Project Grant 2536602
Award Date 12/1/25
Completion Date 11/30/28
Dollars Obligated $412K
Funding Federal Agency
Awarding Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Salt Lake City, UT 84112, USA
Similar Awards
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $418,401 to the University of Florida (UF) to develop a novel convergent framework for learning-based simulation of collective human behavior in wildfires. The objective is to create a transformative simulation model with realistic artificial intelligence (AI) agents powered by psychological theory, large language models, reinforcement learning, and multi-modal datasets. This research...
- The National Science Foundation (NSF) has awarded a Project Grant under the Engineering federal grant program (CFDA 47.041) to The Johns Hopkins University to develop a convergent framework for learning-based simulation of collective human behavior in wildfire evacuations. The $353,457 award, which runs from December 1, 2025 to November 30, 2028, aims to create next-generation wildfire evacuation simulation models that feature realistic artificial intelligence (AI) agents powered by large...
- The National Science Foundation awarded a $100,000 Project Grant to the University of California, Berkeley under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop context-specific scientific simulation models and an advanced visualization platform to mitigate wildfire risks. The award period is from July 1, 2022 to June 30, 2023. Specifically, the University will create an integrated simulation framework capturing the dynamics of wildfire evacuation, including...
- This $389,332 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop improved computer models and simulation tools to better predict how wildfires spread in areas where forests and natural areas meet cities and towns, known as the wildland-urban interface (WUI). The key objectives are to: 1) Gain a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local...
- The University of Utah received a $100,000 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems federal grant program titled Engineering (CFDA #47.041). Through this award, the University will undertake research to better understand and predict complex wind-driven wildfire propagation patterns using dynamical systems theory. Specifically, the University aims to uncover coherent patterns in wind data that could provide...
- This $390,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to improve the understanding and modeling of fire spread in the wildland-urban interface (WUI), where forests and natural areas meet cities and towns. The key objectives are to: Develop a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local scale. Investigate how these localized interactions influence...
- Oregon State University was awarded a $250,000 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation Engineering program (CFDA 47.041) to conduct collaborative research from August 1, 2023 to July 31, 2026. The research aims to improve community wildfire resilience by integrating behavioral science with evacuation modeling. Specifically, the university will study household responses to wildfire risk across four wildland-urban interface...
- This $2,496,689 Project Grant awarded by the National Science Foundation's Geosciences Program (CFDA 47.050) will establish the FIRE-NET network to develop a new framework for "fast fire risk" across the western United States. The goal is to better understand and predict the growing threat of fast-moving wildfires that have become more frequent and destructive in recent years. The project will leverage expertise across multiple disciplines to create advanced data modeling and...
- The National Science Foundation (NSF) awarded a $430,171 Project Grant under the Engineering program (CFDA 47.041) to Worcester Polytechnic Institute (WPI) to develop a new predictive modeling framework that incorporates canopy biomechanics, aerodynamics, and fire-atmosphere interactions to better understand and predict wildfire behavior in forested areas. The research team will use multi-physics modeling and controlled laboratory experiments to simulate how flexible trees interact with wind and...
- This SBIR Phase II Cooperative Agreement award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $1,231,473 to Wui-Go, LLC to develop a decentralized evacuation intelligence platform powered by generative AI. The project aims to enhance public safety and community resilience in wildfire-prone areas through personalized evacuation planning and real-time guidance. The key innovations include a surrogate modeling approach for fast...