Project Grant 2536601
- 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...
- This Project Grant award of $411,900.00 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of a convergent framework for next-generation wildfire evacuation simulation. The research aims to create realistic artificial intelligence (AI) agents powered by large language models, reinforcement learning, and multi-modal datasets to improve the behavioral realism, prediction accuracy, and decision-support capability of wildfire evacuation simulation...
- 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...
- 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...
- 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 $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...
- 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...
- This $599,974 National Science Foundation project grant under the Engineering program (CFDA 47.041) will fund the creation of a physics-based computational model for predicting structural ignition risks from wildfires at the University of Michigan from January 2023 through December 2025. The model will simulate ignition from firebrands on structures using a probabilistic multiphase Eulerian approach for transport and the discrete element method for firebrand fracture and mass loss. It will be...
- This $1,481,250 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will support a collaborative research project at North Carolina State University (NC State) to investigate the impacts of rapid shifts between extreme wet and dry weather conditions on fuel loading and wildfire risk in the Southeast United States. The project will characterize these hydroclimatic events and their relationship to observed wildfires, conduct field experiments to...
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 language models, reinforcement learning, and multi-modal datasets. This research is intended to improve the behavioral realism, prediction accuracy, and decision-support capabilities of wildfire evacuation simulation models, ultimately strengthening wildfire resilience through better understanding of how civilians, incident commanders, and public safety officials make protective action decisions during wildfires.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $353.5k | 8/22/25 |