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#metascience

3 posts3 participants0 posts today

Following a wonderful workshop at FSCI 2025, the @force11 team is organizing a PREreview Club to review #metascience #preprints.

They are currently looking for participants to commit at various levels of engagement to help start up the club, especially people willing to help recruit people to fill roles for each review, and people who can commit to roles, such as notetaker or article selection.

If that sounds like something you'd be interested in, read more here: force11.org/post/organizing-a-

New paper alert! #statistics #metascience "On the poor statistical properties of the P-curve meta-analytic procedure" in JASA. raw.githubusercontent.com/rich

We show that the "P curve" meta-analysis tests have terrible statistical properties, in spite of being used for over a decade to tell "bad" science from "good". The initial tests should never have made it through peer review. They suffer from extreme sensitivity, arbirary conclusions, inadmissibility, nonmonotonicity in the evidence, and inconsistency in estimation. We recommend they not be used, and that better vetting is needed for methods in metascience.

Journal link: tandfonline.com/doi/full/10.10

I'm looking for someone who'd be interested in co-hosting a new metascience podcast I'm currently developing.

Also editing/producing roles if people would like to be involved. I'm looking for funding possibilities (if anyone knows any please also get in touch).

Happy to chat and share more for those interested. Ideally looking for someone active in metascience but not a strict requirement

Could AI slow progress in science?

open.substack.com/pub/aisnakeo?

what is progress in science? more papers, but fewer breakthroughs? (how do you measure “progress in science” or recognize a breakthrough?)

the low hanging fruit is picked? but progress should give is taller ladders. also, some progress is in the form of entirely new fields, new trees with new low hanging fruit.

nice bit about better pattern matching and better fits for models needs a better theory to justify the model — geocentric orbits with epicycles made better predictions than heliocentrism until Kepler realized orbits weren’t circular, but elliptic — heliocentrism progressed mostly because it was simpler than all those epicycles.

the gold is at the end of the paper, inspired by an essay by a mathematician named Thurston, who notes that the goal of mathematics is not proofs of theorems but human understanding. to what extent does a result from an AI circumvent human understanding?

AI Snake Oil · Could AI slow science?By Sayash Kapoor

Defending science in public we often talk about 'peer reviewed science'. But could this framing contribute to undermining trust in science and holding us back from improving the scientific process? How about instead we talk about the work that has received the most thorough and transparent scrutiny?

Peer review goes a step towards this in having a couple of people scrutinise the work, but there are limits on how thorough it can be and in most journals it's not transparent. Switching the framing to transparent scrutiny allows us to experiment with other models with a path to improvement.

For example, making review open to all, ongoing, and all reviews published improves this. When authors make their raw data and code open, it improves this.

It also gives us a way to criticise problematic organisations that formally do peer review but add little value (e.g. predatory journals). If their reviews are not open and observably of poor quality, then they are less 'thoroughly transparent'.

So with this framing the existence of 'peer reviewed' but clearly poor quality work doesn't undermine trust in science as a whole because we don't pin our meaning and value on an exploitable binary measure of 'peer reviewed'.

It also offers a hopeful way forward because it shows us how we can improve, and every step towards this becomes meaningful. If all we have is binary 'peer reviewed' or not, why spend more effort doing it better?

In summary, I think this new framing would be better for science, both in terms of the public perception of it, and for us as scientists.

“…the sight of a high-ranking university representative stepping in to save a big tech executive from answering a difficult question was deeply embarrassing (or at least should have been) for all concerned.”

And this is the point. #BigTech shielded by academics (a patchy cover at best, though a telling of the power of wealth and its financial control of scientific research). I this case it was about #Google’s AI products where its representative executive Anna Koivuniemi of Google #DeepMind was shielding that the high-ranking university representative and chair, Geraint Rees, ruled an ‘embarrassing’ question out of order.

It’s a short, but enlightening, read well worth your time if your interests include the use of #GenAI in scientific #research.

#ResearchIntegrity #GenAI&ScientificResearch #MetaScience

Read more: warrenpearce.pika.page/posts/w

Warren's blog: Publics, politics, science and technologyWhat *is* metascience? Issues, inclusion and future public value - Warren's blog: Publics, politics, science and technologyThis week, the biennial Metascience Conference came to London’s “Knowledge Quarter” with around 800 participants from a wide range of roles, including researchers, librarians, research funders, publishers, media and corporations. For...
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Okay, Ana Rita Sá-Leite's talk #WoReLa1 genuinely took us (the audience) on an emotional journey: the results of her work point to a meta-analysis highly influenced by a handful of studies from the same with very small sample sizes and very large effects, Type S error, interpreting absence of evidence as evidence of absence, and more... Find out more: doi.org/10.1016/j.cognition.20 #MetaScience #linguistics

doi.orgThe mechanisms underlying grammatical gender selection in language production: A meta-analysis of the gender congruency effectGrammatical gender retrieval during language production has been largely addressed through the picture-word interference (PWI) paradigm, with the aim …
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Bernhard Angele is now presenting "Living meta-analyses in Language Sciences" at #WoReLa1. Having explaining the need for such living meta-analyses in a very houmous way, Bernhard demonstrated this very cool project. The main output is a #Shiny app that can perform Bayesian meta-analyses with lots of opportunities to control various parameters AND allows you to upload additional data to an existing meta-analysis. The app can be used as is or the code adapted to your needs: dallbrit.shinyapps.io/Breathin. Also check out the associated paper: doi.org/10.5334/joc.389 #MetaScience

Could a novelty indicator improve science?
nature.com/articles/d41586-025 #MetaScience I have mixed feelings about this. The competition for machine-based indicators that align well with human assessments is well-designed, and I agree that researching the role of novelty is interesting. 1/ @openscience

www.nature.comCould a novelty indicator improve science?A competition to develop computational approaches to detect ‘novelty’ in published papers will help metascientists to study how out-of-the-box research changes the scientific landscape.

You are all warmly invited to our #metascience2025 virtual symposium on Friday 27 June 15:00–16:30 CEST on doing #metascience and #interdisciplinary research as an early-career researcher.

Convenor: Anna Leung (psycholinguist and language teacher; University Hospital, LMU, Germany)

Discussants:
- Shawn Hemelstrand (psychologist and methodologist; The Chinese University of Hong Kong)
- Daniel Kristanto (engineer turned neuroscientist; Carl von Ossietzky Universität Oldenburg)
- Elen Le Foll (corpus linguist and language teaching; University of Cologne)

Abstract: nomadit.co.uk/conference/metas.

Registration is free: cos-io.zoom.us/webinar/registe.

We look forward to discussing these important topics with you! #ECR #PhD #PostDoc #Academia #OpenScience

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