BORBS XXIII: Game Theory and Data Analytics for Multi-Stakeholder Disaster Management and Security Resilience

Authors: Jun Zhuang (University at Buffalo)

Abstract

Society faces growing risks from natural and human-caused disasters such as wildfires, extreme weather, infrastructure disruptions, and emerging security threats. Building resilience requires coordinated decision-making among multiple stakeholders—including governments, industry, communities, and strategic adversaries—with differing objectives and incentives. This research develops a unified framework integrating game theory, data analytics, and artificial intelligence, including reinforcement learning, to study strategic interactions and adaptive decision-making in disaster management and homeland security. The work designs risk-informed policies that balance efficiency and equity, public and private investment, preparedness and response, and economic development and safety. Applications span wildfire management, public safety, misinformation, border and infrastructure security, and Arctic resilience, advancing next-generation decision-support tools for adaptive and coordinated disaster resilience.

Why should you join?

Reasons why one should attend: This seminar explores how behavioral operations research can be integrated with game theory, artificial intelligence, and reinforcement learning to better understand multi-stakeholder decision-making in disaster management. Attendees will gain insights into how human behavior, strategic interaction, and AI-assisted decision support jointly shape resilience policies in complex environments such as wildfire management and public safety systems.

Additional comment: Jun will also provide insights about publishing a paper in the interface of BOR and DA in the INFORMS Journal Decision Analysis

April 9th, 2026

12 PM to 12.40 PM (UK, London)

1 PM; to 1.40 PM (CET, Berlin)

https://us02web.zoom.us/j/89143663283?pwd=kxdJrqXHfZ0O2nJVPL7TgfCBfuJtRq.1

Meeting-ID: 891 4366 3283

Kenncode: 1

Comment: In case of technical problems, please visit https://www.euro-online.org/websites/bor/behavioral-operation-research-brown-bag-seminar-series/ before the start of the meeting.