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Florida State University Leads Innovative Fire Research Project

Illustration showcasing predictive fire modeling concepts and wildfire management.

News Summary

Florida State University’s Geography Department has been chosen for the National AI Research Resource (NAIRR) Pilot Start-up program to develop a predictive fire model for California. Co-led by professors Ziqi Li and Liling Chang, the project will utilize historical fire data to forecast fire occurrences and their potential severity. With support from the NVIDIA Academic Grant Program, the research aims to enhance fire management efforts and community preparedness in fire-prone regions, benefiting not only California but also other states facing similar challenges.

TALLAHASSEE, Fla. – A research project from Florida State University’s (FSU) Department of Geography has been selected for the National Artificial Intelligence Research Resource (NAIRR) Pilot Start-up program, presenting a significant advancement in predictive fire research. The initiative aims to create a predictive model that can forecast fire frequency and severity specifically in California.

Led by the National Science Foundation, the NAIRR Pilot Start-up program is designed to connect researchers and educators with vital computational, data, and training resources that are essential for advancing artificial intelligence (AI) research. One of the key resources provided through this program is the Graphics Processing Unit (GPU), which is crucial for training the foundation models used in this research.

The project, titled “Advancing Foundation Models to Predict Future Fires in California,” is co-led by assistant professors Ziqi Li and Liling Chang. The model will utilize historical fire data from California to predict when and where future fires are likely to occur, as well as their potential severity. This predictive capability is expected to aid fire management organizations in responding to catastrophic events and in comprehensively understanding fire management effects on various ecosystems.

The overarching goal of the project is to generate predictive future time series, spatial maps, and severity mosaics illustrating potential fire scenarios in California by the end of the century. According to the researchers, understanding the role of climates and ecosystems in influencing fire behavior is essential, especially considering regional differences that existing studies often overlook.

The predictive model is designed to account for geographic variations in fire patterns, offering forecasts that could extend beyond California’s borders. After establishing connections among climate variations, ignition sources, and ecosystem characteristics, this model may also be adapted for use in other regions, such as southeastern U.S. states including Florida. This adaptation aims to enhance accuracy in fire prediction and improve community preparedness in those areas.

The research team has also received significant support through the NVIDIA Academic Grant Program, which has supplied them with 10,000 GPU hours on NVIDIA’s Brev AI platform to facilitate ongoing model development. The integration of these advanced computing resources is expected to significantly expedite their research efforts and improve the quality of the predictions produced.

The project aligns with the pressing need for innovative solutions to effectively manage and mitigate wildfire risks, especially given the increasing frequency and severity of such events in recent years. The insights garnered from this research are anticipated to provide essential data that will benefit not only California but also communities in other fire-prone areas across the nation.

For more detailed information about FSU’s College of Social Sciences and Public Policy, as well as the Department of Geography, interested individuals can access resources via the university’s official website.

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