This Project Grant award, totaling $420,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The primary awardee is the University of Florida (UF), who will develop a novel AI surrogate cyberinfrastructure for large-scale spatiotemporal simulations of coastal circulation. This work aims to create faster and more energy-efficient ocean current simulations to support early warning systems for vulnerable...
This Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate power grid simulations. The $199,996 award to the College of William & Mary aims to deliver three key innovations: (1) program-behavior analysis to identify optimal code regions for AI surrogate replacement; (2) semi-automatic AI surrogate...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $175,000.00 to the College of William and Mary will support research to develop sustainable and cost-effective artificial intelligence methods for software engineering automation using large language models for code (LLMC). The project aims to optimize LLMC training data and apply model compression techniques to improve efficiency without compromising...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
The College of William & Mary received a $491,051 project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The two-year award, made on September 1, 2021, will support cyberinfrastructure improvements to enable multi-disciplinary, data-intensive scientific research. Specifically, the College will enhance its networking infrastructure to accelerate discovery...
This $328,081 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) will support research at Columbia University to understand the drivers of the extreme marine heatwaves that occurred globally in 2023. The project will use observational data, climate models, and artificial intelligence to investigate the roles of surface heat, clouds, and ocean currents in causing these marine heatwaves, which...
This $1,324,092 project grant, awarded by the National Science Foundation's Geosciences program (CFDA 47.050) to Florida International University (FIU), establishes the South Florida Coastal Environmental Data and Modeling Center. The center will focus on developing AI/ML techniques for understanding and predicting key processes affecting coastal environments in Southeast Florida, with an emphasis on addressing challenges like flood damage, sea-level rise, urban flooding, water quality, and...
The College of William and Mary received a $175,000 project grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070) to develop explainable computer architecture techniques. Over the two-year period from May 1, 2023 to April 30, 2025, the College will build enhancements to computer architecture simulators and visualization tools to analyze performance issues in large-scale, heterogeneous...
This $225,351 Project Grant award, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of AI emulator tools for improving the estimation of statistics for rare and extreme climate events, such as heat waves and cold spells. The project, led by New York University (NYU), will focus on creating novel methods to leverage AI techniques to better model and predict the impacts of these...
This $139,660 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research at the College of William and Mary to develop novel online data mining algorithms that can provide transparent and interpretable machine learning models for real-time applications such as crowd movement prediction, disaster monitoring, and pandemic response. Key objectives include: 1)...