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

Misha Teplitskiy

Postdoctoral Fellow, Harvard University

I graduated with a Ph.D. in Sociology from the University of Chicago. I was a Graduate Research Fellow at KnowledgeLab. My research focuses on academic publishing, particularly on how scientists evaluate the work of others. How do scientists decide if a finding is worthy of publication, and how valid are these judgments?  To answer these questions I examine the peer review files of academic journals using a variety of machine learning and text processing techniques.

I am also engaged in a variety of collaborative projects. In a KnowledgeLab project with James Evans, we test the robustness of a large sample of claims published in social science journals by testing them on out-of-sample data and “perturbing” the model specifications. In another KnowledgeLab project with Eamon Duede and Grace Lu, we study which scientific findings move from the scientific literature to Wikipedia.

A word of biography: I grew up in Ukraine and moved with my family to Texas, where I attended Rice University to study physics and mathematics. During that time I participated in research on plasma waves at Los Alamos National Laboratory and quantum phase transitions at Rice. Near the end of my undergraduate years I discovered the exciting fields of mathematical and computational social science and began a PhD in sociology at the University of Chicago in 2008.

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Jack Reece

Alumnus: Summer Intern, Purdue University

I graduated from the University of Chicago Laboratory High School in 2014, and began studying computer science at Purdue University. I am mainly interested in theoretical computer science and software engineering. My summer research involved ingesting the Annual Reviews corpus — an archive of articles from the publishing company Annual Reviews’ yearly review series on science and social science — into Bookworm's database. Despite setbacks owing to inconsistency in the storage, formatting, and distribution of article data and metadata, I was able to ingest the majority of the corpus into a functional database useful for research purposes. Future work on this project may include implementing full compatibility with the Bookworm web app and implementing more robust database ingestion methods.
I also participated in “In the loop: a city data and digital manufacturing project,” an educational program hosted jointly by Data Science for the Social Good (DSSG), the School of the Art Institute (SAIC), Inventables, the Center for Robust Decision making on Climate and Energy Policy (RDCEP), Knowledge Lab, and Englewood Codes.
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