Lawrence De Geest is an Assistant Professor of Economics at Suffolk University and a Senior Data Scientist at Lyft. Professor De Geest’s academic research uses experiments, game theory and computational models to study institutional emergence and coordination problems that stem from misaligned incentives and private information. In his role at Lyft, Professor De Geest works on causal inference. Prior to joining Lyft, Professor De Geest was a Senior Data Scientist at the National Basketball Association (NBA). Professor De Geest received his PhD in Environmental Economics from UMass-Amherst.
- Causal Inference
- Machine Learning
- Complex Systems
- Social dilemmas
- Norms and institutional emergence
- Information asymmetries
- UMass-Amherst, PhD in Environmental Economics, 2017
- University of Iowa, BA in International Studies, 2009
- Assistant Professor of Economics, Suffolk University
- Senior Data Scientist, National Basketball Association (NBA)
- “Ours, Not Yours: Earned Property Rights, Collective Action and Deterrence in Common-pool Resources” with Abdul Kidwai and Javier Portillo. Journal of Economic Psychology. 2021.
- “Norm Enforcement with Incomplete Information” with David C. Kingsley. Journal of Economic Behavior & Organization. 2021.
- “Deterring poaching of a common pool resource” with John K. Stranlund and John M. Spraggon. Journal of Economic Behavior & Organization. 2017.