π£ Work with me on AI and behavioral science. I am hiring an Assistant Professor (3 years) at WU Vienna, in collaboration with my team at the MPI for Human Development. Start Jan 2027 or by arrangement. Deadline Nov 11. Please share. jobs.wu.ac.at/Assistant-Pr...
Dirk Wulff
Dirk Wulff
@dirkwulff.bsky.social
Cognitive and decision science at MPI for Human Development & Uni Basel | Data science at therbootcamp.github.io | R, language models, and sustainability (text2sdg.io).
715 followers375 following91 posts
Women still exit psychological research at a disproportionate rate. Tracking 80k researchers, our new article maps the gender attrition gap and shows that differences in performance, networks, and institutions explain only part of it. psycnet.apa.org/doi/10.1037/... arxiv.org/abs/2510.13273
π¨ New preprint Excited to share new work led by Raluca Rilla, showing how cheap, open agents threaten online data collection and how open-text analysis beyond conventional traps can help mitigate this threat. π arxiv.org/abs/2609.31054 With @Anne-Marie Nussberger and @ruimata.bsky.social .
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New paper out in @pnas.org π¨ Human learning is an understudied but promising lever for boosting humanβAI synergy @jasonburton.bsky.social @ralfkurvers.bsky.social @stefanherzog.bsky.social @dirkwulff.bsky.social
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Very proud of @kirikuroda.bsky.social for preprinting this study on social influence and information cascades in experienced based decision making. osf.io/preprints/ps... @arc-mpib.bsky.social. Great collab with @simyciri.bsky.social @dirkwulff.bsky.social
π¨ 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. π doi.org/10.1016/j.ti...
π¨ 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. π www.pnas.org/doi/10.1073/... Led by Kamil Fulawka
π¨ 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
These results reflect poorly on the value of human instruments for LLM profiling. However, they are not driven by standard post-training biases and do not rule out the existence of stable dispositions in LLM. We call for the design of dedicated instruments. Preprint: arxiv.org/abs/2606.20205
π¨ 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
π¨ 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
π£ 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. π www.nature.com/articles/s41...
π¨ New preprint π¨ 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. π Preprint: osf.io/preprints/ps...
π¨ Last chance to register - please share π¨ π£ Behavioral Clones Workshop - Join us online! One-day workshop on behavioral clones β π€ AI systems that model human behavior β following the Machine+Behavior conference. π May 20, 9 am - 6:15 pm (CET) π Register: www.eventbrite.ch/e/behavioral...
π¨ Additional tickets π¨ π£ Behavioral Clones Workshop - Join us online! One-day workshop on behavioral clones β π€ AI systems that model human behavior β following the Machine+Behavior conference. π May 20, 9 am - 6:15 pm (CET) π Register: www.eventbrite.ch/e/behavioral...
π£ Postdoc position Build π€ LLM-based behavioral clones for economic games together with PΔ±nar UΔurlar and me. The position (up to 3 years) is based in PΔ±nar's lab at ΓzyeΔin in Istanbul, with regular visits to my lab. Please share / reach out if interested. π drive.google.com/file/d/1ftqi...
π£ Behavioral Clones Workshop - Join us online! A one-day workshop on behavioral clones β π€ AI systems that model human decision-making and social behavior β following the Machine Behavior conference. Join online via Zoom (no remote Q&A). Register at: www.eventbrite.ch/e/behavioral...
π£ PsychLing-101 β 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 π€ π Visit github.com/Data-X01/Psy...
π¨ New preprint π¨ Excited to share this work led by @kriegmair.bsky.social, establishing π€ machine individuality by decomposing 75M LLM ratings into shared variance, bias, idiosyncrasy, and noise, revealing coherent, cross-dimensional fingerprints unique to each model. π arxiv.org/pdf/2604.16755
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πIntroducing πππππ-πππ: A reporting checklist for using LLMs in behavioral & social science β GUIDE-LLM is a reporting checklist designed by 80+ experts to improve transparency, reproducibility & ethical accountability of LLM-based research π llm-checklist.com
Dirk Wulff reposted
Replying to @dirkwulff.bsky.social
including historical querelles π§πhttps://medium.com/@stefano.palminteri/do-large-language-models-vindicate-skinners-approach-to-language-b8a323682b46
π¨ Updated preprint π¨ 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. π arxiv.org/abs/2511.00206
π¨ New publication π¨ 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...
π¨ Deadline extension π¨ BEHAVIORAL CLONES WORKSHOP Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. π Fri, 20 May 2026 π Following Machine+Behavior @ Max Planck Berlin π£οΈ Invited talks: Danica Dillion, Raja Marjieh, Marcel Binz
Submit your abstract by 11 February 2026 (AOE): machinebehavior.science/behavioral-c...
π¨ 7 days left to submit your work!
WORKSHOP ON BEHAVIORAL CLONES Imitating humans is a powerful route to machine behavior and an emerging lens on human cognition and social simulation. π Fri, 20 May 2026 Following Machine+Behavior @ Max Planck Berlin Invited talks: Danica Dillon, @marcelbinz.bsky.social
π¨ New preprint π¨ 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
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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. π 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. π Fri, 20 May 2026 Following Machine+Behavior @ Max Planck Berlin Invited talks: Danica Dillon, @marcelbinz.bsky.social
Submit your abstract by 4 February 2026 (AOE): machinebehavior.science/behavioral-c...
π¨ New preprint π¨ 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. π Database: github.com/dwulff/dfe-db π Preprint: www.biorxiv.org/content/10.6...
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π¬ How has psychology contributed to achieving the πΊπ³ 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. π arxiv.org/abs/2512.08628
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@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!
π¨ Inviting collaborators! π¨ Weβre launching PsychLing-101 β an open, community-driven initiative to gather psycholinguistic datasets for cross-dataset analyses and the development of psycholinguistic foundation models. π To contribute or propose a dataset, go to: π github.com/Data-X01/Psy...
With @tikhomirova.bsky.social, Valentin Kriegmair, Fritz GΓΌnther, Aliona Petrenco, Louis Schiekiera, @ercbravenewword.bsky.social, and @marcelbinz.bsky.social
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). π arxiv.org/2511.00206
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π¨ New preprint - Advancing Cognitive Science with LLMs Excited to share this new preprint together with Rui Mata. We review how π€ LLMs can help address long-standing problems in cognitive science, highlighting opportunities and pitfalls. π Preprint: arxiv.org/abs/2511.00206
π¨ New preprint - Advancing Cognitive Science with LLMs Excited to share this new preprint together with Rui Mata. We review how π€ LLMs can help address long-standing problems in cognitive science, highlighting opportunities and pitfalls. π Preprint: arxiv.org/abs/2511.00206
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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?