Scott Rodilitz
Assistant Professor of Decisions, Operations and Technology Management
About
Drawing on techniques from operations, computer science, economics and statistics, Scott Rodilitz produces research that optimizes online platforms to support public- and civic-sector decision makers. He builds data-driven models of large stochastic systems to shed light on how organizations can harness the power of crowdsourcing and platform-based markets.
Topics

2 Articles

Distributing Aid Fairly Amid Scarcity and Unknown Demand
Building adaptability into an approach improves performance

Matching Algorithms Work Fine — Until Bypassed By External Links
How to rebalance supply and demand amid today’s chaotic internet traffic