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Benedek Kurdi

@benedek.bsky.social

Experimental psychologist studying social learning and memory, assistant professor @psychillinois.bsky.social, SAB chair @projectimplicit.bsky.social, AE at JEP:G & @openmindjournal.bsky.social, immigrant, 🏳️‍🌈, he/him

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Urvi Maheshwari ツ@urvi.bsky.social · 6d ago

New w/ @drbarner.bsky.social in Cognitive Science! We explored how kids learn the “later-greater” principle — the idea that numbers that come later in a count are greater in magnitude. Turns out this simple property governing the count system doesn't come easy! dx.doi.org/10.1111/cogs... 1/6

One, Two, Three, Four… What's More? Successor Relations, not Mappings to Approximate Magnitudes, Support Learning the Later‐Greater Principle

As we count up, number words that occur later in our count denote greater quantities. Here, we tested whether children's understanding of this “later-greater” principle originates from associating nu...

dx.doi.org

April Bailey@ahbailey.bsky.social · last wk.

🗣️ New preprint! @jialin-lin-zhou.bsky.social Western samples tend to think of a "person" as a man. How persistent is this? Striking evidence from two novel groups begins to answer this question; see below for findings from the matrilineal Mosuo and from an age-diverse mainstream Chinese sample ⬇️

Jialin Zhou@jialin-lin-zhou.bsky.social · last wk.

🆕 New preprint: Is “person = man” inevitable? In the matrilineal Mosuo, men and women imagined someone like themselves. In mainstream China, younger participants did too—but girls and women increasingly favored men with age. [https://osf.io/preprints/psyarxiv/ejd76_v1] #NewPreprint

moin syed@syeducation.bsky.social · 3w ago

New paper! Despite qualitative researchers claiming that generalizability is not a goal, their published work does indeed contain generalizable claims. We document this and provide recommendations for how all researchers can better calibrate their generalizability claims. doi.org/10.1177/2515...

article header for, "Qualitative Researchers Can and Do Generalize: Generalizability Claims in Qualitative Psychological Research". Metascience!
Benedek Kurdi@benedek.bsky.social · 3w ago

Updated preprint out! 📢 How do implicit vs. explicit evaluations change when we get new information? A classic study suggests that they update in completely different ways.

This research examined the processes by which explicit and implicit attitudes changed to systematically differing levels of counterattitudinal (CA) information. Explicit attitudes changed quickly in response to relatively small amounts of CA information, reflecting rule-based reasoning. On the other hand, implicit attitudes changed more slowly in the face of CA information, reflecting the progressive accretion of evaluation-attitude object pairings. Thus, explicit attitudes were extremely malleable and changed quickly when CA information was presented, however, implicit attitudes revealed a slow, linear change trajectory resulting from the on-going accrual of information about the attitude object. Implications for the processes underlying implicit and explicit attitudes are discussed.Rydell et al. (2007) documented a dissociative pattern of updating such that implicit (automatic) evaluations changed continuously, whereas explicit (controlled) evaluations changed asymptotically in response to increasing amounts of counterattitudinal information. The present project consisted of two preregistered experiments (total N = 1,090). In Experiment 1, implemented as a close replication, implicit evaluations changed asymptotically, whereas explicit evaluations changed continuously, thus deviating from the original result. In Experiment 2, designed as a test of boundary conditions, neutral statements were omitted from the learning phase, and implicit evaluation measurement was improved. Here, implicit and explicit evaluation change were both asymptotic. These results demonstrate that the functional trajectories of evaluative updating are highly variable across independent investigations. Given that these divergent patterns are challenging to reconcile with any single existing account, they underscore the value of grounding future research in quantitative models of learning.
Benedek Kurdi@benedek.bsky.social · 4mo ago

How does amount of counterattitudinal information influence whether and how much attitudes change? Rydell et al. (2007) found that implicit evaluations changed slowly and incrementally, whereas explicit evaluations changed abruptly in response to counterattitudinal info.

A plot showing incremental implicit evaluation change in response to 20, 40, 60, 80, and 100 counterattitudinal statements.
Dan Quintana@dsquintana.bsky.social · 3w ago

New preprint! 🎉 I analysed 1660 papers from 4 psychology journals and found materials sharing went from 9% of papers in 2015 to 82% in 2025, and these materials *do* get downloaded — a median of 135 times each. BUT shared code is often hard to run. doi.org/10.31234/osf... Let's walk through it 🧵

Two-panel figure. Panel a is a flow diagram tracking 1,611 empirical psychology articles from publication year (545 in 2015, 552 in 2020, 514 in 2025) to repository-link type: 785 link an OSF project, 85 link another platform, and 741 link no repository. Of those with an OSF link, download counts were retrieved for 670 and not retrieved for 115. Panel b is a line chart of the share of empirical papers linking OSF across 2015, 2020 and 2025. The overall rate, shown as a dashed black line, rises from 9% to 57% to 82%. All four journals rise steeply and end close together: Psychological Science 92%, JESP 89%, JML 83%, Cognition 76%, with Psychological Science highest throughout.Three-panel figure. Panel a: ridgeline plot of downloads per file by material type on a log scale, with the percentage never downloaded labelled for each — archive 16% of 545 files, documents 20% of 2,970, code 12% of 3,471, other 17% of 1,646, data 21% of 10,051, media 35% of 2,120, images 35% of 4,102. Most files cluster between 1 and 10 downloads, with long right tails past 100. Panel b: ridgeline plot of downloads per paper by journal, log scale, with dashed median lines; Psychological Science is highest, then JESP, JML and Cognition. Panel c: stacked bars showing, for documents, data and code separately, the share of papers by download band (0, 1–10, 11–100, more than 100) in 2015, 2020 and 2025. The share exceeding 100 downloads falls sharply over time in all three types, from roughly two-thirds in 2015 to a quarter or less in 2025, as the 1–10 band grows.Four-panel figure. Panel a: statistical languages detected among 333 papers with retrievable code — R 88%, SPSS 12%, Stata 4%, SAS 1%. Panel b: code red flags among those 333 papers — 34% hard-code an absolute path, 40% reference a missing file — above documentation among 672 OSF-linked papers — 21% have a README, 30% are documented by README, description or wiki. Panel c: among 562 Elsevier papers with no repository link, 44% (245) host at least one journal supplementary file but only 14% (77) host data, code or an archive. Panel d: composition of those 448 hosted files — documents 52%, data 21%, media 9%, other 7%, archive 6%, code 3%, images 1%. The code panels are green, the journal-supplement panels blue.Coefficient plot (download predictors) Dot-and-whisker plot of three standardised predictors of OSF download volume, each with a 95% confidence interval. Repository size (number of files) has the largest effect at about 0.76, citations about 0.38, and altmetric attention about 0.12. All three intervals sit entirely above zero, so each predicts more downloads, with repository size roughly twice the effect of citations and six times that of attention. X-axis: standardised effect, −0.2 to 1.0.
Benedek Kurdi@benedek.bsky.social · 4w ago

🚀 Project Implicit’s critical work continues! Our website remains fully operational 24/7, collecting data and launching new studies. We are finalizing a new organizational structure to carry our research and educational mission forward. Thank you to our global community. ➡️ implicit.harvard.edu

September 17, 2026 Project Implicit Continues its Critical Work We are more excited than ever to not only continue but to expand the scientific collabora-tion at the heart of Project Implicit. With the non-profit that served as our operational home for two decades shutting down, a new organizational structure is being finalized to carry our research and educational mission forward. In the meantime, the Project Implicit website (http://implicit.harvard.edu/) remains fully operational and continues to collect data 24/7. New studies, programs, and educational ef-forts are actively underway. We expect public data to remain available in perpetuity, and new data from 2026 will be released in January of next year. We express our deep gratitude to everyone who has helped create, sustain, and grow Pro-ject Implicit. This includes the founders, members of the Board of Directors and the Scien-tific Advisory Board, staff members of the non-profit, international collaborators, and the students across dozens of labs tending to tasks big and small. We are also thankful to our generous donors who have answered our calls and supported our mission, and especially the millions of annual visitors who continue to honor us with their curiosity, time, and data. We look forward to providing more details in the weeks ahead. Jordan Axt, McGill University Yoav Bar-Anan, Tel-Aviv University Benedek Kurdi, University of Illinois Calvin Lai, Rutgers University Ryan Lei, Haverford College Curtis Phills, University of Oregon Kate Ratliff, University of Waterloo Colin Tucker Smith, Wilfrid Laurier University Jennifer Steele, York University Heidi Vuletich, University of Denver
Brian Nosek@briannosek.bsky.social · 4w ago

I am sad to share that Project Implicit, my first non-profit and foundation of my career, is closing. The IAT website will continue, managed by the next generation of leaders in implicit bias research. Here's the statement I posted to LinkedIn. It didn't vibe right as a bsky thread.

Benedek Kurdi@benedek.bsky.social · 4w ago

🚀 Project Implicit’s critical work continues! Our website remains fully operational 24/7, collecting data and launching new studies. We are finalizing a new organizational structure to carry our research and educational mission forward. Thank you to our global community. ➡️ implicit.harvard.edu

September 17, 2026 Project Implicit Continues its Critical Work We are more excited than ever to not only continue but to expand the scientific collabora-tion at the heart of Project Implicit. With the non-profit that served as our operational home for two decades shutting down, a new organizational structure is being finalized to carry our research and educational mission forward. In the meantime, the Project Implicit website (http://implicit.harvard.edu/) remains fully operational and continues to collect data 24/7. New studies, programs, and educational ef-forts are actively underway. We expect public data to remain available in perpetuity, and new data from 2026 will be released in January of next year. We express our deep gratitude to everyone who has helped create, sustain, and grow Pro-ject Implicit. This includes the founders, members of the Board of Directors and the Scien-tific Advisory Board, staff members of the non-profit, international collaborators, and the students across dozens of labs tending to tasks big and small. We are also thankful to our generous donors who have answered our calls and supported our mission, and especially the millions of annual visitors who continue to honor us with their curiosity, time, and data. We look forward to providing more details in the weeks ahead. Jordan Axt, McGill University Yoav Bar-Anan, Tel-Aviv University Benedek Kurdi, University of Illinois Calvin Lai, Rutgers University Ryan Lei, Haverford College Curtis Phills, University of Oregon Kate Ratliff, University of Waterloo Colin Tucker Smith, Wilfrid Laurier University Jennifer Steele, York University Heidi Vuletich, University of Denver
Brian Nosek@briannosek.bsky.social · 4w ago

I am sad to share that Project Implicit, my first non-profit and foundation of my career, is closing. The IAT website will continue, managed by the next generation of leaders in implicit bias research. Here's the statement I posted to LinkedIn. It didn't vibe right as a bsky thread.

Wouter Kool@wouterkool.bsky.social · last mo.

🚨 WashU is hiring! 🚨 As part of WashU’s +AI Initiative, the search includes tenure-track opportunities in Psychological & Brain Sciences for people who place AI or machine learning at the center of their research. I'm on the committee, so feel free to reach out with questions. Please repost!

Rules of Life

Recruiting interdisciplinary expertise to explore fundamental questions regarding living systems and the physical world

insideartsci.washu.edu

Laura Schlingloff-Nemecz@laurasn.bsky.social · last mo.

This is now out in Perspectives on Psych Science: doi.org/10.1177/1745...

Social-Information Seeking in Development: The Child as Experimental Psychologist - Laura Schlingloff-Nemecz, Azzurra Ruggeri, 2026

Research has established that children are “naive psychologists,” adept at understanding and navigating the social world from an early age. However, most of thi...

doi.org

Laura Schlingloff-Nemecz@laurasn.bsky.social · 6mo ago

New preprint: "Social-information seeking in development: The child as experimental psychologist" (w/ Azzurra Ruggeri). osf.io/preprints/ps... We review literature on how children use their information-seeking and hypothesis-testing skills to learn about other agents, & ask whether...

Sam Gershman@gershbrain.bsky.social · 2mo ago

@arthurpr4t.bsky.social has a new preprint with important results on a famous psychophysical law (Weber's law). It isn't, in fact, a law, because it can be broken. A more fundamental principle (efficient coding) shows when and why Weber's law holds true. www.biorxiv.org/content/10.6...

Efficient coding makes and breaks Weber's law

Weber's law is a rare quantitative regularity in psychology, yet its origins remain debated. Here we provide causal evidence that it arises from the more fundamental principle of efficient coding. Thi...

biorxiv.org

Taylor Chamberlain@tchamberlain.bsky.social · 2mo ago

Sometimes we know an experience is important in the moment. Other times, its importance only becomes clear after the fact. Do these two cases have different consequences for memory? In our new paper we found that both kinds of prioritization impact memory in different ways! doi.org/10.1162/OPMI...

Prioritizing Detailed Item Memories Through Post-Encoding Motivation Requires Consolidation

Abstract. Prioritizing memories that are motivationally salient is adaptive for goal-directed behavior, ensuring that information being retained is the most relevant to future goals. Past research dem...

doi.org

Lisa DeBruine@debruine.bsky.social · 2mo ago

You can use this R function to download all of the files associated with an OSF project. Improvements are coming in the next version to include registrations. Should we add a function to download all your public and private projects? osf_file_download(“abcde”) www.scienceverse.org/metacheck/

Check Research Outputs for Best Practices

A modular, extendable system for checking research outputs for best practices using text search, R code, and/or (optional) LLM queries.

scienceverse.org

Joe Bak-Coleman@jbakcoleman.bsky.social · 2mo ago

On the off chance you're relying on OSF to store your data; put copies of it somewhere safe ASAP. I like to think they've got the runway to keep storing things like they suggest, but it wouldn't be the first time something like this went dark on the internet. www.cos.io/osf-changes

Brian Nosek@briannosek.bsky.social · 2mo ago

Over the next several months, we will phase out some popular OSF features. These changes do not affect current public content, which remains safe and accessible. We have prepared support material to help users adapt. I am very sorry for the disruption to your work. Please read this post for details.

OSF Changes | Center for Open Science

We are preparing substantial changes to OSF that will reduce its functionality, focus OSF on its unique strengths, and move toward an integrated model with complementary services. As part of that shif...

cos.io