Project Grant 2536811
- This Project Grant award, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), aims to develop a Decision-Support Data Integration Network System (DESDINY) to improve fire response time and mitigate damage from wildfires. The $249,479 award to Chapman University will focus on the Orange County Fire Authority, one of the largest fire agencies in the U.S., to map synergies and differences in decision-making across fire agencies and address data integration challenges....
- 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...
- 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...
- 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...
- The federal Project Grant award of $500,000 from the National Science Foundation's Integrative Activities program (CFDA 47.083) will fund the "FIRESCAPE NEVADA: MULTISCALE WILDFIRE RISK MODELING AND COMMUNITY-LED PLANNING IN NEVADA'S WILDLAND-URBAN INTERFACE" project. This project, led by the Nevada System of Higher Education's Desert Research Institute, aims to advance wildfire science and mitigation through the development and application of a high-resolution, coupled...
- 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 $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...
- 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...
- The National Science Foundation awarded a $5.138 million cooperative agreement to the University of California, San Diego from October 2021 to September 2023 under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The award supports development of an Artificial Intelligence and Community Driven Wildland Fire Innovation via a WiFire Commons Infrastructure for data and model sharing. Key products include a data visualization environment, explainable AI capabilities for...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $517,897 to the Space Science Institute (SSI) aims to develop a Decision-Support Data Integration Network System (DESDINY) to improve fire response time and reduce wildfire damage. The project leverages human-centered design research and a networked conference of fire chiefs to integrate data and information across fire agencies, with a focus on the Orange County Fire Authority (OCFA) as a case study. The overarching goals are to save lives, mitigate property damage, and unify knowledge ecosystems by improving the speed and accuracy of decision-making during wildfires. The 3-year project, running from January 1, 2026 to December 31, 2028, will investigate synergies and differences in decision-making across fire agencies, and how discrepancies in data and information impact wildfire response.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $517.9k | 8/19/25 |