Research focus
About the research
How can algorithms, mechanism design, and multi-agent learning produce reliable collective decisions when agents are strategic or learn from data?
Read the full research overview
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.
Selected publications
Publication highlights haven’t been added. Explore the official research profile ↗
People & alumni
Team details haven’t been added. See the lab’s website for its current members.
Alumni details haven’t been added. Check the lab’s official website.
Sources & listing information
Find Research Labs maintains this page using public sources. The faculty member, lab, and university have not claimed or approved this listing. Listing a lab does not indicate endorsement, partnership, or a recruiting opportunity.
Request a correction or removal ↗ · About directory listings