In January, the NYPD said it would put two officers on every late-night subway car in New York City. How can we know whether the NYPD kept its promise?

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...

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 ASA's Law & Justice Statistics committee is hosting an upcoming webinar featuring George Mohler. Join us on September 30 from 1–1:30pm ET! Register here: amstat.zoom.us/webinar/regi...

Calling all professors—we're enrolling new courses in our ongoing randomized study of AI in education! Get free access to a customized virtual tutor, and receive an honorarium at the end of the semester if you participate. Details below.

Come join us and teach a great class this fall!

Great article about our work using generative AI to help prosecutors make race-blind charging decisions across California and beyond: www.law360.com/articles/235...

Job alert! We're hiring a clinical (teaching-based) Assistant Professor of Applied Statistics for Social Science Research at NYU! Application review begins on February 10, and the position would start on September 1. Apply here: apply.interfolio.com/162021

Yes to evaluating the *outcomes* of these systems rather than as a standalone algorithm! This is something that's been bothering me for a while about ML assisted decisions

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/)

Professor of Computational Social Science, T/TT and open rank Share this opportunity with your networks: apply.interfolio.com/160603 #AcademicSky #phdjobs #socjobs #ejme #econjobmarket #poliscijobs #computationalsocialscience #politicalscience #economics #sociology #AbuDhabi

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

In AI research, more and more of the action seems to be taking place above the foundation model layer and is closer to applications / people / societal impact. This kind of research strongly benefits from interdisciplinary thinking (though not all AI researchers have recognized the shift yet!)

We built a starter pack (a work in progress) of some people who know a lot about New York City policy — and assorted others of interest. go.bsky.app/FCDEhhc

🔬 Major new findings on STEM gender gaps: Looking across institutions over time, physics, engineering & computer science (PECS) show stark divides—gaps are closing at selective colleges but widening elsewhere. w/ @joalkhafajiking.bsky.social [<--🌟 on the job market 😉] www.science.org/doi/10.1126/...

PSA: to post to CSS feed, now use "compsocsci" rather css (we were getting all mixed in with the comicssky people ! bsky.app/profile/cbar...

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. Sign up by Dec. 16! pingpong.hks.harvard.edu/eduaccess

If you want to be rewarded with a surprise when your R script finishes running, try adding this at the end:

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!

The Stanford Report just featured our research on using automated reminders to reduce pretrial incarceration — alongside two other terrific Stanford Impact Labs funded efforts thinking about how to achieve both research impact and social impact!

We are working on two new experiments at the Santa Clara Public Defender Office. Check out this piece from Stanford Impact Labs to learn more! I'm so glad my colleague Sarah at the public defender was included to explain why this research is important to her. impact.stanford.edu/article/can-...

I forgot to add a #cssky tag! 💙🌌

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