David C. Parkes Research Group

Harvard University

How can algorithms, mechanism design, and multi-agent learning produce reliable collective decisions when agents are strategic or learn from data? Research addresses market and auction design, preference elicitation, bounded-rationality models, multi-agent reinforcement learning, and computational experiments. The group develops theoretical mechanism-design analyses and runs large-scale computational experiments and empirical studies to test mechanisms and learning-driven preference elicitation. Researchers lead the EconCS research group and connect with Harvard Data Science and Laboratory for Innovation Science resources. Contact details and teaching responsibilities are listed on the SEAS and lab pages.