Summer School of Computational and Experimental Economics

The 2nd Summer School of Computational and Experimental Economics will be held from June 11 to June 17 at Beslab of Universitat Pompeu Fabra, Spain.

• Goal: The goal of the summer school is to develop a foundation for using computational models and simulations to complement and/or explain results from human subject experiments. In particular, throughout the curriculum, students will learn how to implement a variety of agent-based models that have been successful in capturing regularities observed in the experimental and field data. In addition, the summer school will include a two-day workshop on computational and experimental economics which will include presentations by the leading researchers who are interested in experimental and computational economics.
• Schedule Outline: The summer school coursework will begin with an overview of the literature at the intersection of experimental/behavioral economics and computational economics (as highlighted for example by The Handbook of Computational Economics, Heterogenous Agents, edited by Cars Hommes, Blake LeBaron, Volume 4, 2018) and continue with specific implementations of recent models including reinforcement learning, evolutionary learning, and belief learning. In addition, students will compare the performance of the agent-based approach to computational approaches that do not relax the assumptions of perfect rationality and information (e.g., dynamic programming).