkeley', 'CityName': 'BERKELEY', 'StateCode': 'CA', 'ZipCode': '947101749', 'StreetAddress': '1608 4TH ST STE 201', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'California', 'CountryFlag': '1', 'CONGRESSDISTRICT': '12', 'CONGRESS_DISTRICT_PERF': 'CA12'}

{'Code': '8060', 'Text': 'Secure &Trustworthy Cyberspace'}

['2022~44502', '2023~78265']

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425665.xml'}

Collaborative Research: FMitF: Track I: A Formal Verification and Implementation Stack for Programmable Logic Controllers

NSF

10/01/2023

09/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Pavithra Prabhakar', 'PO_EMAI': 'pprabhak@nsf.gov', 'PO_PHON': '7032922585'}

Safety-critical industrial control systems, such as the electric power grid or water-treatment plants, provide crucial services in modern societies. Therefore, they must be safe at all times and on all levels, from their design to their operation. This is especially challenging since industrial control software is largely automated to make decisions on behalf of humans while being increasingly targeted by adversarial cyber-physical attacks. In order to act in advance before unsafe or undesired situations occur, models that describe the physics of the system and the effects of potential security attacks need to become a central element in designing industrial control systems. The project's novelties are mathematics- and logic-based software-development methods to make industrial control software aware of real-world effects and threats. The project's impacts are improved support for practitioners in developing trustworthy and resilient industrial control systems, with the aim of providing the crucial missing verification link between industrial control software development and execution.<br/><br/>The project's technical approach studies a provably correct development stack for industrial control systems with Programmable Logic Control (PLC) that is expected to provide a chain of fully verified links from high-level models all the way down to the running code, accompanied by synthesized correctness proofs. The correctness proofs entail strong safety guarantees on the actual industrial control system implementation through validation methods to analyze, at runtime, whether models and reality agree and to counteract when deviations occur. To this end, the team of researchers expects to advance techniques for verified runtime monitoring of the operating context and for verified bi-directional translation between code and models. The models combine differential equations with nondeterministic control and environment models to describe physical effects and security threats. Such predictive models, safety proofs, and validation methods are crucial elements of every trustworthy implementation stack so that proofs from models transfer to the running system. To address design safety at the scale of industrial control systems, the investigators bring together complementary expertise in foundations and practical verification for cyber-physical systems, with field expertise in embedded systems for industrial control systems safety and security.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/05/2024

04/05/2024

None

Grant

47.070

1

4900

4900

2425711

{'FirstName': 'Luis', 'LastName': 'Garcia', 'PI_MID_INIT': 'A', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Luis A Garcia', 'EmailAddress': 'la.garcia@utah.edu', 'NSF_ID': '000827362', 'StartDate': '04/05/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'University of Utah', 'CityName': 'SALT LAKE CITY', 'ZipCode': '841129049', 'PhoneNumber': '8015816903', 'StreetAddress': '201 PRESIDENTS CIR', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Utah', 'StateCode': 'UT', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'UT01', 'ORG_UEI_NUM': 'LL8GLEVH6MG3', 'ORG_LGL_BUS_NAME': 'UNIVERSITY OF UTAH', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'University of Utah', 'CityName': 'SALT LAKE CITY', 'StateCode': 'UT', 'ZipCode': '841129049', 'StreetAddress': '201 PRESIDENTS CIR', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Utah', 'CountryFlag': '1', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_PERF': 'UT01'}

{'Code': '094Y00', 'Text': 'FMitF: Formal Methods in the F'}

2022~194165

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425711.xml'}

Travel: NSF Student Travel Grant for the 2024 IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) is a premier annual forum for sharing original, novel ideas in mobile ad-hoc and smart systems. The proposed travel grant aims to provide financial support to 10-15 graduate or undergraduate students who will attend IEEE MASS 2024, which will be held in Seoul, South Korea between September 23-25, 2024.<br/><br/>Reasons to support this request include providing the students with the opportunity to:<br/>o Interact with top researchers within their research domain;<br/>o Learn, listen, and exchange ideas with other students working in their research domain to build future collaborations;<br/>o Learn what is considered state-of-the-art in design, implementation, analysis, evaluation, and deployment of computer systems and applications of mobile ad-hoc and smart systems.; and<br/>o Attend topic specific workshops held in the conference.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/18/2024

06/18/2024

None

Grant

47.070

1

4900

4900

2425733

{'FirstName': 'Eyuphan', 'LastName': 'Bulut', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Eyuphan Bulut', 'EmailAddress': 'ebulut@vcu.edu', 'NSF_ID': '000705170', 'StartDate': '06/18/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Virginia Commonwealth University', 'CityName': 'RICHMOND', 'ZipCode': '232849005', 'PhoneNumber': '8048286772', 'StreetAddress': '910 WEST FRANKLIN ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Virginia', 'StateCode': 'VA', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_ORG': 'VA04', 'ORG_UEI_NUM': 'MLQFL4JSSAA9', 'ORG_LGL_BUS_NAME': 'VIRGINIA COMMONWEALTH UNIVERSITY', 'ORG_PRNT_UEI_NUM': 'WXQLZ1PA6XP3'}

{'Name': 'Virginia Commonwealth University', 'CityName': 'RICHMOND', 'StateCode': 'VA', 'ZipCode': '232849005', 'StreetAddress': '910 WEST FRANKLIN ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Virginia', 'CountryFlag': '1', 'CONGRESSDISTRICT': '04', 'CONGRESS_DISTRICT_PERF': 'VA04'}

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

2024~20000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425733.xml'}

Terrestrial Organics since The Oligocene (TOTO): The Rains Down in Africa

NSF

10/01/2023

03/31/2025

{'Value': 'Standard Grant'}

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

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

Terrestrial Organics since The Oligocene (TOTO): The Rains Down in Africa<br/><br/>Today, nearly 100 million people depend on the lands in the Sahel region, which is highly sensitive to flooding, droughts, and wildfires, putting food and other resources at risk. Africa is also rich in human evolutionary history, including early human fossil sites, evidence for multiple dispersals out of Africa, and the earliest stone tool innovations. Despite the region’s importance for understanding climate change and human evolution, there is a lack of understanding of tropical Africa over long intervals. To that end, the investigators will generate new West African records of rain, vegetation, and fire over the last 25 million years to study changes in the Sahel ecosystem, which runs east-west across Africa south of the Sahara desert, and to quantify the effects of natural cycles in Earth’s orbit and long-term changes in global and regional conditions on ecosystem change and human evolution. The investigators will convene a new African Climate Conference to facilitate knowledge sharing, networking events, and laboratory tours at Lamont to directly combat the long history of the exclusion of African researchers in Western science by forming deep, lasting collaborations.<br/><br/>The Tropics comprise half of Earth’s surface, serve as the global hydrological pump, and contain the world’s largest potential source of methane, yet there is a dearth of data and understanding of tropical climate over the Cenozoic. Tropical Africa, in particular, has been historically under-studied, despite its importance for understanding human evolution, tropical hydroclimate, and terrestrial ecosystem responses to climate change. Projections of future climate scenarios require quantification of past climatic responses to orbital forcings and boundary conditions (i.e., regional albedo, ice volume, global temperature). The investigators will generate new long-term and high-resolution precipitation, vegetation, and fire reconstructions using biomarkers preserved in a marine sediment core that capture the last 25 million years of tropical West African climate. Statistical and time series analyses will evaluate the amplitudes, periodicities, means, and relationships between hydroclimate, ecosystem, and fire proxies through time to decipher the differences in the amplitude of variability in the study windows to characterize sensitivity in the context of various boundary conditions. This project will provide crucial environmental context for the evolution of our earliest ancestors and will inform models of future terrestrial responses to global warming in this highly sensitive region.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/09/2024

06/24/2024

None

Grant

47.050

1

4900

4900

2425776

{'FirstName': 'Kevin', 'LastName': 'Uno', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin T Uno', 'EmailAddress': 'kevinuno@fas.harvard.edu', 'NSF_ID': '000642427', 'StartDate': '04/09/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

{'Name': 'Harvard University', 'CityName': 'CAMBRIDGE', 'StateCode': 'MA', 'ZipCode': '021385369', 'StreetAddress': '1033 MASSACHUSETTS AVE 5TH FL', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Massachusetts', 'CountryFlag': '1', 'CONGRESSDISTRICT': '05', 'CONGRESS_DISTRICT_PERF': 'MA05'}

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

2022~422689

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425776.xml'}

Travel: Support for U.S. Students to Receive Training on Research Cyberinfrastructure at the 2024 Annual Modeling and Simulation Conference (ANNSIM)

NSF

05/01/2024

04/30/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Ashok Srinivasan', 'PO_EMAI': 'asriniva@nsf.gov', 'PO_PHON': '7032922122'}

This award supports up to 11 U.S.-based graduate students whose training on research cyberinfrastructure will substantially benefit by attending the Annual Modeling and Simulation conference (ANNSIM), which is the flagship conference of the Society for Modeling & Simulation (SCS). ANNSIM trains students by providing access to expertise through ten tracks. In particular, cyberinfrastructure training will be provided through presentations of simulation software tools in the Annual Simulation Symposium as well as model libraries, repositories, and data formats in the Digital Twins and Cyber-Physical Systems track. Since advanced networks are important for cyberinfrastructure, ANNSIM also provides a track on telecommunication systems, which covers topics such as software defined networking, edge computing, and green and energy efficient communications. Improving the use of existing datasets and software, while supporting advances in networking, software developments, standards and certifications, will contribute to cyberinfrastructure research. In addition to these ten tracks, ANNSIM includes several in-depth tutorials, taught by international experts in their field. The ten tracks and the tutorials ensure that attendees are well-aware of advances in information technology systems through advanced software, data, networked systems, and simulation environments. By providing access to leading experts, ANNSIM ensures that the next generation of scientists has the tools, motivations, and career aspirations to contribute to cyberinfrastructure. Every NSF-funded participant will be matched with a mentor chosen among the experienced scholars in attendance, which will help build a professional network. <br/><br/>The conference includes a direct learning component providing multiple tutorials, so students can develop skills in specific software packages or apply advanced techniques relevant to research cyberinfrastructure. This research can range from software for digital twins to datasets and libraries in model-driven system design. The conference gives particular attention to students (e.g., a PhD Colloquium with presentations followed by interactive poster sessions), which helps connect with leading researchers to identify better tools and/or additional datasets for experiments. One barrier in cyberinfrastructure training for students is not just a lack of existing tools or repositories, but a lack of awareness about these tools. Keynote speakers in simulation conferences have a reputation for informing and motivating students in contributing to the cyberinfrastructure, for instance by covering methods and software for system and application performance. Attending these talks will ensure that students have specific directions to apply the tools that they have learned onto open research problems in cyberinfrastructure.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

04/15/2024

04/15/2024

None

Grant

47.070

1

4900

4900

2425778

{'FirstName': 'Philippe', 'LastName': 'Giabbanelli', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Philippe Giabbanelli', 'EmailAddress': 'giabbapj@miamioh.edu', 'NSF_ID': '000745871', 'StartDate': '04/15/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Miami University', 'CityName': 'OXFORD', 'ZipCode': '450561846', 'PhoneNumber': '5135293600', 'StreetAddress': '501 E HIGH ST', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_ORG': 'OH08', 'ORG_UEI_NUM': 'T6J6AF3AM8M8', 'ORG_LGL_BUS_NAME': 'MIAMI UNIVERSITY', 'ORG_PRNT_UEI_NUM': None}

{'Name': 'Miami University', 'CityName': 'OXFORD', 'StateCode': 'OH', 'ZipCode': '450561846', 'StreetAddress': '501 E HIGH ST', 'CountryCode': 'US', 'CountryName': 'United States', 'StateName': 'Ohio', 'CountryFlag': '1', 'CONGRESSDISTRICT': '08', 'CONGRESS_DISTRICT_PERF': 'OH08'}

{'Code': '736100', 'Text': 'EDUCATION AND WORKFORCE'}

2024~12100

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425778.xml'}

I-Corps: Translation potential of using artificial intelligence (AI) to diagnose Alzheimer’s disease and other dementia-related disorders

NSF

06/15/2024

05/31/2025

{'Value': 'Standard Grant'}

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

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

The broader impact of this I-Corps project is the development of a technology for non-invasive assessment and monitoring of neurocognitive disorders, especially Alzheimer’s disease. The prevalence of Alzheimer’s is set to surge, potentially overwhelming current healthcare practices, due to increasing life expectancy and the static number of neurology practitioners. Current diagnoses are largely based on clinical interviews and questionnaires, which are subjective and can lead to recalls and interviewer biases. This technology is a non-invasive technique to screen patients with Alzheimer’s disease or other dementia-inducing neurocognitive disorders. These tools are designed to help physicians and clinicians rapidly diagnose patients. The technology may improve patient outcomes, enhance the quality of healthcare delivery, improve patient and family comfort, and reduce financial burdens.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of sensor-based artificial intelligence (AI) to analyze speech patterns that can be used to identify early signs of cognitive decline. Integrated into an easily accessible web platform, one model identifies speech pattern differences to assess dementia risk, providing a probability metric. The other model automates the AD8 Dementia Screening scoring, a screening test used to detect early cognitive changes, enhancing efficiency in diagnosis. Both models, utilizing deep learning and natural language processing methods. Preliminary validations affirm the models' accuracy, with full real-world testing underway to ensure reliability. By guiding physicians in the diagnosis and treatment planning process, this technology may facilitate timely and effective medical interventions to streamline dementia detection.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

06/04/2024

06/04/2024

None

Grant

47.084

1

4900

4900

2425827

{'FirstName': 'Hui', 'LastName': 'Yang', 'PI_MID_INIT': None, 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Hui Yang', 'EmailAddress': 'huiyang@psu.edu', 'NSF_ID': '000556106', 'StartDate': '06/04/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

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

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

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

2024~50000

{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=2024&All=true', 'xml': '2425827.xml'}

Conference: 11th International Meeting on Intercellular Communication in Plants

NSF

08/01/2024

07/31/2025

{'Value': 'Standard Grant'}

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

{'SignBlockName': 'Elizabeth Sztul', 'PO_EMAI': 'esztul@nsf.gov', 'PO_PHON': '7032920000'}

The 11th International Meeting on Intercellular Communication in Plants (dubbed PD2024) will bring together scientists from the global community who study plasmodesmata and intercellular trafficking. The meeting<br/>is scheduled to be held from September 17th to 20th, 2024 in St. Louis, Missouri at the Donald<br/>Danforth Plant Science Center. The funds from this award will be used to support the participation of early<br/>career scientists and persons not traditionally represented in science in the meeting.<br/><br/>This meeting will focus on recent developments related to intercellular communication in plants<br/>and plasmodesmata, with a focus on: 1)sharing of research discoveries and progress, and (2)foster<br/>collaboration and encourage interdisciplinary approaches that will allow rapid future progress<br/>in plasmodesmata biology. The meeting is organized into seven scientific sessions<br/>arranged around topics including Intercellular trafficking in Development, Structure and<br/>Membranes of Plasmodesmata, Biophysics and Modeling of Plasmodesmata and Intercellular<br/>trafficking in Plant-Microbe Interactions among others. The meeting will include Keynote<br/>presentations from experts in the field of intercellular trafficking and from plant mechanosensing<br/>and plant evolution and diversity. PD2024 will especially focus on early career scientists<br/>with presentations in each session, a special session of ‘lightning talks’ to allow many early<br/>career scientists to share the ‘main stage’, and poster sessions to disseminate their work more<br/>directly with community members.<br/><br/>The PD2024 conference is committed to broadening participation and will include<br/>persons from groups traditionally underrepresented in science. The organizing committee itself<br/>comprises a diversity of scientists including women, persons from minority groups and persons<br/>with disabilities. The provision of travel support from this award to members of<br/>underrepresented groups and early career scientists will allows them to participate in this conference. PD2024 will: (1) provide a safe and supportive venue where early career scientist can share their research and ideas, and (2) offer structured activities that foster network building. Funds from this award will also be<br/>used to provide accommodations to persons with disabilities, especially those from the<br/>deaf/hard-of-hearing 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.

05/17/2024

05/17/2024

None

Grant

47.074

1

4900

4900

2425832

{'FirstName': 'Tessa', 'LastName': 'Burch-Smith', 'PI_MID_INIT': 'M', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Tessa M Burch-Smith', 'EmailAddress': 'tburch-smith@danforthcenter.org', 'NSF_ID': '000618625', 'StartDate': '05/17/2024', 'EndDate': None, 'RoleCode': 'Principal Investigator'}

{'Name': 'Donald Danforth Plant Science Center', 'CityName': 'SAINT LOUIS', 'ZipCode': '631322918', 'PhoneNumber': '3145871285', 'StreetAddress': '975 N WARSON RD', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Missouri', 'StateCode': 'MO', 'CONGRESSDISTRICT': '01', 'CONGRESS_DISTRICT_ORG': 'MO01', 'ORG_UEI_NUM': 'MVRJYL6A9VF1', 'ORG_LGL_BUS_NAME': 'DONALD DANFORTH PLANT SCIENCE CENTER', 'ORG_PRNT_UEI_NUM': 'MVRJYL6A9VF1'}