@comppolicylab
We're a team of researchers and data scientists who use computational approaches to address issues in criminal justice, education, voting rights, and beyond. https://policylab.hks.harvard.edu/
📢 Instructors at 2- and 4-year colleges! Give students free access to a virtual tutor optimized for teaching and learning by joining our study—now continuing into Spring 2026. Eligible instructors receive a $1,000 honorarium.
Sign up by 12/17 for priority review:
pingpong.hks.harvard.edu/eduaccess
A hand holding a smartphone displaying a court date reminder on screen.
Have you ever forgotten an important date—like a birthday for a loved one?
Now imagine if forgetting meant ending up in jail.
Two years ago, we ran a randomized experiment that found that text message reminders reduce jail stays for missed court dates by over 20%.
The Computational Policy Lab is growing! We’re hiring software engineers to build technology that makes government, education, and social programs more fair, effective, and data-driven. Know someone who'd be a great fit? Learn more: careers.harvard.edu/job/software...
📝 Still accepting applications! Instructors at 2- and 4-year colleges: give your students free access to a virtual tutor optimized for learning by taking part in our study on using AI to improve education. Instructors receive a $1,000 honorarium.
Apply here: pingpong.hks.harvard.edu/eduaccess
Instructors at 2- and 4-year colleges! Give your students free access to a virtual tutor optimized for learning by taking part in our study on using AI to improve education. Instructors receive a $1,000 honorarium.
Apps received by 8/8 receive priority: pingpong.hks.harvard.edu/eduaccess
(2/2) With TV still the dominant news source for Americans, these shifts raise key questions about the role of broadcast news in shaping voter knowledge and political engagement.
📖 Read more here: papers.ssrn.com/sol3/papers....
(1/2) Our own Johann Gaebler and @5harad.com, w/coauthors @seanjwestwood.bsky.social & Shanto Iyengar, analyzed 50+ years of US TV news using a novel LLM-based classification system. They find a steep decline in in-depth political coverage & substantive reporting, while soft news & commercials rise.
A screenshot of the first page of our paper, Learning to Be Fair, showing the title and abstract.
NEW in Management Science!
My coauthors and I came up with a new consequentialist approach to designing equitable algorithms.
Instead of imposing fairness criteria on an algorithm (like equal false negative rates), we aim for good outcomes.
More in the 🧵 below! (1/)
🚨 Excited to share our new article in @annualreviews.bsky.social. Working with Kristin Linn, @5harad.com, Amol Navathe, and Ravi Parikh, we examine the fairness debates of seven prominent and controversial healthcare algorithms.🧵 madisoncoots.com/files/racial...
Less than one week to join our study on using AI to improve education! Give your students access to a free virtual tutor & receive a $1,000 honorarium.
Apps open for college instructors (esp. those teaching math, comp science, stats, & econ) until Dec 16: zurl.co/WitA
The use of race in clinical risk models is heavily debated. While race-aware models can be more accurate, some are concerned about reinforcing racialized views of medicine. In our paper, we offer a new perspective on this debate. 🧵👇https://annals.org/aim/article/doi/10.7326/M23-3166
Calling instructors at 2- and 4-year colleges!
Give your students free access to a virtual tutor optimized for learning by taking part in our study on using AI to improve education. Learn more and sign up by Dec. 16: zurl.co/WitA
One month left to apply to our new PhD program in statistics and computational social science. Come join me and my terrific colleagues in the heart of New York City!
Call for papers! Behavioral Science & Policy is running a special issue on behavioral insights for AI policy. Great opportunity to reach policymakers.
Initial submissions just require a 500-word abstract by Dec. 1.
Please help us get the word out!
behavioralpolicy.org/wp-content/u...
In a new randomized experiment at the Santa Clara County Public Defender Office, my colleagues and I found that text message reminders reduce *incarceration* for missed court dates by over 20%! More in the 🧵 below. alexchohlaswood.com/assets/paper... 1/11