Wildfires represent an escalating planetary emergency with climate change causing more frequent, intense, and destructive blazes that devastate communities, ecosystems, and economies. The AI-REFIRE project focuses on the use of cutting-edge AI and deep learning technology to tackle the multifaceted challenges surrounding wildfires – from accurately forecasting fire behavior to coordinating rapid emergency response, ensuring community resilience through sustainable rebuilding efforts. The proposed project will play a unique role in YPS’ mission to develop innovative solutions for pressing planetary challenges by using AI to address the complex, interconnected aspects of wildfire management. The project’s success will be measured by key metrics, such as a reduction in wildfire impact within 5 years in the project area, a decrease in evacuation-related injuries and fatalities, a reduction in future wildfire risk in rebuilt communities, and an increase in community buy-in and trust in wildfire management strategies. Sustainable wildfire management practices are essential for maintaining the health of the planet, protecting communities, and ensuring economic stability. By achieving these outcomes, AI-REFIRE will demonstrate the transformative potential of AI-driven solutions in enhancing wildfire resilience and mitigating the devastating impacts of these disasters on a planetary scale.
Participants
-
Alex Wong
Assistant Professor of Computer Science
-
Rex (Zhitao) Ying
Assistant Professor for the Department of Computer Science
-
Tarek Kandakji
Quantitative Methodologist in Medecine
-
Nadia B. Ahmad
PhD Student
-
Xuhui Lee
Sara Shallenberger Brown Professor of Climate Science