Design of Information Sharing Mechanisms in Markets and Service Systems
Saturday, April 25, 2020 - 1:45pm - 2:15pm
In many online marketplaces and service systems, there is an informational asymmetry between the platform operators and the users of the system: users often have much less system state information than is available to the operators. Since such information directly affects users' behavior, a natural question is how should a platform share information with users in order to achieve system-wide goals. Using tools from Bayesian persuasion, I will present a recent line of work that addresses this question in various practical contexts, including throughput maximization and congestion reduction in service systems, and driver positioning to match demand in spatial ride-hailing markets.