Scott Rodilitz

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.

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1 Articles

A screen grab of the Volunteer Match website that reads "How do I?' on an orange and white background. Research Brief / Technology

Matching Algorithms Work Fine — Until Bypassed By External Links

How to rebalance supply and demand amid today’s chaotic internet traffic