Misha Teplitskiy
School of Information | University of Michigan
Welcome!
I am an Assistant Professor at the University of Michigan School of Information. I'm a sociologist exploring how social factors—such as status, culture, and institutions—influence scientific discovery ("science of science"). My guiding questions are What can organizations and policy-makers do to accelerate discovery? and Why do some ideas and people achieve impact while others don't? I look for answers in four areas:
knowledge flows studies how scientists learn about new ideas
evaluation processes studies how ideas receive legitimacy and visibility
measuring innovation studies how the quality and impact of ideas can be defined and measured
AI and science studies the impact of AI and other technologies on science
Methodologically, I specialize in computational social science, particularly field experiments and various quantitative/computational tools, and emphasize causal inference.
Previously, I was a Postdoc at Harvard Business School in the Laboratory for Innovation Science at Harvard (LISH). I received my PhD in Sociology from the University of Chicago, where I was a member of KnowledgeLab.
See my CV for papers and links. Here is my Google Scholar.
Here are some sample projects:
Knowledge flows
Measuring innovation
Citations are a biased measure of influence (Research Policy)
The effect of rhetorical citations on inequality in science (Arxiv)
Evaluation processes
AI and science
The Effect of LLMs on Global Inequality in Science
Lab: DiscoveryLab, www.discolab.org
Advising: currently not accepting PhD students
Office: North Quad #3369, 105 S State St
Twitter: @MishaTeplitskiy
Email: tepl @ umich . edu