Research scientist @ Robust Incentives Group, Ethereum Foundation.
Research in algorithmic game theory, large systems and cryptoeconomics with a data-driven approach.
We build on a previous analysis of the NSE data to understand the game theoretic properties of the Singapore road network during the morning trip. Students are tracked and their mode of transportation is known: we analyse how stable the situation is (equilibration), how comparable students fare with respect to each other (imitation-regret) and attempt to bound the Price of Anarchy of the system (efficiency). This paper is superseded by our next, Routing Games in the Wild: Efficiency, Equilibration and Regret (Large-Scale Field Experiments in Singapore).