Project Grant 2536600
- 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...
- 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...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $606,882 to Florida State University (FSU) to develop and validate 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 aims to capture the dynamic motion of real tree canopies and their effects on fire spread, addressing limitations...
- 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 $400,000 Project Grant, awarded by the National Science Foundation's STEM Education program (CFDA 47.076), will develop an integrated artificial intelligence system to address the full lifecycle of hurricane-fueled wildfires in the Florida Panhandle. The research will create pre-wildfire capabilities to model hurricane-driven fuel dynamics, real-time roadway monitoring for evacuations, and automated infrastructure damage assessment. The open-source system will enhance community resilience...
- 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...
- This Project Grant award from the National Science Foundation's Biological Sciences Program (CFDA 47.074) will develop an advanced Artificial Intelligence (AI) and Machine Learning (ML) framework to improve the understanding and prediction of wildland fires. The $867,245 grant, awarded to American University, will integrate multimodal geoscientific data from various platforms to create a comprehensive dataset for wildland fire detection and forecasting. The research team will address key...
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 aims to improve the behavioral realism, prediction accuracy, and decision-support capabilities of wildfire evacuation simulation models, ultimately strengthening wildfire resilience. The project is scheduled to run from December 1, 2025 to November 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $418.4k | 8/22/25 |