Johan Ugander

@jugander.bsky.social

Associate Professor, Yale Statistics & Data Science. Social networks, social and behavioral data, causal inference, mountains. https://jugander.github.io/

I don’t think I’ve posted about this yet, but I’ve been using the LLMs to make a math/technical presentation tool that does latex and “live demos” (usually written by an LLM). Feel free to check it out eigendeck.dev … it should work on mac, windows, and linux, but I work mostly on mac.

Write-up describing results from a randomized experiment at Stanford Stats on adding Oxbridge-style tutorials to an undergraduate probability class. Large positive effect size on exam grades. Short paper, worth reading if thinking about teaching in the age of AI.

What's Old Is New: Improved Learning from Small-Group Tutorials

The ubiquity of Large Language Models poses a challenge to student learning in homework-based college courses, where access to easy homework answers devalues the intended productive struggle. To addre...

arxiv.org

📣 Postdocs at Yale FDS! 📣 Tremendous freedom for work on the foundations of data science with faculty across campus, multi-year, great salary. Deadline 11/6. Spread the word! Application: academicjobsonline.org/ajo/jobs/32396 More about Yale FDS: fds.yale.edu

Yale University, Institute for the Foundations of Data Science

Job #AJO32396, Postdoc in Foundations of Data Science, Institute for the Foundations of Data Science, Yale University, New Haven, Connecticut, US

academicjobsonline.org

X's Community Notes are increasingly submitted by AI writers. In a new preprint, X open-sourced its Community Writer tool. A dive into the data underpinning it revealed that in Sept, six AI writers run by X's team wrote 90%+ of all AI-written notes, and 55% of notes that showed up on posts.

Bild

Virginia Vassilevska Williams wrote some thoughts about the 3-SUM breakthrough Josh Alman and her wrote an exposition of, how it happened, what it means, and some context about 'what could have been' in a world with more time and fewer models. Read it here: people.csail.mit.edu/virgi/though...

https://people.csail.mit.edu/virgi/thoughts.txt

A week has passed since Josh and I posted our write-up on the arXiv, and I decided to write a few things. Much was said about our write-up. Some were excited, others enraged. Most everyone was scar...

people.csail.mit.edu

Yale Statistics & Data Science is running an open-rank faculty search (Asst/Assoc/Full), focused on "Applied Data Science". I moved to Yale 2y ago and am very happy here! Feel free to reach out to me if you have questions. Review begins 11/1. statistics.yale.edu/assistantass...

Assistant/Associate/Full Professor, Applied Data Science

The Department of Statistics and Data Science at Yale is seeking applicants for an assistant/associate/full professor, Applied Data Science.

statistics.yale.edu

Trump renaming things seems profoundly stupid, and it is. It's also a classic strongman move. Turkmenistan's dictator renamed "April" and "bread" after his mother. Mussolini renamed "bar" and "sandwich" to made-up words so people could tell which bars and paninis were fascist. Much like SpaceXSI.

Screenshot of a post from Donald J. Trump (@realDonaldTrump), white text on a dark background, with his flag-themed profile photo. The post reads, "The White House considers anyone that uses the term, "Artificial Intelligence," as opposed to the highly accepted new and more accurate term, "Super Intelligence," THE ENEMY! President DONALD J. TRUMP"

I've heard a lot of sad voices in our community who are "depressed" and "completely crushed" by the new wave of AI results. I'm actually very optimistic. I don't have particularly good rationales, but emotionally speaking, let me try to infect you with a bit of my optimism if you need it. 1/n

Nikole Hannah-Jones w/ a sobering follow-up on her decision yrs ago to enroll her daughter in a poor, majority-Black public school rather than a wealthier, whiter private school. You leave heartbroken for the kids being failed by this grossly unequal system. www.nytimes.com/2026/09/20/m...

In Fighting for Every Black Child, Did I Betray My Own? (Gift Article)

A decade ago, I made a decision about my daughter’s education that I hoped would challenge New York City’s separate and unequal school system. Now 16, she thinks I made the wrong choice.

nytimes.com

Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.

Transactions on Machine Learning Research@tmlrorg.bsky.social · 2mo ago

TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...

An interesting thing is happening to me at the moment. I have a standing bug bounty policy for my first authored scientific work. That means, I've committed to pay people who report bugs in my code, up to 750€ for severe errors. Since GPT-6 Astra came out, I'm now getting several bug reports daily.

News so big that Donald Trump had to upstage it by renaming Lake Ontario: ethanzuckerman.com/2026/08/27/m... (TL;DR) I will be starting a new lab at McGill University in Montreal next summer as Goldenberg Chair in the Digital Public Sphere.)

My personal contribution to the US/Canada trade war - Ethan Zuckerman

I've accepted a position at McGill University and will be moving my lab there from UMass in summer 2027... with excitement and some sadness.

ethanzuckerman.com

📰 Our piece with @ziv-e.bsky.social and @mbernst.bsky.social in The Conversation today. Feed algorithms optimize for engagement behavior because it is easy to measure. The result is that the values amplified in people's feeds are misaligned with what they value. theconversation.com/why-social-m...

Why social media algorithms send you posts you don’t like

Algorithms on X tend to bring you posts that contradict your values, and it happens more to Democrats than Republicans.

theconversation.com