School of Information | University of Michigan
I am an Assistant Professor at the University of Michigan School of Information and the head of DiscoveryLab. My research explores how institutions and policies affect innovation, especially scientific research. The goal is to answer What can policy-makers and organizational leaders do to accelerate discovery? and What social factors make certain ideas and researchers impactful and others not? I look for answers in how organizations assess scientific ideas (identifying hidden biases in such assessments), the roles of culture and incentives, and the role of face-to-face interaction in idea diffusion.
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.
My work has three main streams:
Knowledge flows studies how scientists learn about new ideas
Evaluation processes studies how ideas receive legitimacy and visibility
Social influence among evaluators: negative information dominates (Management Science)
Measuring innovation studies how the quality and impact of ideas can be defined and measured
Citations are a biased measure of influence (Research Policy)
An additional stream on AI and science studies the impact of AI and other technologies on 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