Social Science Matrix Research Teams are groups of scholars who gather regularly to explore or develop a novel question of significance in the social sciences. Successful research teams integrate participants from several social-science disciplines and diverse ranks (i.e. faculty and graduate students); are focused on a compelling research question with real-world significance; and deploy or develop appropriate methodologies in creative ways.

Matrix teams may address any social science research question, theoretical or empirical, drawing on any of the social sciences. Matrix is especially interested in original and emerging approaches that explore new theoretical and empirical questions, and that combine research at different scales and from different methodologies. Click here to learn more about Matrix Research Teams.


Climate Economics: From Numerical Models to Data-Driven Estimates


  • Maximilian Auffhammer

Policy-makers who make decisions related to the economics of climate change have traditionally relied upon numerical integrated assessment models. These model-driven estimates have been around for over two decades and currently are the only source of information used in official U.S. regulatory analysis.