This National Science Foundation Project Grant of $500,000 will fund the development of a sociotechnical digital twin and serious games to support wildfire risk reduction efforts in Northern California communities through 2025. Under the STEM Education program (CFDA 47.076), the University of California, Berkeley will create an innovative digital model integrating physical infrastructure, social networks, and insurance mechanisms across time and space. Serious games will engage stakeholders in...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will establish a framework to link wildfire behavior at global and local scales. The $999,457 award to Vanderbilt University aims to improve models of fire risk in fire-prone communities by considering houses as drivers of fire, rather than just recipients. The project will develop a new community wildfire propagation model, AGNI-NAR, to capture fire interaction between vegetation and structures....
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...
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 Project Grant award, funded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research project titled "CAREER: Understanding Vulnerability to Wildland Fire by Assessing Wildfire Disturbance as a Multi-Scalar System." The $146,766 award, effective August 1, 2025 through July 31, 2030, will be carried out by Boise State University. The key objectives of the project are to: (1) analyze patterns of vulnerability to...
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 three-year, $507,943 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund research at Arizona State University to develop new data-driven risk prediction and management tools for fire departments. The research has several goals: conducting empirical study of community-oriented risk work and associated data use by fire personnel; developing a human-centered design process for future tools; co-designing speculative...
This $429,216 Cooperative Agreement awarded by the U.S. Department of the Interior's Bureau of Land Management under the Joint Fire Science Program (CFDA 15.232) aims to investigate how previous managed wildfires influenced the extent, severity, and management tactics used on recent uncontrolled wildfires in the southern Sierra Nevada. The project has six key objectives: (1) identify the environmental factors that led to recent wildfires either burning over or stopping at the boundaries of...
This Project Grant award of $317,959, provided by the National Science Foundation's Geosciences Program (CFDA 47.050), aims to gain predictive understanding of the physical processes underlying rapid wildfire spread and associated smoke transport. The research will consolidate common characteristics between naturally occurring density currents and fire-generated warm plumes to apply the physical understanding of observed large-scale turbulent flows to the rapid growth of billows in fire smoke...
This $370,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund research at The University of Alabama in Huntsville to improve understanding of wildfire behavior in heterogeneous fuel mixtures from July 2022 to June 2025. The research aims to identify key physical and chemical processes controlling ignition and spread of fire in mixtures of living and dead fuels through controlled experiments and computational simulations. Lasers and other...