Assistant Professor of Decisions, Operations and Technology Management
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.
Matching Algorithms Work Fine — Until Bypassed By External Links
How to rebalance supply and demand amid today’s chaotic internet traffic