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Hu Chuan-Peng is on paternity leave

@hcp4715.bsky.social
1.5K followers 2.1K following 271 posts

Currently on paternity leave | Self cognition | computational modeling | meta-science, open science, diversity| amateur climber

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Reposted by Hu Chuan-Peng is on paternity leave
Christoph Strauch @cstrauch.bsky.social · 02/10/2026
How much of a risk are LLM-generated bots for online behavioral experiments? We present results of an entirely natural language prompt-generated agent, capable of absolving any of the 26 experiments we tested it on. Most tasks are passed with data that can pass as human osf.io/preprints/ps... (1/)
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Matthias Nau @matthiasnau.bsky.social · 02/10/2026
Important work showing just how easily AI agents can pass online behavioral experiments! Safeguards need to keep up if we want to continue online testing!👇
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Dr Cyril Pernet @cyrilrpernet.bsky.social · 02/10/2026
😍
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rogier kievit @rogierk.bsky.social · 02/10/2026
Exactly this. Make yourself and your work easily findable. Yes, also if you are just starting - Perhaps you gave an impressive talk or an exciting poster, and I want to know more, invite you to something, or recommend you to a colleague. I can't count the number of times I just gave up & moved on
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Stefano Palminteri @stepalminteri.bsky.social · 01/10/2026
1/ Very proud of this preprint — and especially because it marks a first step for our lab in a new direction: using what we know about learning not only to diagnose misconceptions, but also to correct them. zenodo.org/records/2303...
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Matti Vuorre @matti.vuorre.com · 01/10/2026
Good talk. There's a lot of (over)thinking of this at the moment. Zenodo just works. (Until it doesn't when we and our bots ruin that as well.) Collaborate on GitHub and refer to zenodo.
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samuel mehr @mehr.nz · 02/10/2026
another reason to uphold academic norms of prohibiting AI slop in papers: nobody wants to read all this shit, nor could anyone read all this shit if they did want to
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Thomas Talhelm @thomastalhelm.bsky.social · 30/09/2026
Join me at the Historical Psychology Pre-Conference at SPSP. It'll be fun to finally get to join this pre-conference! 🤩 @spspnews.bsky.social
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Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 28/09/2026
Is there a version outside the paywell?
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Mark Ho @markkho.bsky.social · 26/08/2026
@harootonian.bsky.social 's paper on cognitive strategies in teaching is now out in Nature Human Behavior! 🎉🎉 Very excited about this line of work bc it combines efficient decision-making with theory of mind - check out Sev's thread 👇
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Jörn Alexander Quent @jaquent.bsky.social · 23/09/2026
Proud to share our latest preprint with my very special @mengya-zhang.bsky.social (🥰). Briefly, we studied how the degree to which CA1 responses are the same (reinstatement) or different (novelty response) supports memory, echoing a central tension in the field. www.biorxiv.org/content/10.6...
biorxiv.org
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laserhedvig @laserhedvig.bsky.social · 21/09/2026
Interdisciplinary research is great and necessary, and also has consistently lower funding success www.nature.com/articles/nat... #academiclabourmarket #academia #research
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David Poeppel @davidpoeppel.bsky.social · 01/09/2026
Speech production is fast, complicated, cool (when the right thing is said...) Covert speech is a nice trick to study this. If you like speech planning, forward models, efference copies, brains this work is (we hope) helpful to clarify the brain mechs. #neuroskyence www.pnas.org/doi/10.1073/...
pnas.org
Temporally structured motor and auditory representations in covert syllable production | PNAS
Inner speaking—the deliberate generation of speech through covert production mechanisms—is a common human experience. Current accounts propose that...
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Jörn Alexander Quent @jaquent.bsky.social · 21/09/2026
My latest work on how both hippocampal consistency and differentiation can support single-item recognition memory.
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Julia Strand @juliafstrand.bsky.social · 19/09/2026
New preprint with @violetsarebrown.bsky.social: "Measuring Up: Accessible Approaches for Improving Measurement Practices in Psychological Science." The aim of the paper is to reduce barriers to entry to doing measurement work in Psychology. #schmeasurement osf.io/preprints/ps...
osf.io
OSF
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ejwagenmakers.bsky.social @ejwagenmakers.bsky.social · 19/09/2026
Hi Dan! Cool stuff. Did you see the paper by Julius Pfadt? doi.org/10.31234/osf... I see certain similarities...
doi.org
OSF
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Dan Quintana @dsquintana.bsky.social · 19/09/2026
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.
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Dan Quintana @dsquintana.bsky.social · 20/09/2026
Check how reusable your OSF materials are with my new app, which is part of my latest preprint. Plug in up to ten OSF repo links, and you’ll get a brief report + tips for fixing issues ⬇️
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Tarryn Balsdon @tarrynbalsdon.bsky.social · 24/08/2026
Metacognition at #ECVP2026 17h Bayview In addition to great talks, come find out if my low prospective confidence in being a good session chair is accurate 🤣 (the last session can go late right?)
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Marlene Cohen @marlenecohen.bsky.social · 10/09/2026
Now out in Nature Neuroscience: fantastic work by @cxue.bsky.social, Sol Markman et al who discovered a neural reason that performance suffers under cognitive load: “Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty”. www.nature.com/articles/s41... 🧪🧵1/
nature.com
Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty - Nature Neuroscience
Using a combined approach of monkey electrophysiology, artificial neural networks and human psychophysics, Xue et al. show that neuronal interference from irrelevant information underlies behavioral e...
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Prof. Gillian Brown @gillianrbrown1.bsky.social · 17/09/2026
🚨Call open for manuscripts on 'Metascience of the evolutionary human sciences' for a Special Collection in EHS, co-edited by @louisbachaud.bsky.social, @hclarkbarrett.bsky.social and myself. @ehbea.bsky.social @humbehevosoc.bsky.social @culturalevolsoc.bsky.social www.cambridge.org/core/journal...
cambridge.org
Call for papers
Welcome to Cambridge Core
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DFG-funded Research Unit "Beyond Crazy" @beyond-crazy.bsky.social · 18/09/2026
We are delighted (and soooooo happy) that the DFG will fund the first four years of our Research Unit “𝗕𝗲𝘆𝗼𝗻𝗱 𝗖𝗿𝗮𝘇𝘆: 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝗖𝗼𝗻𝘀𝗽𝗶𝗿𝗮𝗰𝘆 𝗕𝗲𝗹𝗶𝗲𝗳𝘀”. We will seek 8 Ph.D. candidates and a postdoctoral coordinator to start in Spring 2027.
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Jan Vanhove @janhove.bsky.social · 18/09/2026
New blog post: "Cluster analysis: A skeptic’s guide". In which I ask a few questions that social scientists wishing to identify hidden classes in their data ought to address. janhove.github.io/posts/2026-0...
A two-dimensional scatterplot showing a three-cluster solution.

Caption: "Figure 2: A visualisation of a Latent Profile Analysis fit. Such visualisations may help readers appreciate that the clusters aren’t nicely separated and that the researchers’ notion of clusters may not correspond to their own."Table of contents:

Refresher: What is cluster analysis?
What are the clusters for?
What clusters, exactly?
Does the pipeline work?
What does the solution look like?
When running follow-up analyses, how is the uncertainty in the cluster assignments taken into account?
Was it worth it?
Conclusion
References
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Simon Columbus @simoncolumbus.bsky.social · 18/09/2026
Today's Cooperation Colloquium
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Prof Sarah-Jayne Blakemore @sjblakemore.bsky.social · 15/09/2026
Last year, I was honoured to give the Huttenlocher Lecture at the @fluxsociety.bsky.social conference. Over the past year, I’ve been writing it into a paper: The developing adolescent brain: Implications for youth justice and children in criminal proceedings www.sciencedirect.com/science/arti...
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Daniel Lakens @lakens.bsky.social · 15/09/2026
On the 1st of October I will give a talk on sample size justification for the PCI webinar series. I'll discuss the importance of considering a smallest effect size of interest when planning a study, and how to use sequential designs when there is uncertainty. peercommunityin.org/pci-webinar-...
peercommunityin.org
PCI Webinar Series - Peer Community In
The PCI webinar series is a series of seminars on research practices, publication practices, evaluation, scientific integrity, meta-research, organised by Peer Community In
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The Transmitter @thetransmitter.bsky.social · 15/09/2026
300 early-career neuroscientists commented on the future of the field in a new survey led by @neuromatch.bsky.social and @thetransmitter.bsky.social. #neuroskyence By Paige Miranda www.thetransmitter.org/science-and-...
thetransmitter.org
‘High risk, high reward’: How early-career neuroscientists view their future
The Transmitter and Neuromatch surveyed more than 300 early-career neuroscientists to better understand their unique challenges, career aspirations and support needs.
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Thomas Talhelm @thomastalhelm.bsky.social · 16/09/2026
🚨 It's published! 🚨 This is the big one. 100 cultures, 12,000 people, 108 researchers. Why people (and our most-used surveys) get collectivism wrong and how to fix it. www.nature.com/articles/s41... @natureportfolio.nature.com
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Olivia Guest · Ολίβια Γκεστ @olivia.science · 11/09/2026
I'm excited to share this preprint by my wonderful MSc student Yihsin who's thought deeply about how psychological & neurocognitive theories relate to different types of evidence. Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain doi.org/10.5281/zeno...

Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain
Authors/Creators

    Chuang, Yihsin
    ORCID icon
    Guest, Olivia1
    ORCID icon

Description

Computational models in psychology are typically judged by a single standard: empirical fit. Unfortunately, fit is insufficient, even misleading as a sole criterion, as the same result can arise from fundamentally different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations, or implementations that compute something other than intended. Distinguishing between these is vital. Our evaluative metatheoretical account recognises that models stand in three distinct relations: a) toward the theory whose causal commitments it purports to capture, b) toward the specification and implementation it purports to compute, and c) toward the phenomenon it purports to explain. Each relation can succeed or fail independently, governed by criteria local to that stage. Importantly, relations are ordered such that theoretical content is transmitted or lost, and losses at earlier transitions are irrecoverable downstream. What a model's empirical success implicates about its theoretical commitments, therefore, depends on whether transitions are secured. Some success or failure profiles support explanatory claims; others only prediction; others establish theoretical coherence without empirical contact. Our account diagnoses what a given model shows, replacing the implicit assumption that empirical success transfers automatically to theoretical understanding with an explicit conditional rendition of what models can and cannot establish.
a figure that looks like a cloud that stays "cognitive capacity" with an arrow pointing to a lozenge with "theory" which points to a lozenge with "specification" which points to the same with "data" which is pointed to by a cloud that says "phenomenon"
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Jörn Alexander Quent @jaquent.bsky.social · 12/09/2026
I am very excited to share this. 🧵 www.biorxiv.org/content/10.6... Most of us agree that the HC is critical for associative memory but there is growing work showing it does much more (WM etc.). Recognition partly relies on a global matching, which based on influential models is not supported by HC.
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Mark Thornton @markthornton.bsky.social · 11/09/2026
The psychology job market may be showing some early signs of regaining strength, relative to last year. A week ago last year, fewer than 200 jobs had been listed - today, it is nearly 300, a figure we didn't hit till early October in '25. #psychjobs #neurojobs #academicjobs
Bar graph showing the number of academic jobs in psychology by area over the years from 2007-2026.
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Nature [Unofficial] @nature.com.web.brid.gy · 12/09/2026
nature.com
Successful early-career scientists rely on network of mentors
Nature, Published online: 11 September 2026; doi:10.1038/d41586-026-02827-4 Large networks are particularly beneficial to researchers in under-represented groups.
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Alessandro Gifford @alessandrogifford.bsky.social · 08/09/2026
(1/2) The EEG Moments Dataset (EMD) is now public! EMD is a large-scale dataset of simultaneous EEG and eye-tracking recordings of 6 participants for 1,102 naturalistic 3-second videos (while maintaining central fixation), together with rich video metadata. arxiv.org/abs/2608.28768
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Peer Community in Registered Reports @pci-regreports.bsky.social · 15/12/2025
We're delighted to welcome TWO new diamond-OA PCI RR-friendly journals Registered Reports in Linguistics, ed. by @scoretta.bsky.social ky.social & @jess-hampton.bsky.social + Replication Research @r2journal.bsky.social ed. by @aufdroeseler.bsky.social & team rr.peercommunityin.org/about/pci_rr...
Statement of commitment: Registered Reports in Linguistics will automatically offer Stage 1 in-principle acceptance (IPA) to any Stage 1 RR within the journal’s disciplinary scope that receives IPA at PCI RR, and will accept without further peer review any Stage 2 RR that has been recommended by PCI RR, subject to the manuscript meeting the journal requirements concerning bias control.

Disciplinary scope: Research in linguistics, including all sub-fields.Statement of commitment: Replication Research will automatically offer Stage 1 in-principle acceptance (IPA) to any Stage 1 RR within the journal’s disciplinary scope that receives IPA at PCI RR, and will accept without further peer review any Stage 2 RR that has been recommended by PCI RR, subject to the manuscript meeting the journal requirements concerning bias control and computational reproducibility.

Disciplinary scope: Replication studies across a range of physical, life, and social sciences, including digital humanities, experimental philosophy, geoscience, linguistics, management sciences, marketing, medicine, mental health, metascience, neuroimaging, neuroscience, political science, psychology, and qualitative and quantitative research methods. Studies can be robustness reproductions using the same data and code, recreate reproductions using the same data and new code, close replications using new data and the same method, or conceptual replications using new data and a different method.
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Amanda Kay Montoya @akmontoya.bsky.social · 21/01/2026
Huge news: Our lab's first Monte Carlo Simulation Registered Reports was recommended by @pci-regreports.bsky.social. Led by the indominable @jessicalfossum.bsky.social! To my knowledge this is the first completed Registered Report of a Monte Carlo Simulation! rr.peercommunityin.org/PCIRegistere...
rr.peercommunityin.org
Maximally specify models in moderated mediation
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Alex Usher @alexusherhesa.bsky.social · 06/09/2026
Well now
e.vnexpress.net
China launches largest-ever academic misconduct crackdown after PhD dropout blogger’s exposés - VnExpress International
China's top basic-research funder has disclosed its largest-ever batch of academic misconduct cases, including prominent scientists investigated after allegations by a PhD dropout went viral.
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Journal of Cognition @jcgntn.bsky.social · 25/08/2026
Some other recent content: Brysbaert, M. (2026). How to Measure the Reliability of Tasks in Experimental Psychology. Journal of Cognition, 9(1): 42, pp. 1–13. DOI: doi.org/10.5334/joc.... We suspect this will be widely useful to any scholar interested in individual differences.
doi.org
How to Measure the Reliability of Tasks in Experimental Psychology | Journal of Cognition
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Dominique Makowski @dominiquemakowski.bsky.social · 07/07/2025
🧑‍🔬💰 PhD Scholarship open for a September start at #SussexUni Great opportunity if you're interested in sleep, biological rhythms and signals, physical & mental performance, or elite sports. Application deadline: 25th July Details at: realitybending.github.io/jobs/phd/ #Psychology #PhD
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Hu Chuan-Peng is on paternity leave @hcp4715.bsky.social · 04/09/2026
added to our awesome-evidence-accumulation-models repo: bsky.app/profile/hcp4...
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CuttingEEG @cuttingeeg.bsky.social · 02/09/2026
🇳🇬 Benin city, Nigeria #CuttingGardens2026 cuttingeeg.org/cuttinggarde... 🧠 Topics Neuroethics EEG artifacts EEG Muse headsets MENDI FNIRS EEG Muse headsets compared to the MENDI FNIRS headset Careers in EEG research 🎓 Tutorials on the above topics 🫶 Thank you Benin city Gardeners! 🫶
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 02/09/2026
Congratulations to the project “The Advantage of Big Team Science: Lessons Learned From Cognitive Science,” which received🏆2026 SIPS commendation! It offers a synthesis of strategies for successfully navigating the BTS landscape, including logistical, ethical, and epistemological challenges.
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Mark Rubin @markrubin.bsky.social · 02/09/2026
“There is no published study comparing time-to-publication for registered reports against standard articles." "If anyone is interested in trying to collect this data more systematically for political science, please let me @aaronerlich.bsky.social know.”
Here is what I find genuinely strange. That claim that Chambers and Tzavella make, the one I made in July, and the one every advocate of the format concedes has never been measured. There is no published study comparing time-to-publication for registered reports against standard articles. The literature has measured the format’s quality (reviewers rated registered reports higher on all nineteen criteria tested), its rate of null results (about 44 per cent of registered-report hypotheses supported, against roughly 96 per cent of results in standard psychology articles), its citations, and how many journals offer it. Nobody has measured the clock. The nearest work asks researchers what they think the cost is: Sarafoglou and colleagues surveyed 355 researchers on preregistration and got “better science but more work”; Imai and colleagues surveyed 519 experimental economists and found that more than 80 per cent know what a registered report is, most approve of them — and adoption is near zero. Neither asked anyone for a date.
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simine vazire @simine.com · 02/09/2026
Psych Science has retracted Ariely & Wertenbroch (2002). The second author requested the retraction. Both authors agreed to it. journals.sagepub.com/doi/full/10.... So grateful to @datacolada.bsky.social for these blog posts and the work behind them: datacolada.org/138 and datacolada.org/139 1/2
journals.sagepub.com
Sage Journals: Discover world-class research
Subscription and open access journals from Sage, the world's leading independent academic publisher.
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Dorothy Bishop @deevybee.bsky.social · 02/09/2026
fantastically quick action by @simine.com! 👍
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Mark Rubin @markrubin.bsky.social · 02/09/2026
The Journal of Trial and Error is looking for a new Editor with an interest in meta-research, open science, or academic publishing. More info: www.linkedin.com/posts/were-l...
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Russ Poldrack @russpoldrack.org · 03/09/2026
We are searching for a tenure-track Assistant Professor position, with a research focus on developmental and/or social psychology. Please apply or forward to anyone who might be interested! facultypositions.stanford.edu/jobs/assista...
facultypositions.stanford.edu
Assistant Professor, Psychology - Stanford University, California, United States
The Department of Psychology at Stanford University is seeking applicants for a tenure-track Assistant Professor position, with a research focus on developmental and/or social psychology. In addition ...
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Daniel Lakens @lakens.bsky.social · 03/09/2026
The number of people doing science opportunistically is great. In 2010, these people p-hacked. In 2026, they do crap preregistrations. Just like we figured out ways to prevent p-hacking, we are finding ways to prevent opportunistic preregistration. The solution is always the same: transparancy.
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Society for the Improvement of Psychological Science (SIPS) @improvingpsych.org · 28/08/2026
Congratulations to the project “Psicometríes,” which received🏆2026 SIPS commendation! Psicometríes is a space dedicated to disseminating science, psychology, methodology, and psychometrics. buff.ly/jcpJKev
youtube.com
Psicometríes
Espacio dedicado a la divulgación de la Ciencia, la Psicología, la Metodología y la Psicometría, creado por @AliciaFrancoXVE pero abierto a quienes, desde cualquier nivel de formación, les apetezca…
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Randy Ellis @randalljellis.bsky.social · 28/08/2026
I’m a big fan of RegCheck by @jamiecummins.bsky.social. I found some deviations in a paper the other day using it regcheck.app/result/8825b... I hope journals start integrating it. I also recall our thread about registered reports having better defense against this
regcheck.app
RegCheck
RegCheck is an AI tool to compare preregistrations with papers instantly.
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Tal Golan @talgolanneuro.bsky.social · 28/08/2026
How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16
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