Project Grant 2531369
Award Date 10/1/25
Completion Date 9/30/28
Dollars Obligated $1.3M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Fairfax, VA, USA
Similar Awards
- This Project Grant award of $1,922,053 from the National Science Foundation's Geosciences Program (CFDA 47.050) will develop an integrated artificial intelligence (AI) system to address the full lifecycle of hurricane-fueled wildfires in the Florida Panhandle. The research will enhance community resilience by providing emergency managers with predictive tools for fuel accumulation, real-time roadway monitoring during evacuations, and automated infrastructure damage assessment. The project will...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the New Mexico Institute of Mining and Technology (New Mexico Tech) located in Socorro, New Mexico. The goal of this 3-year project is to develop advanced AI-driven tools to help communities and policymakers across the U.S. better understand local risks and plan for resilience to extreme weather events such as droughts, wildfires, flash floods, and...
- The National Science Foundation (NSF) awarded a $1,500,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of North Texas Research and Innovation Division. The grant funding aims to develop a comprehensive framework to streamline diverse processes and integrate advanced technological solutions into disaster relief operations, enhancing the overall effectiveness and speed of emergency response efforts. The key objectives are to...
- This $353,178 Project Grant was awarded on October 1, 2025 by the National Science Foundation's Geosciences Program (CFDA 47.050) to the University of Florida. The grant funds the development of a transformative AI-based framework to generate high-fidelity, physically consistent, and uncertainty-calibrated geoscience data to address limitations in observational infrastructure and computational cost. Key innovations include physics-guided loss functions, text-prompted expert guidance, and...
- The National Science Foundation (NSF) Geosciences program (CFDA 47.050) has awarded a $500,000 project grant to the University of Maryland, College Park (UMD) for "Collaborative Research: CAIG: Reliable Generative Downscaling for Geoscience Data". The project aims to develop a transformative AI-based framework to generate high-fidelity, physically consistent, and uncertainty-calibrated geoscience data that can enable better decision-making for disaster preparedness, emergency response,...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $198,769 Project Grant to Colorado State University to plan the expansion of NOAA's Hurricane and Ocean Testbed (HOT) to be AI-ready. The goal is to bridge the gap between the AI community developing promising models and the operational hurricane forecasting community that could benefit from them. The research team, which includes experts in hurricanes, AI, risk...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) aims to advance disaster decision-making, risk assessment, and management science. The $191,614 award to Mississippi State University (MSU) from September 1, 2025 to August 31, 2028 will develop a comprehensive, risk-based national shelter accessibility model. This model will account for both the availability and accessibility of shelters during natural...
- The National Science Foundation (NSF) awarded a five-year, $589,274 CAREER project grant under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to The Johns Hopkins University. The project aims to develop next-generation scalable, efficient, and interpretable probabilistic AI infrastructure to enable joint modeling and assessment of cascading disaster impacts from no-notice and short-notice natural hazards, such as earthquakes and hurricanes. The...
- This Project Grant award, provided by the National Science Foundation (NSF) under its Engineering program (CFDA 47.041), supports research on developing an open-source, AI-enabled synthetic population inventory to facilitate disaster impact studies. The total funding amount is $199,976.00, with a project period from December 1, 2024 to November 30, 2026. The objective of this Early-Concept Grant for Exploratory Research (EAGER) project is to create a comprehensive and accurate synthetic...
- This Project Grant award of $650,000.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to advance fundamental understanding of the long-range predictability and environmental dependency of high-impact cyclones using new observational datasets and artificial intelligence (AI) tools. The key products and services to be delivered include: Delineating the predictability limits of high-impact cyclones such as hurricanes and nor'easters using newly developed AI weather...