The Physics (and Ethics) of Sequential Fair Allocation
Abstract
In many settings, resources are allocated among people over time, without using monetary transfers: cloud resources among employees, food among food banks, medical supplies between hospitals, funding between non-profit projects, etc. The underlying aim is to try and be 'fair' in these allocations... but what exactly do we mean?
Bio
Sid Banerjee is an associate professor in the School of Operations Research at Cornell, working on topics at the intersection of data-driven decision-making, network algorithms, and market design. His research is supported by grants from the NSF (including an NSF CAREER award), the ARL Network Sciences division, and Engaged Cornell. He received his PhD from the ECE Department at UT Austin and was a postdoctoral researcher in the Social Algorithms Lab at Stanford. He also served as a technical consultant with the research science group at Lyft from 2014-18.
