Project Grant 2535667
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $2.2M
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Norman, OK 73019, USA
Similar Awards
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to gain predictive understanding of the physical processes driving rapid wildfire spread and associated smoke transport. The $108,519 award to the University of Oklahoma will support research to analyze non-modal instability and large-scale turbulent flows in fire-generated smoke plumes. This work will help guide firefighters to more safely and effectively suppress wildfires by improving...
- 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) 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 $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 $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...
- 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...
- 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) Integrative Activities program (CFDA 47.083) provides $293,532 to Boise State University to conduct research on understanding vulnerability to wildland fire. The project analyzes wildfire disturbance as a multi-scalar system, examining how factors like fire exposure, demographics, and risk management capacity influence wildfire impacts on communities. Key objectives include: 1) analyzing national-scale patterns of wildfire...
- This Cooperative Agreement, awarded by the Department of Commerce's National Oceanic and Atmospheric Administration (NOAA), aims to provide quantitative information on the potential impacts of fires to augment the National Weather Service's (NWS) impact-based decision support services. The $906,945.00 award, with a period of performance from Aug 1, 2023 to Jul 31, 2026, will be used by the University of Oklahoma to build statistical relationships between historical NWS forecasts and observed...
- 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...