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Pushing the Limits of Fairness in Collective Decision-Making

Series: Department Seminar

Speaker: Dr. Nisarg Shah Assistant Professor Department of Computer Science Universi

Date/Time: Dec 13 11:00:00

Location: CSA Seminar Hall (Room No. 254, First Floor)

Faculty Advisor:

In this talk, I will discuss fairness in collective decision-making, which includes everyday tasks such as heirs dividing an estate or residents voting over allocation of public budget. First, I will describe our recent work in fair allocation of private goods, where we strengthen individual notions of fairness to groupwise notions. I will also talk about ongoing projects in which we mix ex-ante and ex-post notions of fairness, and aim to achieve the best of both worlds. Finally, I will talk about generalization to allocation of public goods, and how various notions of fairness extend (or not) to this setting. A promised take-away from the talk? Many fascinating open questions and insights into how resolving them can help the society (cue promotion of

Speaker Bio:
Nisarg Shah ( is an assistant professor in the Department of Computer Science at the University of Toronto. His research lies at the broad intersection of computer science and economics. Shah is interested in the issues of elicitation, aggregation, fairness, and incentives that arise from interaction of multiple agents. His recent research has focused on fairness, exploring what it means, and designing provably fair algorithms for different settings. Shah received his Ph.D. from Carnegie Mellon University, and was a postdoctoral researcher at Harvard University. He is the winner of the 2013-2014 Hima and Jive Graduate Fellowship, the 2014-2015 Facebook Fellowship, and the 2016 Victor Lesser Distinguished Dissertation Award.

Host Faculty: Dr. Siddharth Barman