Project Grant 2536578
- 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 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...
- 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 $989,332 Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop an advanced artificial intelligence (AI) and machine learning (ML) framework to improve understanding and prediction of wildland fires. The University of Maryland, College Park will integrate multimodal geoscientific data, such as satellite observations, to create a comprehensive dataset for detecting and forecasting wildland fires. The research aims to address...
- 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 for $880,158 from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to gain predictive understanding of the physical processes driving the rapid spread of wildfires and associated smoke plumes. The research project, conducted by Florida State University, will consolidate the characteristics of naturally occurring density currents and fire-generated warm plumes to directly apply the physical understanding of observed large-scale turbulent flows to...
- 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...
- Florida State University was awarded a $500,000 Project Grant from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041). The award will support research from March 2021 to February 2026 on multiscale firebrand transport in turbulent boundary layers to advance fire science. As part of its mission to improve engineering research and innovation, the NSF Engineering program funds...
- The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
- 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...
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 and transform wildfire risk management for millions of residents across the hurricane-affected Southeastern United States. This multi-year effort, running from Sep 1, 2025 to Aug 31, 2029, will be led by Florida State University's Sponsored Research Administration Division.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/5/25 |