Scoring-Based Resource Allocation: Theory and Application
Abstract
The speaker discusses the optimal design of a queueing system where the designer chooses entry and exit rules, service priority, and information provision to agents. The objective is to ensure that agents have incentives to follow recommendations and stay in the queue. The talk explores the use of scoring rules for resource allocation and introduces two approaches for deriving optimal scoring rules that account for fairness considerations. The speaker also presents applications of the methodology in redesigning organ transplant allocation policies and guiding changes in lung transplant allocation.
Bio
Nikos Trichakis is an Associate Professor of Operations Management at the MIT Sloan School of Management. His research interests include optimization under uncertainty, data-driven optimization and analytics, and fairness considerations in resource allocation problems. He has received several awards, including the INFORMS Optimization Society Young Researchers Prize and the INFORMS Koopman Prize.
