Our people are leaders in the fields of human genetics, sociology, mathematics, history, evolutionary biology, English literature and psychology, from the nations most prestigous institutions. About a third come from a computational modeling background who are interested in identifying and modeling knowledge generation and transmission processes. The remaining two thirds take the long view of science and scholarship and bring their expertise into meaningful conversations and research on topics that are of interest to them and to the Lab as a whole.

In the Limelight

Joshua Mausolf

Graduate RA, University of Chicago

Joshua Mausolf is a Ph.D. candidate studying sociology at the University of Chicago and a New York University alumnus. He comes to the Computation Institute with experience in machine learning, data-mining, natural language processing, social network visualization, and regression analysis. At the Knowledge Lab, Joshua is working on a project with Aaron Gerow, Bowen Lou, Eamon Duede, and James Evans. This collaboration builds a hypergraph of academics across multiple institutions and predicts future network collaborations using machine learning.
Beyond this project, Joshua is also interested in applying computational methods to a broad range of research questions in sociology, economics, political science, and public policy such as predicting high school dropouts, analyzing presidential speech rhetoric, or understanding how social networks can influence inequality and shape our understanding of organizational behavior in elite hiring firms. 
A sample of his work is available on Github and 
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Matt Letke

Project Coordinator, Knowledge Lab & RDCEP, University of Chicago

Under the Computation Institute, Matt serves as the Project Coordinator for both the Knowledge Lab and the Center for Robust Decision Making on Climate and Energy Policy.  He recently graduated from Boston University with a B.A. in International Relations, concentrating in International Systems & World Order and European Studies.  Although he is currently working for the CI, Matt's extensive experiences range from working in the House of Commons in London to decision science research at Harvard.

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