USC CAIS Seminar: Allocating Scarce Societal Resources Based on Predictions of Outcomes

Tuesday, November 13, 2018 at 3:30pm to 4:30pm

This is a past event.

Salvatori Computer Science Center (SAL), 101
941 Bloom Walk, Los Angeles, CA 90089

Abstract:

Demand for resources that are collectively controlled or regulated by society, like social services or organs for transplantation, typically far outstrips supply. How should these scarce resources be allocated? In this talk, Dr. Das will discuss his work on weighted matching and assignment in two domains, namely living donor kidney transplantation and provision of services to homeless households. His focus will be on how effective prediction of the outcomes of matches has the potential to dramatically improve social welfare both by allowing for richer mechanisms and by improving allocations. He will also discuss implications for equity and justice.

Bio:

Dr. Sanmay Das is an associate professor in Computer Science and Engineering and the chair of the steering committee of the newly formed Division of Computational and Data Sciences at Washington University in St. Louis. He is vice-chair of the ACM Special Interest Group on Artificial Intelligence and a member of the board of directors of the International Foundation for Autonomous Agents and Multiagent Systems. Dr. Das has served as program co-chair of the AAMAS and AMMA conferences, and has been recognized with awards for research and teaching, including an NSF CAREER Award and the Department Chair Award for Outstanding Teaching at Washington University.

Event Type

Lecture / Talk / Workshop

Audience

Students, Alumni, Faculty/Staff

Campus

University Park Campus

Website

https://www.cais.usc.edu/events/alloc...

Cost

free

Department
Center for Artificial Intelligence in Society
Add this to your calendar

Recent Activity