Misha Teplitskiy

I am an Associate Professor at the University of Michigan School of Information and the head of DiscoveryLab. I am a sociologist interested in the drivers of scientific and technological innovation, and especially the role that policy and technology can play in accelerating scientific discovery. My current research investigates 

1. How AI is reshaping education and science

2. The design of effective evaluation/selection methods for innovative ideas

3. Knowledge diffusion between scientists and the public, in-person and online

4. Factors affecting selection into science, such as wealth and immigration restrictions.

Although much of my work focuses on the domain of science, I am also interested in knowledge dynamics in other domains, e.g. Wikipedia. Methodologically, I specialize in field experiments, quasi-experimental methods, and computational techniques like natural language processing.

I am an invited researcher at J-PAL’s Science for Progress Initiative (SfPI). Previously, I was a Postdoc at Harvard Business School in the Laboratory for Innovation Science (LISH) with Karim Lakhani. I received my PhD in Sociology from the University of Chicago, where I was a member of KnowledgeLab and advised by James Evans.

Areas of interest

Science of science, collective intelligence, computational social science, experiments

Education

Ph.D. in Sociology, University of Chicago

B.S. in Physics and Mathematics, Rice University