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Terence Johnson is an economist specializing in market design and development economics, using machine learning and other tools to design or improve the performance of markets. He joined the School of Data Science as an Assistant Professor in 2022.
Johnson studies how the structure of markets shapes inefficiencies that hamper economic performance, particularly in developing countries. He uses tools from game theory, mechanism design, and machine learning to measure the impact of market failures, and then design and test new solutions. His projects have ranged from reducing monopoly power in the market for sanitation through auctions in Senegal to empowering female entrepreneurs through mentorship and grants in Kenya to measuring the cost of corruption in public procurement in Tanzania.
His projects have been funded by the Bill and Melinda Gates Foundation and the Jameel Abdul Latif Poverty Action Lab (JPAL), and his scholarly work has appeared in the American Economic Journal: Applied, the Journal of Economic Theory, the Journal of Development Economics, the Economic Theory, World Bank Economic Review, and the Oxford Handbook of Market Design. He holds a Ph.D. in economics from the University of Maryland, College Park, and a B.S. in Economics, Mathematics, and Political Science from Syracuse University.
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