๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
applications for slingshots more than doubled from batch 3 to batch 4. funding open science is critical to democracy. never in the past have scientists had to turn down so much money to do research they can talk about openly. top PhD students are receiving offers of millions of dollars per year from closed labs. i'm proud that at Laude we support open research. great work on slingshots batch four @bradenhancock and the @laudeinstitute team
Introducing Slingshots // FOUR: 14 projects across eight top institutions. Self-improving agent systems and harnesses, maximally-open models and training data, applications for research and decision-making โ€“ plus kernels and more. Say hello to the batch ๐Ÿงต
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
A test score is a summary. What can we learn from the information behind it? @LMiratrix will facilitate a discussion grounded in recent work by @jmb112485, @jensottoludwig, @m_sendhil, & more to explore how we measure & interpret student achievement. buff.ly/15BY4Oe
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
#AcademicX: Let me tell you about Sophia Pink ๐ŸšจMANAGEMENT JOB CANDIDATE๐Ÿšจ If you're in a b-school management department and hiring, she's a star you won't want to miss! Sophia Pink (sophiapink.com) is a PhD candidate at @Wharton. She does incredible research on decision making and goal pursuit in organizations. Sophiaโ€™s record is mind-bogglingly good (she was a productive RA before joining our program!): she has *9* publications in top journals like Organization Science, Management Science, Science, PNAS and JESP as well as an exceptional pipeline of great papers including an extraordinary, unpublished job market paper about an ambitious new field experiment on LinkedIn. I've posted the abstract from her job market paper below. Sophiaโ€™s work answers important questions about decision making, goal pursuit, and choice architecture in the age of AI. She is skilled at running both field experiments (with and without corporate partners) and lab experiments. And sheโ€™s a terrific communicator. It has been an honor and joy to advise Sophia Pink alongside an incredible group of supporting mentors including but not limited to the amazing @m_sendhil, @ME_Schweitzer, @amywrzesniewski, @angeladuckw, @edwardhchang, and @erika_kirgios. #HireThisOne | #WhartonProud
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
Can ML generate theoretical insight, not just predictions? Our procedures turn predictive models into anomaly generators, producing minimal cases existing theory can't explain. We apply it to revisit choice under risk. @m_sendhil @asheshrambachan econometricsociety.org/publiโ€ฆ
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
The 2026 volume of the Annual Review of Economics is now online. Take a look at the most read article, "Large Language Models: An Applied Econometric Framework" by @jensottoludwig, @m_sendhil, and @asheshrambachan bit.ly/4wI35an
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
Replying to @TheEconomist
.@TheEconomist is a great publication, and Iโ€™ve learned a lot from it over the years. But I think it missed the mark with this article on @DAcemogluMIT. Daron and I publicly and privately disagree on a number of important issues, most notably on the likely magnitude of AIโ€™s productivity effects in the coming years. Weโ€™ve had many lengthy discussions about our differences, including as recently as last month. That said, Daron is not merely one of the most intelligent, interesting, and hardworking economists I know. He is also a person of great integrity. Since many people may form their impressions of him from this article or other public commentary, let me offer three anecdotes from my own experience. 1. In 2017, @tommmitchell and I co-chaired a @theNASciences committee on information technology and the workforce, bringing together a dozen leading scholars. Committee members were unpaid, and there was little extrinsic reward for doing more than the minimum. Everyone contributed, but unquestionably the person who worked hardest, and produced the most high-quality substantive material, was Daron. I came away enormously impressed by his seriousness and work ethic. 2. The article suggests that Daronโ€™s stature may discourage others from criticizing him. That has not been my experience. I remember an MIT seminar where he presented an early version of his work on robots and employment. He was subjected to exceptionally tough criticism from colleagues and graduate students, especially over his instrumental variables and other aspects of his empirical strategy. It was one of the toughest seminars I can remember. Nobody was pulling punches. If anything, the criticism was blunter because everyone knew Daron was perfectly capable of handling it. 3. Along with @professor_ajay, @akorinek, and @testingham, I helped lead the recent โ€œWe Must Act Nowโ€ statement on AI (wemustactnow.ai/). One of the first people we approached was Daron precisely because he had disagreed with me about AI capabilities and their likely economic effects. Daron and I went back and forth over the detailed wording for about a week. We ultimately found common ground. In the process, I was reminded of both his openness to new data and his attention to detail. The Economist correctly highlights some important weaknesses in the economics profession. It should certainly scrutinize the work of prominent economists, presenting arguments and counterarguments. In my view, what undermined their case was the articleโ€™s shift from criticizing his arguments to innuendo about Daron's personality. The suggestion that economists are unwilling to challenge him does not match what I have observed over 3 decades of knowing him. Criticize Daronโ€™s ideas and conclusions, as I often do. But the personal insinuations struck me as unfair.
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Melissa Dell, Harvard University, and Ashesh Rambachan, Massachusetts Institute of Technology, presented the 2026 Methods Lecture on "Estimation and Inference with AI-Generated Data". youtube.com/watch?v=ydYXe2Fxโ€ฆ
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
Economics has a lamppost problem: we study what our data already measure. Unstructured data and AI will change that and that will be transformative. I'm excited to give the NBER Methods Lecture with @MelissaLDell this Thursday: "Estimation and Inference with AI-Generated Data."
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
My new book #WhatHappenedToLiberalDemocracy is out on August 11. Here is a brief message about my motivation for writing this book and its central thesis. Pre-order links are available here: shapingwork.mit.edu/what-hapโ€ฆ. I hope you will join me in the discussion.
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Thrilled to share I'll be joining UC Berkeley next year as an assistant professor in @UCBStatistics and affiliated with @Berkeley_EECS. My research will build methods to test/improve the implicit world models of AI systems, so that they reflect reality and human understanding.
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1/3 Excited to share a paper 5 years in the making, now out in @PNASNews. We asked how does past exposure to violence shape the way people think in social situations, and how does that thinking drive future involvement in violence?
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Really looking forward to this panel on AI + Science at Oxford. May 19 at 5pm. Please come!
How is AI reshaping scientific discovery? Join Prof. Sendhil Mullainathan (MIT & Oxford), Sir Nigel Shadbolt (University of Oxford) & Dr Raia Hadsell (Google DeepMind) for a panel at the University of Oxford. Free Registration: tinyurl.com/ahfhj3x6
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AI is changing economics, and --- as we just saw in Dwarkesh's interview with Dario --- AI researchers need to start thinking about economics too! The Center for Applied AI at UChicago will be hosting an AI & Economics Summer Institute to explore exactly this. We will bring together leading researchers with advanced graduate students in economics/AI/ML/NLP for an in-person program between Aug 6 - 11.
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
We have a ๐Ÿ“ข Call for Papers out for our *AI and Society* conference (๐Ÿ—“๏ธ 11-12 June 2026, @Unibocconi). Keynote lecture by the one and only @m_sendhil! Looking forward to your submission, details below! (Papers on AI research methods or AI econ/social impact are all welcome.)
๐Ÿ“ฃ Call for Papers: AI and Society Conference ๐Ÿ—“๏ธ 11โ€“12 June 2026 at Bocconi University Submit full papers: bocconi.eu.qualtrics.com/jfeโ€ฆ Please share with colleagues & students!
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
ON PREFERRING PEOPLE TO ALGORITHMS - years in the making, just out in my favorite (and in important ways the best) academic journal. @WKipViscusi @m_sendhil @UncertaintyRisk link.springer.com/article/10โ€ฆ
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
A new op-ed from Richard Locke, Dean of @MITSloan, highlights research from our co-directors @DAcemogluMIT, @baselinescene, and @davidautor and our affiliate @m_sendhil on choosing a pro-human path for AI. mitsloan.mit.edu/ideas-made-โ€ฆ
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
New research finds that valuable education data is being wasted: Large gains are possible at nearly zero cost simply by better leveraging all of the test items currently collected, from @jmb112485, Michael Gilraine, Jens Ludwig, and @m_sendhil nber.org/papers/w34484
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
I'm on the academic job market! I design and analyze probabilistic machine-learning methods---motivated by real-world scientific constraints, and developed in collaboration with scientists in biology, chemistry, and physics. A few highlights of my research areas are:
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
We're building the wrong AI, @m_sendhil told a crowd at @UWMadison Thursday. Mullainathan outlined his vision for a more beneficial AI at a sold-out event hosted by @UWLaFollette. Learn more in my latest for @CapTimes captimes.com/news/education/โ€ฆ
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๐’๐ž๐ง๐๐ก๐ข๐ฅ ๐Œ๐ฎ๐ฅ๐ฅ๐š๐ข๐ง๐š๐ญ๐ก๐š๐ง retweeted
Workshop announcement! Send us your best papers or abstract if you want to present/discuss with others interested in HISTORY LLMs -- large language models trained or fine-tuned for historical contexts. @ellliottt @aadukia @m_sendhil
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