Computational Policy Lab

At the Computational Policy Lab, we use technology to tackle pressing issues in criminal justice, education, voting rights, and beyond. Leveraging advances in data science, we study the impact of policy choices at unprecedented scales, and build algorithmic tools to guide high-stakes decisions. By bringing a computational perspective to public policy, we aim to improve the lives of millions of people — especially those affected by inefficient and unfair systems and practices.

A few of the lab’s flagship projects include:

Blind Charging: Mitigating bias in charging decisions with automated race redaction

Pretrial Nudging: Encouraging appearance in court using new techniques from reinforcement learning

Learn more about the Computational Policy Lab’s work at


Sharad Goel, PhD
Principal Investigator


Alex Chohlas-Wood

Joe Nudell
Lead Engineer


Reevaluating the Role of Race and Ethnicity in Diabetes Screening

The views expressed in Shorenstein Center Discussion Papers are those of the author(s) and do not necessarily reflect those of Harvard Kennedy School or of Harvard University. This paper was originally published here. Key Messages There is active debate over whether to consider patient race and ethnicity when estimating disease risk. By accounting for race

Read More »

Related Events

Decoding ChatGPT

This video on ChatGPT by Sharad Goel, Professor of Public Policy at Harvard Kennedy School, is an accessible to anyone curious about how ChatGPT works.

Read More »