School of Information | University of Michigan
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.
Here are some sample projects:
Citations are a biased measure of influence (Research Policy)
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
Email: tepl @ umich . edu