Our paper “Inferring fine-grained migration patterns across the United States” is now out in @natcomms.nature.com! We released a new, highly granular migration dataset. 1/9

Excited to share a new working paper! What happened when Change.org integrated an AI writing tool into their platform? We provide causal evidence that petition text changed significantly while outcomes did not improve. 1/ arxiv.org/abs/2511.13949

Check out @isabelcorpus.bsky.social's fantastic thread on our paper studying the effects of a "write with AI" button on change.org! ✍️ Spoiler: the effects of AI aren't always positive.

#30DayMapChallenge day 20: water This map of Arsenic and Cadmium levels in Mexico's water show non-trace concentrations of Total and Soluble Arsenic and Cadium. Points are colored by the presence of high amounts of contaminants, and sized by their relative concentration. tinyurl.com/map20wtr

#30DayMapChallenge day 19: projections @jennahgosciak.bsky.social created a gif that visualizes NYC neighborhoods under different map projections. While most atrocities are clear only at national or global levels, her maps show interesting local deformities!

@jennahgosciak.bsky.social showed how LLM assistance can improve government caseworker accuracy in the context of SNAP eligibility questions. It was really cool to see Jennah + team get ahead of the ever-shifting technical capacity of LLMs by varying chatbot accuracy.

Had a great time at CODE@MIT this weekend, and wanted to highlight a few (of the many) cool talks!

For #30DayMapChallenge day 11, a minimal map from @kennypeng.bsky.social. Kenny extracts minimal elements from a not-as-minimal-as-it-seems object: the Manhattan street grid. "I show how Manhattan’s numbered grid of streets and avenues is more complicated than you might realize," he says.

#30DayMapChallenge day 9 asked us to get off our screens. @annaloganmc.bsky.social's "analog" map is a hand-painted postcard! 📫 "I chose to paint a postcard of a map of Ann Arbor where I currently live showing the Huron River!" she says

Day 7 of #30DayMapChallenge asked us to think about accessibility. @gsagostini.bsky.social considers two metrics of access simultaneously: distance to a Subway and distance to the subway.

#30DayMapChallenge day 6: dimensions Atmika Pai dove into the ArcGIS Unity SDK to see how architects & designers plan in 3D. She explored 15 features from geocoding to viewshed analysis, all in an immersive game engine! Here's a video teaser of her map.

Last week, we presented the work of our group at the EAAMO conference. So, for our delayed #30DayMapChallenge day 4 (my data) we created a map showing flows from some EAAMO contributors and attendees!

For day 5 of the #30daymapchallenge, I compared the original ecology of New York City with data from the Welikia Project to the present-day.

We might be a few days delayed on the #30DayMapChallenge, but our day 5 submission spans almost 250 years of history! Our "Earth" map comes from @jennahgosciak.bsky.social, who compared the original ecology of New York City to present day variables.

#30daymapchallenge day 1: Points For our first map, we had to visualize spatial data as dots. @gsagostini.bsky.social worked on a dot density map showing dog density in New York City. 1 dot = 1 dog 🐕🐩

#30DayMapChallenge day 2: Lines Atmika Pai interpreted lines in multiple ways. Her map shows how the lines we stand in to wait for the tramway (line) generate flows lines!

We are slowly catching up to the #30DayMapChallenge! In our day 3: polygons submission, @zhixuanqi.bsky.social questioned the boundaries and fuzziness of polygons with an animated map that invites us to think about the (not-so-well-defined) idea of neighborhoods.

To get this feed started, our group will be participating in the #30daymapchallenge! On (most) days of November we will be posting a new map, by a new author, on a new theme. First batch of maps incoming... 🗺️ 30daymapchallenge.com#maps-stats

I am on the job market this year! My research advances methods for reliable machine learning from real-world data, with a focus on healthcare. Happy to chat if this is of interest to you or your department/team.

I'm at Seattle 4S! I'll be part of the "Risks of 'Social Model Collapse' in the Face of Scientific and Technological Advances" panel Friday morning, discussing online community governance of AI-generated content. Would love to meet others studying AI's impact on the info ecosystem! #STS #4S

🏙️ Join us this semester if you are interested in urban data science. Our group is looking for new members!! 🌇

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

This Thursday at @facct.bsky.social, @jennahgosciak.bsky.social's presenting our work at the 10:45am "Audits 2" session! We collaborated across @cornellbowers.bsky.social, @mit.edu, & @stanfordlaw.bsky.social to study health estimate biases from delayed race data collection: arxiv.org/abs/2506.13735

Excited to share our work on the impact of reporting delays on disparity audits in healthcare 😄 Project started at the Stanford RegLab Summer Institute last year, and continued with an amazing group of collaborators! @jennahgosciak.bsky.social will present this at FAccT -- do drop by if attending!

I am presenting a new 📝 “Bias Delayed is Bias Denied? Assessing the Effect of Reporting Delays on Disparity Assessments” at @facct.bsky.social on Thursday, with @aparnabee.bsky.social, Derek Ouyang, @allisonkoe.bsky.social, @marzyehghassemi.bsky.social, and Dan Ho. 🔗: arxiv.org/abs/2506.13735 (1/n)

I am so excited to be in 🇬🇷Athens🇬🇷 to present "A Framework for Auditing Chatbots for Dialect-Based Quality-of-Service Harms" by me, @kizilcec.bsky.social, and @allisonkoe.bsky.social, at #FAccT2025!! 🔗: arxiv.org/pdf/2506.04419

🎉Excited to present our paper tomorrow at @facct.bsky.social, “Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese”, with @brucelyu17.bsky.social, Jiebo Luo and Jian Kang, revealing 🤖 LLM performance disparities. 📄 Link: arxiv.org/abs/2505.22645

It was a pleasure to present our (@jennahgosciak.bsky.social @tungdnguyen.bsky.social @informor.bsky.social) large-scale study of Reddit community's AI rules in the AI Ethics and Concerns session at #CHI25! The paper is now available open access in the ACM library: dl.acm.org/doi/10.1145/....

[New preprint!] Do Chinese AI Models Speak Chinese Languages? Not really. Chinese LLMs like DeepSeek are better at French than Cantonese. Joint work with Unso Jo and @dmimno.bsky.social . Link to paper: arxiv.org/pdf/2504.00289 🧵

*NEW DATASET AND PAPER* (CHI2025): How are online communities responding to AI-generated content (AIGC)? We study this by collecting and analyzing the public rules of 300,000+ subreddits in 2023 and 2024. 1/

*NEW PAPER* How are online communities adapting to the presence of AI-generated content (AIGC)? To answer this question we collected the community rules for 300,000 public subreddits and identified rules governing the use of AI. /1