Project Grant 2536735
- The National Science Foundation (NSF) Geosciences Program (CFDA 47.050) awarded a $1,305,489 project grant to the University of Colorado to develop a validated, physics-based computational modeling capability for predicting firebrand generation, properties, and near-field transport during wildland fires. This highly interdisciplinary research project aims to improve the accuracy and reliability of computational tools used to simulate and predict the spread and impact of large-scale wildfires,...
- This Project Grant award of $411,021.00 from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a collaborative research project titled "FIRE-NET: GRASS FIRES: A CONVERGENT NETWORK FOR UNDERSTANDING FUELS AND FIRE RISK IN GRASSLANDS". The project aims to fill critical knowledge gaps around how grassland fuel structures vary across space and time, enabling improved assessment and mitigation of wildfire risk in grassland ecosystems. Key activities include...
- The National Science Foundation (NSF) awarded a $889,209 Project Grant under the Geosciences Program (CFDA 47.050) to the University of California, Irvine (UC Irvine) to advance wildfire science, prediction, and management using machine learning. The key products and services to be delivered include: Developing a large new public dataset of fire-related environmental observations to support large-scale machine learning and reproducible research on wildfire spread modeling. Advancing innovative...
- 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 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 $297,813 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) supports research to advance the predictive understanding of wildfire ignitions in the western United States. The project establishes new collaborations between Boise State University, the Universities Space Research Association, and NASA Ames Research Center to analyze the biophysical, social, and management factors associated with different wildfire ignition...
- 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 $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 $3,999,959 Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will support research at Boise State University to advance the use of prescribed fire and managed wildfires for wildfire mitigation in the western United States. The project will generate novel insights into the multi-dimensional socio-environmental impacts of managed fires, integrating advanced statistical methods, machine learning, and ecosystem modeling. It will...
- 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 $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 AI-based tools to assess wildfire hazard, exposure, and vulnerability. This will inform risk estimates to improve protection of lives and property as wildfire activity increases. The work will be carried out by a network of over 200 researchers and stakeholders, building upon the data synthesis capabilities of the University of Colorado's Environmental Data Science Innovation and Impact Lab (ESIIL). The project period runs from January 1, 2026 through December 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.5m | 8/21/25 |