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AI in Disaster Preparedness, Response, and Recovery

About the Webinar

Originally presented on May 14, 2025

Watch the Recording.

Disaster recovery requires a coordinated set of actions and strategies aimed at restoring affected areas immediately following an event. As the number of disasters per year significantly increases, emergency managers and responders are inundated with large amounts of data processing and decision-making required for successful response and recovery outcomes. Artificial intelligence (AI) has a significant potential for facilitating many of these activities. By enhancing decision-making and communication, AI would allow officials to concentrate more effectively on critical aspects of the response.

The EPA's Homeland Security Research Program has been working to leverage AI and enhance disaster readiness for several years. This presentation will showcase real-world applications of AI and its future potential in disaster preparedness and recovery. The EPA is researching AI technology integration in a way that can significantly improve predictive capabilities, streamline response efforts, and optimize recovery processes, ultimately reducing the impact on communities. This presentation will highlight successful implementation of AI in current disaster management scenarios, providing tangible examples of technology-driven improvements in environmental cleanup outcomes.

About the Presenter

Timothy Boe is a Geographer with EPA's Homeland Security Research Program. His work primarily focuses on response and waste management issues following chemical, biological, radiological, and nuclear (CBRN) incidents. He is also developing computer-based decision support tools, including artificial intelligence and other virtual platforms, to aid decision-makers in responding to wide-area contamination incidents. Before joining EPA, Timothy worked as an Oak Ridge Institute for Science and Education (ORISE) Fellow where he conducted research on wide-area CBRN remediation. Timothy has an M.S. and a B.S. in Applied Science from Arkansas Tech University (Russellville).

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Last updated on June 2, 2025
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