#QJE May 2024, #2, “Machine Learning as a Tool for Scientific Discovery,” by Ludwig (Jens Ludwig) and Mullainathan (@m_sendhil): doi.org/10.1093/qje/qj…

On Danny Kahneman and 'angry science.' Samantha Power Arabella Pike Barack Obama John Tasioulas Richard H Thaler Piper Perabo Dilip Soman 🇨🇦 Liam Delaney 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 affective.brain Stephen E. Sachs Mia Farrow 🏳️‍🌈 🌻🇺🇸💙
nytimes.com/2024/04/01/opi…

Many of you will share tributes today to Danny Kahneman, highlighting how he informed your work or paved the way for your career, and so on.

Today I would like to honor DK for financing my relationship and eventual marriage to Carey Morewedge (1/n)

So excited and so very humbled to be stepping in to head AI Safety and Alignment at Google DeepMind. Lots of work ahead, both for present-day issues and for extreme risks in anticipation of capabilities advancing.

I'm hiring a #predoc to work with me at Harvard finance/macro/behavioral, and/or on Machine Learning (also with my great coauthors Ralph S.J. Koijen Motohiro Yogo Rob Richmond), starting in the summer 2024! Apply here: rb.gy/s2zwo3
Econ RA Listings PREDOC.org

Language models’ pretraining data includes information about historical events

When we use LLMs to make economic predictions, do they leak information about the future?

Keyon Vafa and I develop tests that find evidence of lookahead bias in LLMs, and identify ways forward (1/n)

Check out our sweeping 5-episode story on the growth and influence of behavioral economics

I was excited to produce this as a Opinion Science (a podcast)-Behavioral Grooves Podcast collaboration

The full series is here (opinionsciencepodcast.com/episode/they-t…) + the Opinion Science or Behavioral Grooves podcast feed

Are algorithms overhyped? New research from Harris Policy's Jens Ludwig, Chicago Booth's 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧, & Ashesh Rambachan on the effectiveness of algorithms for addressing public policy problems suggests the opposite:

ow.ly/HhFZ50QGI9o

Here's the video of the lecture: youtube.com/watch?v=HAiXT1…

The more I work on AI policy questions and interact with policy makers in Washington, Brussels, London, and Ottawa, the more conviction I have that THE MOST CRITICAL MISSING VOICES ARE FICTION WRITERS. I've come to believe that novelists will be more important in the coming

Very proud of this paper. Also noting that Homa, Amir Ghasemian, and Manoel are all on the job market! All three are outstanding so please reach out if interested.

Although I know it's unfashionable to be optimistic about AI's potential for work and workers, here's why I think AI offers the labor market a great opportunity

🗓️This Wednesday: the SRI Seminar Series welcomes Jon Kleinberg of Cornell Computer Science for a talk on user preferences and UX. Feb. 14, 12:30pm ET.

💡Talk: “The challenge of understanding what users want: Inconsistent preferences and engagement optimization.'

🔗uoft.me/abR

Calculating the social return on algorithmic interventions, specifically their Marginal Value of Public Funds, across multiple domains — regulation, criminal justice, medicine, and education, from Jens Ludwig, 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧, and Ashesh Rambachan nber.org/papers/w32125

New working paper, 'The Unreasonable Effectiveness of Algorithms,' by Harris Policy's Jens Ludwig & Chicago Booth's 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧 calculates the social return on algorithmic interventions across multiple domains of interest to economists.

Calling all postgrads 🔊 Apply for the Machine Learning in Economics Summer Institute 2024 to work with leading researchers from top institutes to push forward cutting-edge research ideas.

Find more information and the application at the link below:

buff.ly/3mm92Ls

A new frontier in behavioral science: Why do we stop noticing things that are great? Why do we stop noticing things that are horrible? Dilip Soman 🇨🇦 Paul Krugman Aimee Mann Claire Lehmann John Tasioulas 𝐒𝐞𝐧𝐝𝐡𝐢𝐥 𝐌𝐮𝐥𝐥𝐚𝐢𝐧𝐚𝐭𝐡𝐚𝐧
amazon.com/Look-Again-Pow…

Recently accepted by #QJE , “Machine Learning as a Tool for Scientific Discovery,” by Ludwig (Jens Ludwig) and Mullainathan (@m_sendhil): doi.org/10.1093/qje/qj…

I have an article in the New England Journal of Medicine NEJM about accuracy and equity in risk prediction, based on my own experiences as a patient. Thanks to colleagues, family, peer reviewers, and editors for very helpful comments.

nejm.org/doi/full/10.10…

When January 1st falls on a Monday it’s a double fresh start. Read about the science of New Year’s resolutions and the broader phenomenon they represent in this pair of research papers by Hengchen Dai, Jason Riis and yours truly. #NewBeginnings2024