Research Interests

My work consists of two streams. The first is the study of status, norms, and academic behavior. In this project I use social network data from the Longitudinal Study of Adolescent Health to understand the relationship between family background, behavior, and popularity with one's peers.

My second stream of research is the study of human judgment and forecasting. How can we distill knowledge from diverse sources and quantify uncertainty? As an experimental subject in the Good Judgment Project, I came in 1st place in a 9 month prediction market. There is a lot to learn from these large-scale experiments in competitive and cooperative forecasting, so I'm joining the research side.


Teaching

I have had many wonderful teachers over the years, and I'm just begninning to "pay it forward." I recently assisted Ross Stolzenberg in teaching a course about the effects education has on individuals and society. I was previously a teaching assistant for Stephen Raudenbush's statistics class.


Statistical Consulting

I occasionally offer assistance with study design and data analysis. If you're interested in discussing such possibilities, please email me with a thorough description of the research questions and the data available.

Michael Bishop

Ph.D Student
University of Chicago
Department of Sociology

Michael Bishop

Contact

E-mail: [last name] at uchicago.edu