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...
Oregon State University was awarded a $250,000 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation Engineering program (CFDA 47.041) to conduct collaborative research from August 1, 2023 to July 31, 2026. The research aims to improve community wildfire resilience by integrating behavioral science with evacuation modeling. Specifically, the university will study household responses to wildfire risk across four wildland-urban interface...
This three-year Project Grant from the National Science Foundation supports research into wildland fire observation, management, and evacuation systems. With $144,967 in funding, the award will develop intelligent collaborative flying and ground systems to aid in monitoring, responding to, and evacuating areas threatened by wildfires.
The awardee is the University Corporation for Atmospheric Research, operating through its National Center for Atmospheric Research facility in Boulder,...
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 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to enhance wildfire risk assessment in wildland-urban interface (WUI) communities through comprehensive data collection and high-fidelity fire spread modeling. The $196,639 award to the University of Maryland, College Park will fund the compilation of a detailed dataset documenting the impacts of the Maui wildfire, as well as an assessment of using advanced computational fluid dynamics...
The University of Utah received a $100,000 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems federal grant program titled Engineering (CFDA #47.041).
Through this award, the University will undertake research to better understand and predict complex wind-driven wildfire propagation patterns using dynamical systems theory. Specifically, the University aims to uncover coherent patterns in wind data that could...
This Project Grant award in the amount of $889,209 was provided by the National Science Foundation's Geosciences Program (CFDA 47.050) to the University of California Irvine (UC Irvine). The primary objectives of this 3-year project are to: 1) Develop a large public dataset of fire-related environmental observations to support machine learning (ML) research on wildfire spread modeling, 2) Advance innovative spatiotemporal ML models to improve understanding and prediction of wildfire spread,...
The University of California, Davis will use a $120,000 cooperative agreement award from the National Institute of Standards and Technology to develop wildland urban interface (WUI) fire simulation models and evacuation strategies. The research will leverage data from California's 2018 Camp Fire to simulate fire hardening and evacuation scenarios for different community archetypes through agent-based modeling, fire dynamics modeling, and evacuation modeling within a semantic framework. This...
The National Science Foundation awarded a $1,049,087 project grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of California, Irvine for the period July 1, 2022 to June 30, 2025. The project aims to develop a network of airborne drones and wireless sensors to aid in wildfire localization and mapping, near-term prediction of fire progression, and providing communications support for firefighters. Key aspects include leveraging detailed 3D...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award, totaling $181,696.00, will fund a survey experiment to investigate public perceptions and support for wildfire risk reduction investments. The project aims to provide insights into how recent wildfire exposure and planned forest management activities impact people's preferences for allocating resources between wildfire prevention and suppression efforts, as well as their...