Project Grant 2536810
- 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...
- 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 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 $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 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...
- 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 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 $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 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, 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. The goal is to create a unified data and information integration system to reduce firefighting response time, mitigate damage, and save lives. The project will convene a networked conference of fire chiefs to support the development of wildland fire data integration and expand outreach to communities and agencies nationwide to build a more resilient future.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $249.5k | 8/19/25 |