Chris Hays

Chris Hays

jhays [at] mit [dot] edu

Google Scholar


Computation and Society blog

Hello! I am a PhD student in Social and Engineering Systems and Statistics at the MIT Institute for Data, Systems, and Society.

Broadly, I am interested in studying the effects of machine learning systems and digital platforms on society, and I am very fortunate to be advised by Manish Raghavan. My PhD is supported by an NDSEG fellowship.

In 2020, I graduated from Yale with a bachelor's degree in computer science.


(α-β = authorship ordered alphabetically; * = equal contributions)

Equilibria, Efficiency, and Inequality in Network Formation for Hiring and Opportunity
Cynthia Dwork, Chris Hays, Jon Kleinberg, Manish Raghavan.α-β
Working paper.

Content Moderation and the Formation of Online Communities: A Theoretical Framework
Cynthia Dwork, Chris Hays, Jon Kleinberg, Manish Raghavan.α-β
The Web Conference (WWW'24).

Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection
Chris Hays*, Zachary Schutzman*, Manish Raghavan, Erin Walk, Philipp Zimmer.
The Web Conference (WWW'23). Best paper award.

The Effect of the Rooney Rule on Implicit Bias in the Long Term
L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi.α-β
ACM Conference on Fairness, Accountability and Transparency (FAccT'21).

Last updated: 22 Feb 2024