RT @thomasrdavidson: I’m delighted to share that the August 2025 special issue of Sociological Methods & Research on Generative AI is out.….

We have teaching needs in organizational processes (I call it “sociology for managers”), power and politics, as well as other courses on work, employment, and organizational issues. Happy to (try to) answer any questions!.

🚨JOB OPENING🚨. Come be my colleague! Work and Organization Studies at MIT Sloan seeks applications for an open rank, tenure-track faculty member. Research should focus on employment, work, or organizational issues (broadly defined). Deadline Sept 5!.

RT @david_broska: Excited to continue learning about the latest #CSS at @IC2S2! I’ll be at the Social Prediction Session, presenting the mi….

RT @johnjhorton:

RT @JessicaHullman: Blog post on mixed subjects (human & LLM) studies. Using prediction powered inference makes more sense than blindly sub….

👀. “…the mixed [subjects] design… is the most reasonable approach I’ve seen in the LLMs for social science literature for integrating LLM simulations into confirmatory-style experiments…”. Also provides thoughtful reflections on the limitations of the approach!.

RT @DzGuilbeault: 𝐃𝐨 𝐋𝐋𝐌𝐬 𝐡𝐚𝐯𝐞 𝐬𝐲𝐧𝐞𝐬𝐭𝐡𝐞𝐬𝐢𝐚? In a forthcoming paper in 𝐶𝑜𝑔𝑛𝑖𝑡𝑖𝑣𝑒 𝑆𝑐𝑖𝑒𝑛𝑐𝑒, we show yes! But this synesthesia deviates signifi….

RT @SSRN: #LLMs offer cost-effective but potentially inaccurate predictions. Study says #LLM predictions be viewed as informative but imper….

RT @NYU_PRIISM: Who Gets In? AI-generated essays in college admissions. Join us & @AustinVanLoon to learn about how GAI in college admissio….

Amazing opportunity to work with a world-class psychologist, cutting edge computational social scientist, and an all-around fantastic person!.

RT @david_broska: Mixed feelings about silicon subjects (LLM predictions of human behavior) as replacements for human subjects? Consider th….

RT @james_y_zou: ⚡️Really thrilled that #textgrad is published in @nature today!⚡️. We present a general method for genAI to self-improve v….

RT @amirgoldb: New paper from the computational culture lab, forthcoming in AJS!.Building on (largely untested) sociological intuitions, we….

RT @chris_bail: Want to learn about computational social science *for free* and launch interdisciplinary research projects? We are so excit….

RT @xemilyhu: Our paper is out today in @PNASNews! 🎉 In a large-scale experiment on a YouTube-like platform, we find that giving people pol….

@david_broska S/O to some of the folks whose work inspired us: @lpargyle @AshuAshok @lukebeehewitt @RobbWiller @chris_bail @pettertornberg @johnjhorton @ml_angelopoulos @jurafsky @aj_alvero @JoHenrich @MohammadAtari90 @amaatouq.

Thank you @david_broska and Michael for your leadership on this paper. It’s been a joy working with you both. Onwards to more breakthroughs in computational social science!.

💡 LLMs aren’t going anywhere. As social scientists, we can either ignore them or work to integrate them rigorously into the research process. We hope this is a step in the right direction—leveraging what LLMs can tell us about human behavior while preserving scientific rigor.

Since many social scientists are new to PPI, we also built tools—like a PPI power analysis. With an estimated treatment effect and assumed interchangeability, our tool optimizes budget allocation between expensive human data and possibly biased LLM responses (!!).