Chris Hays

Hello! I am a PhD candidate 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.

Papers

(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
Economics and Computation (EC'24); Foundations of Responsible Computing (FORC'24; non-archival).

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); Foundations of Responsible Computing (FORC'24; non-archival). Oral presentation.

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).