AI for Public Health and Conservation: Learning and Planning in the Data-to-Deployment Pipeline

Milind Tambe
Date and time: 
Thu, Nov 12 2020 - 12:15pm
Milind Tambe
Harvard University/Google Research India
  • Thanh Hong Nguyen

With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. We focus on the problems of public health and wildlife conservation, and present research advances in multiagent systems to address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. We present our deployments from around the world as well as lessons learned that we hope are of use to researchers who are interested in AI for Social Impact. Achieving social impact in these domains often requires methodological advances; we will highlight key research advances in topics such as computational game theory, multi-armed bandits and influence maximization in social networks for addressing challenges in public health and conservation. In pushing this research agenda, we believe AI can indeed play an important role in fighting social injustice and improving society.  Video of presentation.


Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. He is a recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award from AAMAS, AAAI Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, Rist Prize of the Military Operations Research Society, Christopher Columbus Fellowship Foundation Homeland security award, AAMAS influential paper award, best paper awards at conferences including AAMAS, IJCAI, IVA. He has also received meritorious commendations and letters of appreciation from the US Coast Guard, Los Angeles Airport, and the US Federal Air Marshals Service. Prof. Tambe is a fellow of AAAI and ACM.