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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · 16d

Yes, please! I'm fluent :)

Caspar van Lissa 🟥 @cjvanlissa.bsky.social · 16d

Is anyone willing to share their slides on philosophy of science for undergraduate (statistics) students, especially as it pertains to the hypothetico-deductive framework? Here are my current notes on the topic: lnkd.in/eB-TZGDK

This link will take you to a page that’s not on LinkedIn

lnkd.in

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · 17d

Any experiences with "Journal of Computational Social Science"? I reviewed a manuscript that should have been desk-rejected (grammatically incorrect, not embedded in relevant literature, ad-hoc and nonsensical analysis decisions); the decision was "minor revision" based on ONLY my review. How!?

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Olivia Guest · Ολίβια Γκεστ @olivia.science · Sep 6

Finally! 🤩 Our position piece: Against the Uncritical Adoption of 'AI' Technologies in Academia:
doi.org/10.5281/zeno...

We unpick the tech industry’s marketing, hype, & harm; and we argue for safeguarding higher education, critical
thinking, expertise, academic freedom, & scientific integrity.
1/n

Abstract: Under the banner of progress, products have been uncritically adopted or
even imposed on users — in past centuries with tobacco and combustion engines, and in
the 21st with social media. For these collective blunders, we now regret our involvement or
apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we
are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not
considered a valid position to reject AI technologies in our teaching and research. This
is why in June 2025, we co-authored an Open Letter calling on our employers to reverse
and rethink their stance on uncritically adopting AI technologies. In this position piece,
we expound on why universities must take their role seriously toa) counter the technology
industry’s marketing, hype, and harm; and to b) safeguard higher education, critical
thinking, expertise, academic freedom, and scientific integrity. We include pointers to
relevant work to further inform our colleagues.

Figure 1. A cartoon set theoretic view on various terms (see Table 1) used when discussing the superset AI
(black outline, hatched background): LLMs are in orange; ANNs are in magenta; generative models are
in blue; and finally, chatbots are in green. Where these intersect, the colours reflect that, e.g. generative adversarial network (GAN) and Boltzmann machine (BM) models are in the purple subset because they are
both generative and ANNs. In the case of proprietary closed source models, e.g. OpenAI’s ChatGPT and
Apple’s Siri, we cannot verify their implementation and so academics can only make educated guesses (cf.
Dingemanse 2025). Undefined terms used above: BERT (Devlin et al. 2019); AlexNet (Krizhevsky et al.
2017); A.L.I.C.E. (Wallace 2009); ELIZA (Weizenbaum 1966); Jabberwacky (Twist 2003); linear discriminant analysis (LDA); quadratic discriminant analysis (QDA).

Table 1. Below some of the typical terminological disarray is untangled. Importantly, none of these terms
are orthogonal nor do they exclusively pick out the types of products we may wish to critique or proscribe.

Protecting the Ecosystem of Human Knowledge: Five Principles

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Reposted by Caspar van Lissa 🟥

Jonathan Peelle @jpeelle.bsky.social · Jul 23

I was reminded today of the heroic work done by @eikofried.bsky.social and
@robinnkok.bsky.social to see what information Elsevier collects on academics and was re-horrified. 🧵 (1/5)

eiko-fried.com/welcome-to-h...

#academicsky

Welcome to Hotel Elsevier: you can check-out any time you like … not » Eiko Fried

A journey by Robin Kok and Eiko Fried trying to understand what private data Elsevier collects; what private data Elsevier sells; and what to do about it.

eiko-fried.com

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Reposted by Caspar van Lissa 🟥

International Conference on Computational Social Science @ic2s2.bsky.social · Jul 23

Day 2 Keynotes kicked off with Laura Nelson's inspiring presentation, “Why Qualitative Research Needs Computational Social Science”. What is the state of this maturing field called qualitative computational methods? What are the ongoing debates and futures? #ic2s2

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Jul 23

Loving @ic2s2.bsky.social , but I wonder if we're asking the right questions. Is "How can I outsource this task to a proprietary, black box, resource-intensive, often un-validated LLM?" when fit-for-purpose classifiers abound a computational a computational research question? Or even scientific?

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Jul 21

At my preconference workshop @ic2s2.bsky.social participants will conduct a *fully reproducible* and *FAIR theory based* simulation study.
The full interactive tutorial is in the theorytools R-package docs: cjvanlissa.github.io/theorytools/...
And slides: cjvanlissa.github.io/worcshop/ic2...

This link will take you to a page that’s not on LinkedIn

lnkd.in

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Jun 24

To be FAIR: Theory specification needs an update! Theories that others can reuse and update help navigate the "theory crisis". The theorytools R-package now has tutorials showing how to make theories FAIR and use them to select covariates, simulate data, etc

osf.io/preprints/ps...

OSF

osf.io

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Platform for Young Meta-Scientists (PYMS) @youngmetascience.bsky.social · May 21

🚨 Program Highlight!

We're thrilled to welcome @cjvanlissa.bsky.social as our keynote speaker on June 5th! He’ll present his work on FAIR theory—a framework to make theories Findable, Accessible, Interoperable & Reusable—and share his path as a meta-scientist. #openscience #FAIRtheory #metascience

Keynote speaker
Caspar J. van Lissa
To be FAIR: Theory specification needs an update

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Apr 29

The late Caryl Rusbult told me: in academia, celebrate all the small successes.

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Apr 28

I'm hiring a PHD candidate in Machine Learning-Informed Formal Theory Construction. Please encourage talented students to apply, or reach out if you want to collaborate. Looking for machine learning, theory development, and programming skills, and interdisciplinary interests! See tiu.nu/22752

Job opening: PhD candidate in Machine Learning-Informed Formal Theory Construction (22752)

tiu.nu

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Apr 11

For @tilburg-university.bsky.social 's #sciencequest podcast, I discussed the question: Do we still need scientific models? Can we not just use AI to answer all of our questions? The interview is in Dutch, accompanying text in English: www.tilburguniversity.edu/magazine/ove...

The AI bubble: Why scientific models remain essential | Tilburg University

From ChatGPT to self-driving cars, AI promises a revolutionary future. But is this technology truly as groundbreaking as often claimed? A conversation with Caspar van Lissa, Associate Professor of Soc...

www.tilburguniversity.edu

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Calvin Lai @calvinklai.bsky.social · Mar 28

Extremely disappointing & cowardly. The American Psychological Association is rescinding diversity requirements. Not due to any actual mandate from the federal government, but only because it may *someday* face pressure from the government www.nytimes.com/2025/03/27/h...

Under Pressure, Psychology Accreditation Board Suspends Diversity Standards

As the Trump administration threatens to strip accrediting bodies of their power, many are scrambling to purge diversity requirements.

www.nytimes.com

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Mar 27

They're leggings, best kept secret for climbing hard!

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Daniel Lakens @lakens.bsky.social · Mar 27

Went bouldering with Noah van Dongen and @cjvanlissa.bsky.social. Noah got a Veni grant this year, Caspar a Vidi, and I received a Vici, so we had to make this picture 😊 We will also work together in our projects on improving theorising in psychology!

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ScienceGuide @scienceguide.bsky.social · Mar 19

Alle Europese landen zijn serieus werk aan het maken van het aantrekken van Amerikaanse wetenschappers. Behalve de Nederlandse coalitie van "boekhouders en ruziemakers", zegt
Rob Jetten van D66. Het kabinet is dit ook niet van plan, zegt Dick Schoof.

Kabinet wil geen actieplan om Amerikaanse wetenschappers aan te trekken - ScienceGuide

Maak speciaal actieplan om Amerikaanse wetenschappers en experts naar Nederland te halen, zeggen D66 en Volt. Premier Dick Schoof voelt echter weinig voor een specifieke focus op Amerikaanse kennismig...

www.scienceguide.nl

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Mar 18

Bridging the gap between #R package documentation and #openscience Open Educational Materials, I'm embedding formative quizzes in the package vignettes (based on @debruine.bsky.social 's webexercises)! Check the development version of github.com/cjvanlissa/t... to see how it's done.

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Mar 10

To be FAIR: Theory needs an update! FAIR theory can be shared, reused in analysis software, and updated based on new findings. Using existing #openscience infrastructure, it streamlines collaboration, reduces research waste, and accelerates cumulative knowledge development osf.io/preprints/ps...

OSF

osf.io

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Mar 6

Revising papers became easy when I discovered James Conigrave's "revise" package, which inserts tagged snippets from a manuscript into a revision letter! No more back-and-forth, no more consistency checking. Now on CRAN, may it save you as much time as it did me! cran.r-project.org/web/packages...

revise: Dynamic Revision Letters for 'Rmarkdown' Manuscripts

Extracts tagged text from markdown manuscripts for inclusion in dynamically generated revision letters. Provides an R markdown template based on papaja::revision_letter_pdf() with comment cross-refere...

cran.r-project.org

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Mar 4

Who is "the researcher of tomorrow"? Will we be replaced by AI? I really enjoyed discussing these issues in front of a live audience with Studium Generale Tilburg

The video starts on the panel discussion, but make sure to check Nathan Wildman's inspiring lecture too

www.youtube.com/watch?v=0oRx...

Mini-symposium: The Researcher of Tomorrow - Studium Generale - Tilburg University

YouTube video by TilburgUniversity

www.youtube.com

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Olivia Guest · Ολίβια Γκεστ @olivia.science · Mar 1

Tired but happy to say this is out w @andreaeyleen.bsky.social: Are Neurocognitive Representations 'Small Cakes'? philsci-archive.pitt.edu/24834/

We analyse cog neuro theories showing how vicious regress, e.g. the homunculus fallacy, is (sadly) alive and well — and importantly how to avoid it. 1/

In order to understand cognition, we often recruit analogies as building blocks of theories to aid us in this quest. One such attempt, originating in folklore and alchemy, is the homunculus: a miniature human who resides in the skull and performs cognition. Perhaps surprisingly, this appears indistinguishable from the implicit proposal of many neurocognitive theories, including that of the 'cognitive map,' which proposes a representational substrate for episodic memories and navigational capacities. In such 'small cakes' cases, neurocognitive representations are assumed to be meaningful and about the world, though it is wholly unclear who is reading them, how they are interpreted, and how they come to mean what they do. We analyze the 'small cakes' problem in neurocognitive theories (including, but not limited to, the cognitive map) and find that such an approach a) causes infinite regress in the explanatory chain, requiring a human-in-the-loop to resolve, and b) results in a computationally inert account of representation, providing neither a function nor a mechanism. We caution against a 'small cakes' theoretical practice across computational cognitive modelling, neuroscience, and artificial intelligence, wherein the scientist inserts their (or other humans') cognition into models because otherwise the models neither perform as advertised, nor mean what they are purported to, without said 'cake insertion.' We argue that the solution is to tease apart explanandum and explanans for a given scientific investigation, with an eye towards avoiding van Rooij's (formal) or Ryle's (informal) infinite regresses.

Figure 1 in https://philsci-archive.pitt.edu/24834/

Box 1 in https://philsci-archive.pitt.edu/24834/

Box 2 in https://philsci-archive.pitt.edu/24834/

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Feb 28

Is the AI bubble bursting? Maybe for ChatGPT, but there is now widespread support for automating everyday tasks. Academics build small specialized models, trained on high quality data, informed by domain knowledge. It's time to incorporate these into everyday workflows instead of "asking ChatGPT".

‘Wetenschap kan wat AI niet kan’ - ScienceGuide

Nu AI-modellen onbetrouwbaar blijken, moeten wetenschappers de hunne naar de praktijk brengen, zegt Caspar van Lissa.

www.scienceguide.nl

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Noam Ross @noamross.net · Feb 5

Open Science and Open Source only with Diversity, Equity, Inclusion and Accessibility.

Inclusion is essential to science, and science is only worthwhile if it lifts everyone up together.

ropensci.org/blog/2025/02... #OpenSource #OpenScience

Open Science and Open Source only with Diversity, Equity, Inclusion, and Accessibility

Including all of humanity is and always will be at the heart of open science.

ropensci.org

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Caspar van Lissa 🟥 @cjvanlissa.bsky.social · Feb 5

Did this interview (Dutch) for @tilburg-university.bsky.social series "The Career Path", about interdisciplinarity, open science, and collaboration. Hopefully, this will encourage young scholars to pursue their curiosity and contribute to research that matters. www.youtube.com/watch?v=9z5h...

Het loopbaanpad van: Caspar van Lissa

YouTube video by TilburgUniversity

www.youtube.com

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