Project Grant 2536672
- 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...
- This $1,360,564 Project Grant awarded by the National Science Foundation's Biological Sciences (CFDA 47.074) program supports a collaborative research project titled "FIRE-MODEL: Using Multitemporal Ecosystem Energetics to Understand Changes to Fuels and Future Fire Regimes." The project aims to examine and quantify the processes of fuel accumulation and decomposition in order to improve models for predicting future fire regimes across western North America. Key activities include...
- 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) 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 four-year, $212,466 project grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research exploring boreal forest fire feedbacks through multiple timescales. Colorado State University will investigate paleohistory of short-interval fires using lake sediment cores, conduct fieldwork on fire resilience, and use high-performance modeling to estimate future fire behavior. The research aims to determine if current short-interval fires are creating novel...
- 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 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 federal Project Grant award of $136,252.00 from the U.S. Department of Agriculture Forest Service's Forest Health Protection program (CFDA 10.680) will support research to evaluate the joint effects of fire regime and grass invasion on forest regeneration and soil health in oak hickory communities of the central hardwood region in Illinois. The award, which begins on July 15, 2024 and is scheduled for completion by July 31, 2028, will be executed by the University of Illinois, a renowned...
- 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,...
- The National Science Foundation (NSF) awarded a $199,914 Project Grant under the Biological Sciences program (CFDA 47.074) to the University of Wisconsin (UW) System's UW-Madison campus on June 1, 2024. The grant supports a rapid response research project to study the effects of the 2023 wildfires in Canada's Wood Buffalo National Park on soil carbon cycling. Specifically, the researchers will collect pre- and post-wildfire soil samples to quantify carbon losses due to combustion versus...
The National Science Foundation (NSF) Biological Sciences (CFDA 47.074) federal grant program awarded a $889,601 Project Grant to the University of Illinois to conduct 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 in understanding grassland wildfire risk by forming a collaborative network of researchers, land managers, and fire practitioners across the Southern Great Plains region. The project will collect coordinated data on grassland fuel variation and how fuel attributes influence fire behavior, enabling better representation of grasslands in large-scale risk assessment and management planning. The award has a project period from November 1, 2025 to October 31, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $889.6k | 8/14/25 |