Matthieu Boisgontier

@matthieuboisgontier.com

Professor contributing to @pci-hms.bsky.social & @cik.bsky.social. #OpenScience. All comments are my own. www.linkedin.com/in/matthieuboisgontier

ASAPbio is planning a refresh of its Preprint Services Directory! As part of the refresh, we intend to narrow the features we catalog to make the directory more focused and, therefore, more useful. Learn more and let us know your thoughts about the proposed changes! 💬

Proposed Updates To Preprint Services Directory: Request For Comments – ASAPbio

ASAPbio is planning a refresh of its Preprint Services Directory (https://asapbio.org/preprint-servers/). Since 2020, ASAPbio has maintained the directory on

buff.ly

Our metacheck package now has an online manual! In 29 short chapters we explain how to set up metacheck (running all modules 100% locally if you want), and explain the 18 available modules. www.scienceverse.org/metacheck_bo... We are still in beta, and would love to get feedback!

The Metacheck Manual

A guide to Metacheck, an R package providing a module based tool for checking scientific manuscripts and data repositories for best practices using text search, R code, and optional LLM queries.

scienceverse.org

When editors work with clients and coworkers, it helps to understand that words and language can have different meanings and effects for some people and groups. Our new handbook can help you make thoughtful choices based on current best practices. Download it free here: editors.ca/publications...

Editing with Respect: Equity, Diversity and Inclusion 2026 - Editors Canada

This handbook guides readers through EDI in writing, and includes considerations and practices for editing inclusively and sensitively.

editors.ca

Last call for you to join us as Associate Director in charge of Publishing Services! If you are questioning yourself, you should apply anyway! Many folks opt out of applying for roles like this because they think they are not good enough. Give yourself a chance!

Public Knowledge Project@pkp.sfu.ca · 2mo ago

Apply by June 5th to join PKP as Associate Director in charge of Publishing Services: Help folks using PKP software for independent, scholar-led #ScholarlyPublishing get hosting and other services so they can increase the reach, quality and diversity of their work for the global public good! ⤵️

"Qui, en 2021, aurait pu prédire que ce nouveau-né de la presse scientifique fêterait aussi fièrement son 5e anniversaire?" @lemonde.fr revient sur notre aventure: un magazine papier indépendant (notre modèle repose à 97% sur les abos). Et à l'équilibre. Oui, c'est un bel anniversaire. epsiloon.com

Pour les journalistes d’« Epsiloon », il y avait une vie après « Science & Vie »

Le mensuel fondé par les anciens du magazine scientifique, propriété du groupe Reworld Media, fête son cinquième anniversaire et espère atteindre les 40 000 abonnés à la fin de l’année.

lemonde.fr

if any AI bro tries to claim to you (as they very often do generally) that we don't understand these models, remember: they are creating a false narrative even, especially, under scientific meanings of terms like "understanding"

Olivia Guest · Ολίβια Γκεστ@olivia.science · 3mo ago

Preprinted! Been working on this for ~1 year w wonderful coauthors Nancy & Mark: > Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism doi.org/10.5281/zeno... Have you noticed many experts say they don't understand AI? What's going on? 🤯 Let us tell you... 1/

Understanding Artificial Neural Networks:
Mysterianism about Known Mechanism is Mysticism
Olivia Guest1,2, Nancy Abigail Nuñez Hernández3, and Mark Blokpoel1,2
1Department of Cognitive Science and Artificial Intelligence, Radboud University, The Netherlands
2Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands
3Facultad de Estudios Superiores Acatlán-Universidad Nacional Autónoma de México, Mexico
Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this
concept and applying it to known mechanism — such that claims are made that we do not
know how engineered systems, such as artificial neural networks (ANNs), work, or that they
constitute black boxes that we can only open with difficulty — is inappropriate at best and
malicious at worst. We do know the mechanistic structure of such models because we designed
and built them. We also do know their functional role (what they are for) as well as the
mathematical function they are asked to approximate (map inputs to target outputs). Because
mysterianist beliefs about known systems, such as ANNs, are often expressed, scientists need
to sit up and take notice. We provide an error theory as to what is going on to help unpick
this metatheoretical blunder. Ultimately, the problem is that ‘understanding’ is not a technical
term in these cases: the word is co-opted for a specific narrative to sell ‘artificial intelligence’
through mystification. All computational systems, from pendulums to databases, will behave
in ways we cannot predict or control — this is not a unique property of ANNs — and experts
do indeed grasp the computational properties of these systems nonetheless.
Keywords: artificial neural networks; mechanism; black box; epistemology; artificial
intelligence; understanding

Others have said as much but I can confirm that the reviewer crisis does not apply to well-known/high-status/controversial authors. For normal papers you need to invite tons of reviewers, so you get used it. If it’s a big-fish paper and you didn’t do the link-reviewers things, you end up with this.

Wimsatt: Perhaps, just perhaps, the best explanation of a phenomenon at a given level is to be found at the same level. Kendler: Noone would seek to explain hypertension at the level of quarks. A few of my favourite papers on this topic of absurd biological reductionism: 🧵

Brent W. Roberts@bwroberts.bsky.social · 3mo ago

This...the fetishizing of unreplicable neuroscience in order to legitimize our work is self-defeating. We don't need to know that depression is in the brain (as opposed to what???) to know it is problematic. How much money have we wasted proving something like depression is "real"?

A meta-analysis is not a ‘easy’ publication. Search strategy development, screening, more screening, data extraction, requesting additional data, risk of bias assessments, the actual synthesis, write up—it all takes time. Many people heavily underestimate the resources required to complete one

Dan Quintana@dsquintana.bsky.social · 3mo ago

So we emailed the authors of all 358 unpublished registrations. 80 wrote responded. The reasons they gave were almost entirely logistical: no time (47%), people leaving the project (11%), no funding (7%). Only one person cited non-significant results as a reason for not publishing.

Reasons for discontinuation among respondents who no longer intend to publish (n = 62; respondents could select multiple reasons)