🚨 Out now in TICS How can language models help cognitive science? @ruimata.bsky.social & I outline 5 uses: mapping research fields, formalizing theories, cleaning up constructs & measures, predicting behavior across tasks, and capturing environmental variation. 🔗 doi.org/10.1016/j.ti...

🚨 Now out in PNAS In decision research, "talk is cheap." We show it isn't. Using LLMs to analyze participants' free-text explanations of their choices, we find verbal reports are a rich, scalable window into how people actually decide. 🔗 www.pnas.org/doi/10.1073/... Led by Kamil Fulawka

🚨 New preprint Do LLMs have stable dispositions measurable using instruments designed for humans? Led by @jelenameyer.bsky.social, our new preprint shows that LLM responses are driven by response bias, rendering their psychological profiles method artifacts. @dgarcia.eu @arc-mpib.bsky.social

📣 Reporting checklist for LLMs in behavioral and social science New article presenting a consensus-based reporting checklist (GUIDE-LLM) for the use of LLMs in the behavioral and social sciences to foster transparency, reproducibility, and ethical use. 🔗 www.nature.com/articles/s41...

🚨 New preprint 🚨 Excited to share a new preprint led by @zakashussain.bsky.social. We review how large language models compare to humans in behavior and representations. Our conclusion: LLM cognition is not simply human-like or non-human-like. It is jagged. 🔗 Preprint: osf.io/preprints/ps...

🚨 Last chance to register - please share 🚨 📣 Behavioral Clones Workshop - Join us online! One-day workshop on behavioral clones — 🤖 AI systems that model human behavior — following the Machine+Behavior conference. 📅 May 20, 9 am - 6:15 pm (CET) 🔗 Register: www.eventbrite.ch/e/behavioral...

Behavioral Clones online participation

A one-day workshop on behavioral clones — AI systems that model human decision-making and social behavior.

eventbrite.ch

🚨 Additional tickets 🚨 📣 Behavioral Clones Workshop - Join us online! One-day workshop on behavioral clones — 🤖 AI systems that model human behavior — following the Machine+Behavior conference. 📅 May 20, 9 am - 6:15 pm (CET) 🔗 Register: www.eventbrite.ch/e/behavioral...

📣 Postdoc position Build 🤖 LLM-based behavioral clones for economic games together with Pınar Uğurlar and me. The position (up to 3 years) is based in Pınar's lab at Özyeğin in Istanbul, with regular visits to my lab. Please share / reach out if interested. 🔗 drive.google.com/file/d/1ftqi...

📣 Behavioral Clones Workshop - Join us online! A one-day workshop on behavioral clones — 🤖 AI systems that model human decision-making and social behavior — following the Machine Behavior conference. Join online via Zoom (no remote Q&A). Register at: www.eventbrite.ch/e/behavioral...

📣 PsychLing-101 — Deadline May 1 Join us in building a large-scale, trial-level psycholinguistic database for cumulative science and LLM evaluation. So far: 36 submissions and 40M+ observations All contributors become coauthors 🤝 🔗 Visit github.com/Data-X01/Psy...

🚨 New preprint 🚨 Excited to share this work led by @kriegmair.bsky.social, establishing 🤖 machine individuality by decomposing 75M LLM ratings into shared variance, bias, idiosyncrasy, and noise, revealing coherent, cross-dimensional fingerprints unique to each model. 🔗 arxiv.org/pdf/2604.16755

🚀Introducing 𝐆𝐔𝐈𝐃𝐄-𝐋𝐋𝐌: A reporting checklist for using LLMs in behavioral & social science ✅GUIDE-LLM is a reporting checklist designed by 80+ experts to improve transparency, reproducibility & ethical accountability of LLM-based research 📄 llm-checklist.com

including historical querelles 🧐🙂https://medium.com/@stefano.palminteri/do-large-language-models-vindicate-skinners-approach-to-language-b8a323682b46

Do Large Language Models Vindicate Skinner’s Approach to Language?

What large language models teach us about language, learning, and the long-running debate between Skinner and Chomsky

medium.com

🚨 Updated preprint 🚨 Excited to share this updated preprint, in which @ruimata.bsky.social and I discuss five ways LLMs can help address longstanding challenges in cognitive science and psychology, examining both opportunities and pitfalls. 🔗 arxiv.org/abs/2511.00206

🚨 New publication 🚨 Excited to share this new forum piece led by @kevinetiede.bsky.social We propose broadening risk communication to cover neglected dimensions outlined in our risk-information taxonomy, requiring greater reliance on simulated experiences. Open access: doi.org/10.1016/j.ti...

🚨 Deadline extension 🚨 BEHAVIORAL CLONES WORKSHOP Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. 🗓 Fri, 20 May 2026 📍 Following Machine+Behavior @ Max Planck Berlin 🗣️ Invited talks: Danica Dillion, Raja Marjieh, Marcel Binz

🚨 7 days left to submit your work!

Dirk Wulff@dirkwulff.bsky.social · 7mo ago

WORKSHOP ON BEHAVIORAL CLONES Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. 🗓 Fri, 20 May 2026 Following Machine+Behavior @ Max Planck Berlin Invited talks: Danica Dillon, @marcelbinz.bsky.social

🚨 New preprint 🚨 Excited to share new work led by @tikhomirova.bsky.social, presenting a large-scale evaluation of the accessibility of psycholinguistic information in transformer language models. Preprint: arxiv.org/abs/2601.03798

WORKSHOP ON BEHAVIORAL CLONES Imitating humans is a powerful route to machine behavior, an emerging lens on human cognition, and a prerequisite for social simulation. 🗓 Fri 20 May 26 Following Machine+Behavior @ Max Planck Berlin Invited talks by @danicajdillion.bsky.social @marcelbinz.bsky.social

WORKSHOP ON BEHAVIORAL CLONES Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. 🗓 Fri, 20 May 2026 Following Machine+Behavior @ Max Planck Berlin Invited talks: Danica Dillon, @marcelbinz.bsky.social

🚨 New preprint 🚨 We present the decisions-from-experience database (DfE-DB), including data from 168 studies. The data are currently shared with the original authors and made public upon publication. 🔗 Database: github.com/dwulff/dfe-db 🔗 Preprint: www.biorxiv.org/content/10.6...

I am hiring a postdoc for a DFF-funded project on social influence, and the decision processes that fuel rich-get-richer dynamics in the online/offline world. The position is for up to a year, competitive Danish salary, remote work possible. Interested or know somebody? DM me or share!

🔬 How has psychology contributed to achieving the 🇺🇳 SDGs? Our new preprint maps 230,000 psychology articles to the SDGs using our text2sdg R package (www.text2sdg.io) and analyzes historical trends in topics, national and gendered contributions, and citation patterns. 🔗 arxiv.org/abs/2512.08628

@cos.io, I noticed that, since the relaunch, PsyArXiv preprints are no longer being indexed by Google Scholar. Do you know if this will be fixed? Thank you for your work!

@cos.io, I noticed that, since the relaunch, PsyArXiv preprints are no longer being indexed by Google Scholar. Do you know if this will be fixed? Thank you for your work!

🚨 Inviting collaborators! 🚨 We’re launching PsychLing-101 — an open, community-driven initiative to gather psycholinguistic datasets for cross-dataset analyses and the development of psycholinguistic foundation models. 👉 To contribute or propose a dataset, go to: 🔗 github.com/Data-X01/Psy...

How can LLMs advance the cognitive sciences? @ruimata.bsky.social and I put together a review on how LLMs can help us address five long-standing problems in cognitive science (e.g., disciplinary silos or lack of generalizability). 🔗 arxiv.org/2511.00206

🚨 New preprint - Advancing Cognitive Science with LLMs Excited to share this new preprint together with Rui Mata. We review how 🤖 LLMs can help address long-standing problems in cognitive science, highlighting opportunities and pitfalls. 🔗 Preprint: arxiv.org/abs/2511.00206

🚨 New preprint - Advancing Cognitive Science with LLMs Excited to share this new preprint together with Rui Mata. We review how 🤖 LLMs can help address long-standing problems in cognitive science, highlighting opportunities and pitfalls. 🔗 Preprint: arxiv.org/abs/2511.00206

We have a new preprint: osf.io/preprints/so... What have we learned about social media - the constantly moving target of empirical research - over the past decade?