iiinova — where your digital self keeps evolving

Reposted by @davidbroska.bsky.social

Julian Berger @officialberger.bsky.social · 22/09/2026

New paper out in @pnas.org 🚨 Human learning is an understudied but promising lever for boosting human–AI synergy @jasonburton.bsky.social @ralfkurvers.bsky.social @stefanherzog.bsky.social @dirkwulff.bsky.social

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NEP-SPO: Sports and Economics @repec-nep-spo.bsky.social · 13/07/2026

A many-designs study of 516 algorithms challenges the predictability of wisdom of the crowd forecast aggregation: WoCCAP consortium

d.repec.org

NEP/RePEc link

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RigorLabs @rigorlabs.bsky.social · 29/06/2026

AUTOMATING COMPUTATIONAL REPRODUCIBILITY My colleague @philipjakobbln.bsky.social and I are currently engaged in a research project where we reproduce scientific results en masse. To that end, we built rigor.me, a platform for automatically reproducing papers using agents 🧵

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davidbroska.bsky.social @davidbroska.bsky.social · 28/05/2026

Americans say they want less inequality. Why don’t they support policies to reduce it? New paper: across 31 nationally representative survey waves (N=384,248) and a preregistered experiment (N=1,009), Americans favor PREdistributive over REdistributive policies 🧵 osf.io/preprints/so...

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Moritz Marbach @moritz-marbach.com · 15/04/2026

🚨New Paper in PNAS: "Refugee Labor Market Integration at Scale: Evidence from Germany’s Fast-Track Employment Program" www.pnas.org/doi/10.1073/... Ungated preprint osf.io/preprints/socarxiv/px9ew_v3 w/ J Hainmueller, D Hangartner, @niklas-harder.bsky.social & E Vallizadeh #econtwitter #econsky

pnas.org

Refugee labor market integration at scale: Evidence from Germany’s fast-track employment program | PNAS

Governments face persistent challenges in integrating refugees into the local labor market, and many past interventions have shown limited impact. ...

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davidbroska.bsky.social @davidbroska.bsky.social · 19/01/2026

First day of my research visit at Oxford! Many thanks to @zparolin.bsky.social for the generous invitation. I’ll be presenting on simulating human behavior with LLMs on Jan 28 at the @nuffieldcollege.bsky.social Sociology Seminar. If you’ll be around Oxford, feel free to reach out!

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davidbroska.bsky.social @davidbroska.bsky.social · 19/12/2025

Effect sizes in social science survey experiments are typically small, requiring large samples and budgets for sufficient statistical power. It gets even trickier because increasing n/$ yields only diminishing returns to statistical power. This study points to an important barrier to credibility👇 1/

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davidbroska.bsky.social @davidbroska.bsky.social · 18/12/2025

To simulate-then-validate, to validate-then-simulate, or to calibrate: that is the question. We discuss ways to simulate human responses to behavioral science experiments using LLMs and strategies to address their limitations. Check out our preprint!

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Julian Garritzmann @garritzmannj.bsky.social · 23/09/2025

I'm super happy & proud to be able to work with this rock star group of a team (and academic guests)! 🧠🧠🧠💫🙏 @goetheuni.bsky.social @infer-frankfurt.bsky.social - and it's really nice to check out parts of Frankfurt that I hadn't been to as part of our team event

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davidbroska.bsky.social @davidbroska.bsky.social · 30/07/2025

Check out this article on leveraging AI for conducting social science research!

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davidbroska.bsky.social @davidbroska.bsky.social · 21/07/2025

Excited to continue learning about the latest #CSS at @ic2s2.bsky.social! I’ll be at the Social Prediction Session, presenting the mixed subjects design on combining human and LLM data in experiments. Paper with Michael Howes and @austin-van-loon.bsky.social. Come join us! doi.org/10.1177/0049...

doi.org

Sage Journals: Discover world-class research

Subscription and open access journals from Sage, the world's leading independent academic publisher.

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Reposted by @davidbroska.bsky.social

Stanford Sociology @stanfordsoc.bsky.social · 25/06/2025

New in Sociological Methods & Research: Soc PhD candidate @davidbroska.bsky.social, @austin-van-loon.bsky.social, & Michael Howes show how combining human subjects and large language models can yield precise estimates at low cost, with implications for scientific productivity doi.org/10.1177/0049...

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davidbroska.bsky.social @davidbroska.bsky.social · 17/05/2025

How can we leverage generative AI to advance social science methods and research? Daniel Karell and Thomas Davidson led a special issue in Sociological Methods & Research to find out. Special kudos to them! journals.sagepub.com/doi/10.1177/...

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davidbroska.bsky.social @davidbroska.bsky.social · 23/04/2025

Mixed feelings about silicon subjects (LLM predictions of human behavior) as replacements for human subjects? Consider the mixed subjects design. 🚨Now published at Sociological Methods and Research🚨 doi.org/10.1177/0049...

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Oscar Stuhler @oms279.bsky.social · 31/03/2025

Happy to share my new paper with Cat Dang Ton and @eollion.bsky.social on how to use generative LLMs for extracting information from textual data (conditionally accepted at Sociological Methods & Research) Here's a rundown.. osf.io/preprints/so...

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Reposted by @davidbroska.bsky.social

Austin van Loon @austin-van-loon.bsky.social · 18/02/2025

🚨 ACCEPTED AT SMR 🚨 Confused by colleagues who seem to want to study LLMs instead of humans? Frustrated by skeptics (e.g., myself 8 months ago) who dismiss LLMs as a potential source of data on human behavior? Check out our paper for a new way forward: osf.io/j3bnt_v3/

osf.io

OSF

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