Jan Overgoor

Hi there! I'm a data scientist and PhD candidate in the MS&E department at Stanford University. My interests include polarization, modeling culture, social mobility, trust, and criminal justice. I currently work with Johan Ugander, Sharad Goel and Amir Goldberg.

Before coming back to school, I worked at Airbnb on search, experimentation, knowledge sharing, and building out the data science team. I occasionally do part-time data science consulting.

You can contact me at overgoor {at} stanford {dot} edu

Social network formation during and after college

We study the impact of going to colleges on peoples social networks, using a large data set of networks from over 1k colleges in the U.S. We look at network formation processes, the role of homophily, heterogeneity across schools, and the long-range impact of networks formed during college years. This project is done in collaboration with Eduardo Laguna-Müggenburg, Bogdan State, and Lada Adamic.
Work in progress

Cultural integration following corporate mergers

We trace the cultural integration of three firms based on analysis of email content before and after their subsequent mergers and explore how patterns of cultural assimilation that individuals follow after the merger relate to their subsequent career outcomes. This project is part of the Computational Culture Lab in collaboration with Anjali Bhatt, Amir Goldberg, and Sameer B. Srivastava.
Work in progress

A large-scale analysis of racial disparities in police stops across the United States

Using public record requests we compiled and analyzed a large dataset of over 130M state patrol stops in 31 U.S. states. We find that minority drivers are persistently more likely to be cited, searched, and arrested than white drivers. We also looked at the impact of marijuana legalization in Washington and Colorado. We released the data, for other researchers to work with. This work is part of the Stanford Computational Policy Lab and done in collaboration with Emma Pierson, Camelia Simoiu, Sam Corbett-Davies, Vignesh Ramachandran, Cheryl Phillips, and Sharad Goel.
Submitted for review, 2018  ·  Project homepage  ·  paper

Product data science at Airbnb

I was at Airbnb from 2012 to 2016, as the first data scientist working on product. I worked with teams across the company, but my main focus was search. I also worked on data tools, including the experimentation platform and a system to share knowledge and findings within the company. I wrote a few external blog posts during my time there: on search, experimentation, and the knowledge repository.

Trust in the CouchSurfing community

I worked with CouchSurfing to study how trust gets signaled and propagated in the community. We found linguistic markers that are highly predictive of distrust, and that trust relations are transitive enough to improve predictions of the valence of new ties. This work was done with Bogdan State, Ellery Wulczyn, and Chris Potts.
Msc. thesis, 2012  ·  Poster presentation at ICWSM '12  ·  paper

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