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

Molly Lewis

Special Faculty, Carnegie Mellon University

My research focuses on understanding how linguistic meaning--semantic space--is acquired in cognitive development, changes over historical time, and varies cross-linguistically. I am also interested in issues related to scientific replicability and reproducibility. I received my PhD in Developmental Psychology from Stanford University, where I worked with Michael Frank. Before that, I received a BA in Linguistics from Reed College.

At the Knowledge Lab, my work examined cross-linguistic variability in the alignment of linguistic meaning using large scale corpora. I was co-advised by James Evans at the Knowledge Lab and Gary Lupyan in the Psychology Department at the University of Wisconsin-Madison.

I am currently a faculty member in the Department of Psychology and Social and Decision sciences at Carnegie Mellon University. My personal website:

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Reid Mcllroy-Young

Graduate Student, University of Toronto

I have a Masters in Computational Social Science from the University of Chicago and was a researcher at Knowledge Lab. My current research is on developing new machine learning techniques that are useful in the social sciences. What insites into human nature are presnet in the mass behaviour of people? I have primarily worked with collections of source code and bibliographic sources to examine these, but as my PhD progresses I hope to expand the domain.
At Knowledge lab I primarily participated in two projects. First a collection of Jupyter Notebooks to help with James Evans' Content Analysis class, these are detailed examples working through problems relevant to many social scientists, such as entity extraction, auto-encoders or model selection. Secondly, I was the main researcher on quarter million Sloan grant to study how programming languages impact science and thought with James Evans and Gary Lupyan.
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