Social media feeds today are optimized for engagement, often leading to misalignment between users' intentions and technology use. In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement. arxiv.org/abs/2509.10776

📣 Yale workshop, Oct 16-17! 📣 How could/should content ranking work? What's new in content moderation? How can platforms promote civility? Hosted by Yale's Institute for Foundations of Data Science (FDS). Great speakers! Submit posters by 9/22! Spread the word! yalefds.swoogo.com/socialalgori...

Are you a researcher using computational methods to understand cities? @mfranchi.bsky.social @jennahgosciak.bsky.social and I organize an EAAMO Bridges working group on Urban Data Science and we are looking for new members! Fill the interest form on our page: urban-data-science-eaamo.github.io

*Proud advisor moment* My (first) PhD student Zhi Liu (zhiliu724.github.io) is 1 of 4 finalists for the INFORMS Dantzig Dissertation Award, the premier dissertation award for the OR community. His dissertation spanned work with 2 NYC govt agencies, on measuring and mitigating operational inequities

Please share! We're trying to crowd-source a dataset of post-1929 novels with maps.

I've really been enjoying this feed!

🚨 New postdoc position in our lab at Berkeley EECS! 🚨 (please reshare) We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences! More info in thread 1/3

**Please repost** If you're enjoying Paper Skygest -- our personalized feed of academic content on Bluesky -- we'd appreciate you reposting this! We’ve found that the most effective way for us to reach new users and communities is through users sharing it with their network

Apply for funding to work with me and Gord at Cornell!

In a new paper with @didaoh and Jon Kleinberg, we mapped the family trees of 1.86 million AI models on Hugging Face — the largest open-model ecosystem in the world. AI evolution looks kind of like biology, but with some strange twists. 🧬🤖

New piece, out in the Sigecom Exchanges! It's my first solo-author piece, and the closest thing I've written to being my "manifesto." #econsky #ecsky arxiv.org/abs/2507.03600

A thoughtful new perspective from @kennypeng.bsky.social and @rajmovva.bsky.social et al. on why (and when) we should be excited about sparse autoencoders! arxiv.org/abs/2506.23845

How do we reconcile excitement about sparse autoencoders with negative results showing that they underperform simple baselines? Our new position paper makes a distinction: SAEs are very useful for tools for discovering *unknown* concepts, less good for acting on *known* concepts.

After having such a great time at #CHI2025 and #FAccT2025, I wanted to share some of my favorite recent papers here! I'll aim to post new ones throughout the summer and will tag all the authors I can find on Bsky. Please feel welcome to chime in with thoughts / paper recs / etc.!! 🧵⬇️:

Are LLMs correlated when they make mistakes? In our new ICML paper, we answer this question using responses of >350 LLMs. We find substantial correlation. On one dataset, LLMs agree on the wrong answer ~2x more than they would at random. 🧵(1/7) arxiv.org/abs/2506.07962

I can’t believe I’m saying this: our work received a Best Paper Award at #CHIL2025!! So so excited and grateful 🥰 Looking forward to day 2 of the conference with these awesome people :)

New work 🎉: conformal classifiers return sets of classes for each example, with a probabilistic guarantee the true class is included. But these sets can be too large to be useful. In our #CVPR2025 paper, we propose a method to make them more compact without sacrificing coverage.

Let us know if you have thoughts!

One thing Bluesky has is the number of people building on it -- we had a ~20 person meetup @cornelltech.bsky.social yesterday, with folks building labelers, feeds, doing data science. Excited for the future if we can get there! Thanks @mantzarlis.com @informor.bsky.social for coorganizing w/ me

We (with @sjgreenwood.bsky.social @paper-feed.bsky.social) launched a new feed: Paper Skygest Bookmarks. This captures all posts about papers that you've liked on Bluesky. bsky.app/profile/did:...

I’m really excited to share the first paper of my PhD, “Learning Disease Progression Models That Capture Health Disparities” (accepted at #CHIL2025)! ✨ 1/ 📄: arxiv.org/abs/2412.16406

Migration data lets us study responses to environmental disasters, social change patterns, policy impacts, etc. But public data is too coarse, obscuring these important phenomena! We build MIGRATE: a dataset of yearly flows between 47 billion pairs of US Census Block Groups. 1/5

Great guide, and really glad to see Paper Skygest (bsky.app/profile/did:...) make an appearance!

Mike spotted this before the rest of us. 🫡 Publications from 2025 are shared more on Bluesky than on X/Twitter.

Please repost to get the word out! @nkgarg.bsky.social and I are excited to present a personalized feed for academics! It shows posts about papers from accounts you’re following bsky.app/profile/pape...

🔈 PSA if you use custom feeds! If your Settings>Language>Content Languages is set to English (the default), you may be missing posts. There are some English-language posts that are missing a language field in their record, and Bluesky will filter these out of your feeds.

Now online @pnasnexus.org! Many discrimination auditing and electoral tasks use ML to predict race/ethnicity – by discretizing continuous scores. Can the discretization process cause bias in labels and downstream tasks? Yes! Led by @evandyx.bsky.social academic.oup.com/pnasnexus/ar...

In new work, we show a "No Free Lunch Theorem" for human-AI Collaboration (w/ @nkgarg.bsky.social and Jon Kleinberg). (And if you're at #AAAI, I'm presenting at 11:15am today in the Humans and AI session. Poster 12:30-2:30.) arxiv.org/abs/2411.15230

A coming flood of federal grant proposals will claim AI makes projects cheaper & better. Many will be empty promises. This admin needs to place the best bets it can on AI. For the Federation of American Scientists' Day One Project, my memo on AI grant governance fas.org/publication/...

I'm excited to use my first post here to introduce the first paper of my PhD, "User-item fairness tradeoffs in recommendations" (NeurIPS 2024)! This is joint work with Sudalakshmee Chiniah and my advisor @nkgarg.bsky.social Description/links below: 1/

This year’s SIGecom job market candidate profiles are now available. Please share the following link with anyone you think may be interested in hiring from our community in either postdoctoral or faculty positions: www.cs.drexel.edu/~vg399/SIGec...