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We are also open to suggestions for editors from other social science disciplines, industry researchers, and ideas for exciting sessions on AI and social science methods!
The discussion will focus on how journals evaluate AI-enabled research and emerging standards for transparency, replication, and methodological innovation.
Another highlight: We will host a panel on publishing AI research, featuring editors from American Sociological Review, American Journal of Political Science, Management Science, and Sociological Methodology.
📩 Submit your work:
yalefds.swoogo.com/socialscienc...
Please share with colleagues working at the AI × social science frontier!
Call for Submissions: AI for Social Science Methodology (Yale)
• Keynote: @nachristakis.bsky.social
• Panel with editors of leading journals on publishing AI research
• Mentoring roundtables for early-career scholars
• Generous travel support
Discussion-driven, high-quality research.
Travel support will be provided for all speakers, along with dedicated mentoring opportunities for early-career scholars.
More details coming next week — stay tuned!
Save the date! I’m excited to be co-organizing this workshop with Daniel Karell (Yale Sociology), Harsh Parikh (Yale Biostatistics), and Tong Wang (Yale SOM Marketing). We’re especially eager to feature work using AI to advance social science methodology.
Yale FDS Conference on May 21-22: AI for Social Science Methodology. Registration is opening soon.
Social Security spousal and survivor benefits are built on marital duration and continuity. When partnership trajectories diverge, access to these protections does too, contributing to racial disparities in retirement security.
Paper: read.dukeupress.edu/demography/a...
Partnership histories are far more dynamic, especially for Black older adults, who are less likely to experience continuous marriage and co-residence.
This matters well beyond family structure.
New paper out in Demography. We revisit one of the field’s core assumptions that people remain continuously married and living with a spouse across later life and show that this pathway is no longer the dominant one.
You still have 2 weeks to submit your work!
If you’re working on something new, or have a project that could benefit from interdisciplinary feedback, we’d love to see it. And even if you’re not submitting, please consider joining us for what should be a lively and generative conversation.
Hope everyone is having a restful break! A reminder that you still have two full months to submit to our upcoming workshop “New Data, Methods, and Theory: Life-Course Cognitive Inequality”, to be held at Yale on May 11–12, 2026.
🗓 Submission deadline: March 1, 2026
📩 Decisions: March 9, 2026
Jan 21-24 (tentative): The Inaugural Global Fertility Crisis Forum (Hong Kong)
Jan 29-30: The Jimmy Carter Forum on U.S.-China Relations (Atlanta, Georgia)
Hope to catch up with some old friends and meet new ones!
Travel Plans in Dec and Jan:
Dec 9: NYC Reducing Inequality Network (NYU)
Dec 10-11: Asia Society annual meeting (NYC)
Organizing Committee
Emma Zang, Yale University
Becca Levy, Yale University
Xi Chen, Yale University
Deborah Carr, Boston University
Hui Zheng, University of Toronto
[Call for Extended Abstracts/Papers] New Data, Methods, and Theory: Life-Course Cognitive Inequality
We are inviting submissions for the interdisciplinary conference New Data, Methods, and Theory: Life-Course Cognitive Inequality, to be held at Yale University on May 11-12, 2026.
If I ever teach PhD formal demography, I’m definitely putting this in the problem set. It’s too good not to. 😄
And if you try to “just simulate it,” the result depends on how many families you draw. With a finite N you might get something that looks close to 0.5, but it’s always a bit above 0.5. Simulation will happily mislead you if you let it.
Many people gave the wrong answers because they assumed: E[G/(G+B)] = E[G] / (E[G] + E[B]), which is not true. The quick intuition: once family sizes vary, each family contributes differently to the population ratio, so you can’t just take expectations on the top and bottom and call it a day.
[Due to huge interests in this, I post it here as well] I came across this interesting demography problem on X. It looks obvious until you actually think about it. And if you ask GPT, it will not give you the correct answer!
Thrilled to be serving on the postdoc selection committee this year! If you’re working on social applications of LLMs or causal inference using observational data, I’d love to see your application!
I talked about the fertility issues in China in this article:
www.bloomberg.com/news/article...
See many of you next Friday!
The Hoover Institution was a beautiful setting, and the organizing team was fantastic. I’m already planning to join again next year. Hope to see more demographers and sociologists there!
Had a great time at the Remote Work Conference last week! It’s been a while since I’ve attended such an intellectually stimulating and welcoming event.