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Björn Lindström

@bjornlindstrom.bsky.social
1.1K followers 478 following 99 posts

Researching (social) learning and cultural evolution at Karolinska Institute, Sweden

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Reposted by Björn Lindström
Dominik Deffner @dominikdeffner.bsky.social · 24/09/2026
Now published in @natcomms.nature.com! Using a 3D immersive-reality group experiment, we show how people integrate dynamically changing personal and social cues in realistic environments, resulting in either collective intelligence or maladaptive behavior! Paper: www.nature.com/articles/s41...
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Marlene Berke @marleneberke.bsky.social · 14/09/2026
Do non-human primates have theory of mind? My new paper takes a new computational approach to this classic question. We implemented verbal theories of primates' mental representations as computational models. These models completed classic visual perspective-taking tasks.
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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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Aaron Reichlin-Melnick @reichlinmelnick.bsky.social · 18/09/2026
My grandfather, who is 102 and a medical doctor, has told me about the times before polio was cured. Most years, upon returning to school after summer’s break, there would be some children would didn’t make it back to school because of polio.
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Simon Columbus @simoncolumbus.bsky.social · 14/09/2026
Autumn 2026 Cooperation Colloquia We have an exciting interdisciplinary series of speakers with Kasper Otten, @patkanngiesser.bsky.social, @charlesefferson.bsky.social @nikoletaglyn.bsky.social, Cameron Curtin, & Devesh Rustagi Sign up: list.ku.dk/postorius/li...
List of speakers: 
2026-09-18 | Kasper Otten (WODC / Erasmus University Rotterdam) | The ​co-occurrence of ingroup and outgroup prosociality across 121 societies
2026-10-02 | Patricia Kanngiesser (University of Plymouth)
2026-10-16 | Charles Efferson (Université de Lausanne)
2026-10-30 | Nikoleta Glynatsi (RIKEN Center for Computational Science)
2026-11-13 | Cameron Curtin (IAST)
2026-12-11 | Devesh Rustagi (University of Warwick)
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Riccardo Fusaroli @fusaroli.eurosky.social · 10/09/2026
TL;DR: DAGs + experiments showing that urban forms act as a cognitive-cultural niche. Grid layouts foster metric descriptions, irregular layouts landmark-based ones. These conventions transmit reliably across generations, but stabilize rapidly rather than progressively accumulating. 2/
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Mason Youngblood @masonyoungblood.bsky.social · 06/09/2026
New tutorial preprint about simulation-based inference! Shows how to fit a cultural evo model to baby name data using approx Bayesian computation, random forests, and deep learning. Wrote for @eslr.bsky.social but wanted to share with others in @culturalevolsoc.bsky.social! :) osf.io/preprints/so...
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Gaia Molinaro @gaiamolinaro.bsky.social · 28/08/2026
Why do some goals spread across people and generations, while others emerge only transiently? We argue that human goals are both drivers and products of cultural evolution: our individual pursuits are shaped by our cultural environments, and the goals we pursue in turn reshape those environments.
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Nicholas A. Christakis @nachristakis.bsky.social · 24/08/2026
What role do social networks – and the precise nature and structure of social interactions – play in the production of public goods and in human welfare? What about social contagion? A thread on some of our #HNL experiments with many thousands of participants from 2010 to the present. 1/
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Nature Human Behaviour @nathumbehav.nature.com · 26/08/2026
Mentalizing and heuristics as distinct cognitive strategies in human teaching
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Mentalizing and heuristics as distinct cognitive strategies in human teaching
Nature Human Behaviour, Published online: 26 August 2026; doi:10.1038/s41562-026-02540-2Harootonian et al. find that people switch between effortful, tailored teaching and easier, simple shortcuts, favouring shortcuts even when unhelpful. Prompting participants to reflect on learners’ limitations restores effective, personalized instruction.
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Alexandre "Blublu" Bluet @blubludoesscience.bsky.social · 17/08/2026
New preprint! We investigate the role of language in the transmission of mental models in cultural evolution. Using a transmission chain design with over 2000 participants, we show that only language allows for the transmission and refinement of mental models. osf.io/preprints/ps...
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William Gibson @greatdismal.bsky.social · 17/08/2026
The idea of AI “hallucinating” is one I wish I’d had!
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Claudio Tennie @ctennie.bsky.social · 17/08/2026
Congratulations to the team. This suggests once more that know-how copying is needed for the range a d depth of human culture - at least in the sense of a necessary (though on its own insufficient) precondition of things that follow. [[For one cannot have language without know-how copying]]
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Björn Lindström @bjornlindstrom.bsky.social · 17/08/2026
When is language needed for human culture to accumulate? When observing successful behavior is not enough to recover the mental model behind it! This is an incredibly ambitious project, involving large-scale experimentation, RL and ABM modeling, and computational language analyses.
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Surabhi S Nath @surabhisnath.bsky.social · 16/07/2026
🚨 Paper Alert 🚨 Searching for concepts 🦓⚽ in memory 💭 is fundamental to our cognition. But how exactly do we represent 🗺️ and navigate 🏃‍♀️through concept spaces? osf.io/preprints/psyarxiv/adwzp
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charlesefferson.bsky.social @charlesefferson.bsky.social · 02/08/2026
This fall, the Dept of Ecology and Evolution @ the Univ of Lausanne will be looking for an associate professor in behavioral ecology and cultural evolution. If that sounds like you, please apply. CH is an outstanding place to live and work. ⛰️🚄🔥 wwwfbm.unil.ch/releve/appli...
wwwfbm.unil.ch
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Paul Smaldino @psmaldino.bsky.social · 30/07/2026
A Demographic Theory of Similarity-Biased Social Learning. Now out in PNAS, led by the incomparable @apvelilla.bsky.social . We use modeling to explore conditions for the (cultural) evolution of parochial (and anti-parochial) learning biases. www.pnas.org/doi/10.1073/...
Humans adapt by learning from others, but risk acquiring maladaptive behaviors when learning from individuals facing different conditions. We present an evolutionary model exploring how individuals use social identity markers to select learning targets in diverse populations. Learners evolve biases that track reliable information sources: preferring similar individuals when in-group knowledge is adaptive, and dissimilar individuals when in-group behaviors are disadvantageous. Our framework demonstrates that this adaptive bias makes social learning viable even when it is costlier than individual learning. Additionally, we show that a minimum threshold of reliable cultural information is required for social learning to spread, providing a mathematical explanation for how demographic diversity drives population-level patterns of cultural segregation and assimilation.
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Ghent Center for Cognitive Neuroscience @ghentccn.bsky.social · 23/07/2026
Two time scales of adaptation in human learning rates doi.org/10.7554/eLif...
doi.org
Two time scales of adaptation in human learning rates
Humans adapt learning rates on both a fast and a slow time scale, and the central orbitofrontal cortex may represent the slow time scale.
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Dominik Deffner @dominikdeffner.bsky.social · 10/07/2026
Learning from the most successful people makes sense? We show that social learning, and especially payoff bias, is bad when choice outcomes are dependent on prior success💰 As such "rich-get-richer" dynamics are everywhere, this shows fundamental boundary conditions for the benefits of SL!
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Dirk Wulff @dirkwulff.bsky.social · 01/07/2026
🚨 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
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Björn Lindström @bjornlindstrom.bsky.social · 26/05/2026
Semantic knowledge is key for human innovation and cultural evolution! Our paper (thread in repost), led by fantastic @anilyaman.bsky.social & rising star @ts-brain.bsky.social is out in @pnas.org! www.pnas.org/doi/10.1073/... I will present this work at APS Barcelona (29/5), happy to chat!
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Oleg Sobchuk 🇺🇦 @sobchuk.bsky.social · 29/06/2026
📣 I'm hiring! Two positions (PhD student & Postdoc) in my ERC project Macroevolution of European Literature. Let's study the cultural evolution of literature using massive data 📚📈 📍Frankfurt | Apply by August 15 Details: www.aesthetics.mpg.de/en/career/jo... Please repost to help spread the word!
Job announcement of two positions at the Max Planck Institute for Empirical Aesthetics in Frankfurt: postdoc (Macroevolution of European Literature) and PhD student (Computational Literary Studies). Successful candidates will be affiliated with the research group Cultural Evolution of the Arts.
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Margot Finn @eicathomefinn.bsky.social · 29/06/2026
The AfD is predicted to become comfortably the largest party in elections in two German states, Saxony-Anhalt and Mecklenburg-Vorpommern, in September....The party is also currently leading in polls of voters at the national level.' 1/4
nature.com
Scientists fight back against far-right plans to restrict academic freedom in Germany
With the far-right Alternative for Germany leading in polls for national and state elections, institutions are facing up to proposed restrictions on academic freedom.
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Emerson Harkin @efharkin.bsky.social · 26/06/2026
Just in time for the start of next week's Braitenberg 100 symposium, I'm excited to share "Dopamine: From prediction to error," a site I built to better understand where the dopamine RPE hypothesis came from and where it might be headed. efharkin.com/s/dopamine-h... 1/3
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The Institute for Analytical Sociology @iasliu.bsky.social · 23/06/2026
The confirmed programme of the lecture series on Foundations and Frontiers of Analytical Sociology is now available online. The lectures will take place between September 2 and December 11, 2026. Please find the full programme, and short bios of the lecturers here: liu.se/en/news-item...
liu.se
World-leading researchers to headline new lecture series in analytical sociology
Some of the world's most influential researchers in analytical sociology, network science, and computational social science will visit Linköping University this autumn as part of a new international l...
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Ralf Kurvers @ralfkurvers.bsky.social · 15/06/2026
New preprint led by @lucasmolleman.bsky.social investigates social information use across the human lifespan. Testing >40,000 participants aged 6-80 in museums in Berlin and Japan. psyarxiv.com/hec96
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Iyad Rahwan | إياد رهوان @iyadrahwan.bsky.social · 09/06/2026
LLMs are used widely in the behavioral sciences. But we have no good standards for how to do so. We introduce a consensus-based reporting checklist to improve transparency, reproducibility and ethical accountability of LLM-based research in the behavioural sciences. www.nature.com/articles/s41...
nature.com
A reporting checklist for large language models in behavioural science - Nature Human Behaviour
Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve tra...
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Kevin J Miller @kevinjmiller.bsky.social · 03/06/2026
Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, which surface new mechanistic ideas and clear predictions for future experiments From Google Deepmind Neuroscience Lab + collaborators www.biorxiv.org/content/10.6...
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Stephan Lewandowsky @lewan.uk · 04/06/2026
🧵 Thread: Does the internet threaten democracy? I argue that it does in my latest piece in Science: doi.org/10.1126/scie... Here's the short version. 1/9 1/10
doi.org
The architecture of the internet creates risks for democracy
Will democracy survive the internet? Do we need to choose between Facebook’s surveillance capitalism or democracy? Layered lines of evidence can inform questions like these. When considered together, the evidence gives rise to a concerning picture, as summarized in a recent report for the European Commission that I co-led.
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MU-Peter Shimon 🀄 @mu-peter.bsky.social · 03/06/2026
Chimpanzee culture beyond the conspicuous: Evidence for broad-scale observational social learning in wild individuals🧪 www.cell.com/iscience/ful... Suggests wild chimpanzees use peering to learn a wide variety of skills, thereby highlighting unrecognized cultural potential in everyday behaviors.
Peering across the behavioral repertoire (predictions 2a-b)
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Alberto Acerbi @acerbialberto.com · 29/05/2026
"The Cultural Ecology of Social Media" is finally out! This article put together a series of thoughts I had in the past years, and that found a productive theoretical background in the ecological approach to culture developed by Baumard and André. www.cambridge.org/core/journal...
cambridge.org
The Cultural Ecology of Social Media | Evolutionary Human Sciences | Cambridge Core
The Cultural Ecology of Social Media
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Björn Lindström @bjornlindstrom.bsky.social · 27/05/2026
Two poster presentations from my group at #sbdm2026 in Paris. Magdalena Soukupová on the social learning mechanisms of human goal selection and @pierreledenmat.bsky.social on (lack of) mentalizing in social learning.
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Björn Lindström @bjornlindstrom.bsky.social · 26/05/2026
Semantic knowledge is key for human innovation and cultural evolution! Our paper (thread in repost), led by fantastic @anilyaman.bsky.social & rising star @ts-brain.bsky.social is out in @pnas.org! www.pnas.org/doi/10.1073/... I will present this work at APS Barcelona (29/5), happy to chat!
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Lucas Gautheron @lucasgautheron.bsky.social · 25/05/2026
Popularity Feedback Constrains Innovation in Cultural Markets arxiv.org/abs/2602.09997 Come to my talks at CogSci and IC2S2 if you want to hear more about this project!
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Armin Lak @laklab.bsky.social · 22/05/2026
Awesome results from @fluketc.bsky.social @dudman.bsky.social and team, both for dopamine field and for all that train animals in tasks www.science.org/doi/10.1126/...
science.org
Reward magnitude determines reinforcement learning efficiency
Standard animal learning studies minimize individual reward magnitudes to maximize the repetitions of reinforced behaviors. We investigated how reward magnitude influences initial learning across five...
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Krajbich Lab @krajbichlab.bsky.social · 19/05/2026
Autonomous AI agents are now built into many browsers. A naive user can take an online survey with as little as the click of a button. For behavioral research, which depends heavily on online samples, this is a real problem. (1/7)
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Georgia Turner @georgiaturner.bsky.social · 18/05/2026
🚨 CALL FOR ABSTRACTS 🚨 1/ We invite proposals for posters and symposia for the New Directions in Social Media Research conference at St John’s College, University of Cambridge (7–8 Dec 2026). We especially welcome future-facing research on how the social world is changing in the digital age.
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Dr. Yin Wang @bruceyinwang.bsky.social · 12/05/2026
1/ I’m excited to share our new @NatureHumBehav paper “Social Functioning in Autism: A Systematic Review & Meta-analysis” 🧵We synthesized 35 yrs of autism research to ask a fundamental Question: How is social functioning organized, developed, and altered in autism? Free link: rdcu.be/figGl
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Social functioning in autism: a systematic review and meta-analysis
Nature Human Behaviour - Impaired social functioning is a core feature of autism spectrum disorders. This systematic review and meta-analysis synthesizes the evidence for this across studies...
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tadegquillien.bsky.social @tadegquillien.bsky.social · 06/05/2026
Our new paper with @maxtaylordavies.bsky.social introduces a resource-rational model of Theory of Mind. The model can explain many of the successes and failures of mindreading in human adults and children, and non-human primates. 🧵 royalsocietypublishing.org/rspb/article...
royalsocietypublishing.org
Factive mindreading reflects the optimal use of limited cognitive resources
Abstract. The capacity to represent the mental states of other individuals, known as ‘mindreading’ or ‘theory of mind’, is key to successful social predict
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Nicholas A. Christakis @nachristakis.bsky.social · 03/05/2026
For an early stage scientist: How to: Write an email Ask for a letter of recommendation Network Get new ideas Handle rejection Talk to reporters m.youtube.com/@NAChristakis
m.youtube.com
For the Love of Science
Weekly videos about the craft of science. A Human Nature Lab science outreach effort. Later in 2026, we will be expanding to include voices from other labs around the world.
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Tim Waring @twaring.bsky.social · 21/04/2026
Postdoctoral Fellow in Agent-based Human–Earth System Modelling at the Anthropocene Laboratory at the Stockholm Resilience Centre. su.varbi.com/en/what:job/... Deadline: June 15. @brunelcce.bsky.social @culturalevolsoc.bsky.social @durhamdcerc.bsky.social @michael.muthukrishna.com
su.varbi.com
Postdoctoral Fellow in Agent-based Human–Earth System Modelling
Stockholm Resilience Centre (SRC) is a leading international centre in sustainability science at Stockholm University. The Centre advances scientific understanding of the dynamic interactions between
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Berna Devezer @devezer.bsky.social · 30/04/2026
📣 The difference between replicable and not replicable is not itself scientifically replicable. 📣 New work with Erkan Buzbas, showing that verdicts such as "X% of results replicated" are based on an inferential machinery that doesn't work. arxiv.org/abs/2604.26268
Screenshot of a paper's title page. Title: "The Difference Between 'Replicable' and 'Not replicable' is not Itself Scientifically Replicable". Authors: Berna Devezer and Erkan O. Buzbas, both at the University of Idaho — Devezer in the Department of Business and the Institute for Modeling Collaboration and Innovation, Buzbas in the Department of Mathematics and Statistical Science. Authors contributed equally. Corresponding author: bdevezer@uidaho.edu.
Abstract: Replication studies estimate the replicability rate of scientific results by aggregating binary verdicts of experiments. Exact replications are rarely attainable, so most replication sequences are non-exact. Experiments differ in ways that matter and do not share a single common data-generating process. We formalize two statistical interpretations of this non-exactness. In a shared latent rate model (benchmark), experiments are exchangeable and depend on a common random replicability rate. In a conditionally independent rates model (operational), each experiment has its own replicability rate drawn independently from a population distribution. Under the shared latent rate model, even small variability among replicability rates induces an irreducible variance floor on the estimated mean replicability rate that cannot be eliminated by adding more replications. Under the conditionally independent rates model, the degree of non-exactness is not identifiable from standard replication data, because one binary verdict per experiment contains no information about between-experiment heterogeneity. Researchers therefore cannot tell which precision regime they are operating in or whether high- and low-replicability sequences can be distinguished in principle. As a result, the usual data structure of one binary verdict per experiment cannot support reliable demarcation between "replicable" and "not replicable" results and systematically understates uncertainty, making high- and low-replicability sequences appear discrim…
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Mike Frank @mcxfrank.bsky.social · 27/04/2026
For a year and a half, @carorowland.bsky.social, @lehersingh.bsky.social, Marisa Casillas, Shanley Allen, and I have been meeting to discuss whether innateness is still a useful concept to think about in studying language acquisition. Here's our take: osf.io/preprints/ps...
Title pageThe origins of language have been a persistent object of philosophical and scientific inquiry, in part
because they offer a window into the origins of thought. Classic innatist theories of language have argued
that languages share universal elements that arise because language acquisition is guided by rich,
biologically specified structures in the form of a universal grammar. However, different versions of this
hypothesis that posit substantial amounts of innate content are not consistent with recent evidence. We
review new evidence from language diversity, human interaction, and large language models (LLMs), all
of which challenge classical innatist views. Yet we believe there is still value in asking what elements of
language development are innate. In this Perspective, we integrate evidence from these three areas
towards a broader conception of innateness, one that seeks to explain both consistency and variation in
language acquisition. On this view, innateness remains a key orienting principle for understanding the
origins of language.
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Charley Wu @thecharleywu.bsky.social · 27/04/2026
🚨 New preprint w/ Valerio Rubino and Peter Dayan: how do people discover and use compositional structure under constraints? osf.io/preprints/ps... A key factor is a simple heuristic that favors reuse of repeated and symmetric fragments across scales, is robust to time pressure, and sped up RTs 🧵👇
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Stefano Palminteri @stepalminteri.bsky.social · 22/04/2026
Cognitive Modelling Research in the Era of Agentic Large Language Models From equations to fitted models in minutes: how LLMs are changing computational cognitive science and how we should adapt My latest post on Medium medium.com/@stefano.pal...
medium.com
Cognitive Modelling Research in the Era of Agentic Large Language Models
From equations to fitted models in minutes: what LLMs are changing in computational cognitive science and how we should adapt.
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Marcelo Mattar @marcelomattar.bsky.social · 21/04/2026
New Annual Review with @nathanieldaw.bsky.social: “Planning in the Brain: It's Not What You Think It Is.” We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.
annualreviews.org
Planning in the Brain: It's Not What You Think It Is
The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...
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Wataru Toyokawa @watarutoyokawa.bsky.social · 18/04/2026
Phil Trans Roy Soc B theme issue ‘The evolution of collective intelligence’ is out! royalsocietypublishing.org/rstb/issue/3...
royalsocietypublishing.org
Volume 381 Issue 1948 | Philosophical Transactions of the Royal Society B | The Royal Society
Influential themed journal issues across the life sciences.
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Alex Mesoudi @alexmesoudi.com · 17/04/2026
New preprint with Rafael Leite, Sandro Reia and Paulo Campos Cumulative Cultural Evolution in Structured Populations www.biorxiv.org/content/10.6... In which we take an old model of cumulative cultural evolution of mine and see what happens if you add social networks
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Stefano Palminteri @stepalminteri.bsky.social · 15/04/2026
Skinner’s central idea is that teaching should be treated as a domain in which we can deliberately design better learning environments. He develops the notions of a behavioral technology of education and of teaching machines as tools for organizing feedback, pacing, and practice more effectively.
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Stefano Palminteri @stepalminteri.bsky.social · 10/04/2026
📄 New preprint: The blessing and curse of Value-Shaping imitation (by @isabellehoxha.bsky.social) osf.io/preprints/ps... Imitation is central to human learning: but not all imitation processes are equally adaptive. We study their computational properties using reinforcement learning models.
osf.io
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