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Misha Teplitskiy is an Assistant Professor at the University of Michigan's School of Information, where he leads the DiscoveryLab. His research interests lie at the intersection of sociological analysis and technological innovation, particularly focusing on how policy and technology can accelerate scientific discovery. Teplitskiy's current work explores effective methods for evaluating and selecting innovative ideas, along with the diffusion of knowledge among scientists and the public, utilizing in-person and online platforms. His investigative efforts address factors influencing the supply of scientists and graduate admissions, with a special focus on Artificial Intelligence in higher education. Methodologically, he specializes in computational and quantitative methods, natural language processing, field experiments, and causal inference techniques. Before his appointment at Michigan, Teplitskiy was a postdoctoral fellow at Harvard Business School, contributing to the Laboratory for Innovation Science under Karim Lakhani. He received his Ph.D. in Sociology from the University of Chicago, where he was part of KnowledgeLab and was advised by James Evans.
University of Michigan School of Information • Ann Arbor, MI
Engaged in research and teaching in the areas of computational social science and innovation.
Department of Electrical Engineering and Computer Science