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New preprint spotted (via Bluesky):

"TADA! Simple guidelines to improve code sharing"

(and make your code Transferable, Accessible, Documented, and Annotated)

ecoevorxiv.org/repository/view

#opencode #opensoftware #openresearch #openscience

theguardian.com/commentisfree/

Nice opinion piece by Eleanor Drage on The Guardian

"Enough of the billionaires and their big tech. ‘Frugal tech’ will build us all a better world"

@ricci @paco @regehr Really annoying that now everything is branded AI. Look! You can automatically send emails!! AI!!111

My main issue with LLM use in reviewing or marking is that those are not tasks LLM were ever built for. Sure you can use a hammer to put jam on your toast, but the end result won't be that great... I've tried asking ChatGPT to review one of my papers.
Apart from the annoying sycophancy, suggestions were either very generic to the point of being useless, outright wrong, or OK but not really that relevant within the context of the study.

I'm all for using AI (which, by the way is not just LLMs...) in situations where it actually helps. Reviewing papers is not one of them.

@thatdnaguy Given the current state of things, it's definitely not the case that everyone knows the limitations of LLMs...

🥳 It's a beautiful announcement to celebrate: Meta is ending political advertisement in 🇪🇺 in October 2025!!
about.fb.com/news/2025/07/endi
These were already illegal in several #EU countries, and my team had found many illegal ones in 🇫🇷 back in 2019. Many ads were paid for by foreign actors. Micro-targeting within social media for political influence will still be abused, but that is a victory against #FIMI and for electoral integrity.

Remember how everyone freaked out about Microsoft’s Recall feature (spyware) in Windows 11? And Microsoft said it would be fine because it’s all processed locally?

Guess what’s not processed locally anymore. theregister.com/2025/07/23/mic

@europe @johncarlosbaez @lindsey Make sure you check the opening days if you want to see that, the Anatomy museum is only open once a month or so to the public (but worth visiting!)

#introduction #science #climate #clouds #modelling #geosciences

bonjour le fediverse ! je suis français mais je tooterai majoritairement en anglais (^c^) !

hi fediverse. I'm Lucas, a PhD student at IGE (CNRS, Grenoble, France) whose work focuses on studying the interaction between aerosols and clouds in the Arctic. I'm using climate models and collaborate closely with satellitary observers to improve our understanding of clouds.

I'm counting on mastodon to share about my work and raise awereness around my main scientific concern : climate change (big surprise, is this even a thing anymore ?).

More generally, I wish my academic work could go on being more interdisciplinary and more focused on helping societies and citizens understand and adapt to climate change.

Finally, I'm engaged in climate struggles and love to learn new stuff and share about it. All contents not related to my work will be showed with the appropriate CW.

happy to meet you all c:

@vnikolov @GrandTheftUrkel @petergleick I would seriously question this graph if the y axis started at 0, given that a zero value would never occur. The graph shows plausible ranges. Not every plot should start at 0. More than anything, one should consider whether the effect size is relevant.

@MichalBryxi @pezmico I don't think the issue is that anyone can edit it (it might be an issue for more niche topics that don't get checked as thoroughly though), rather that it is not a primary source.
But it is often great as a starting place to find the primary sources.

Hello world! 👋

This is Encyclia, a new project to bridge ORCID records into the Fediverse. Our software platform is a work in progress and we'd love to hear your feedback!

Project website: encyclia.pub

via Facebook: facebook.com/share/p/16eDx3zoA

NPR - The year red-blooded patriotic American high-school jocks replaced migrant farm workers!

The year was 1965. On Cinco de Mayo, newspapers across the country reported that Secretary of Labor W. Willard Wirtz wanted to recruit 20,000 high schoolers to replace the hundreds of thousands of Mexican agricultural workers who had labored in the United States under the so-called Bracero Program.

(1/15)

#ArteConcert is so amazing! I don't remember who on Mastodon first pointed me to it but it's *so good*. Thanks to whoever you are.

If you don't know it, Arte is a a European public service channel and Arte Concert is their live music. The live concert performances are top quality and it's all free to watch, with *no ads* (thanks EU!).

This evening I've been watching a jazz concert by Hiromi's Sonicwonder. Earlier in the week I watched Moderat live at the Grand Palais in Paris. I've discovered fantastic African blues musician Fatoumata Diawara and Cuban funk musician Cimafunk and singer song-writer Asaf Avidan. There's everything from metal to electronic to jazz to classical.

While a lot of the internet has been turning to ad-filled spyware goop, Arte Concert is a wonderful exception.

This is me feeling grateful.

arte.tv/en/arte-concert/

#music #concerts

This was a brave project with an ambitious goal and I think it kicks the legs out from some shaky, simplistic assumptions about cycle time, and how we use software metrics in general. We've also got a huge bank of code, statistical approaches, and methodology along with our preprint so others can replicate our work or use it as a learning example.

arxiv.org/abs/2503.05040

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When designing a scientific experiment, a key factor is the sample size to be used for the results of the experiment to be meaningful.

How many cells do I need to measure? How many people do I interview? How many patients do I try my new drug on?

This is of great importance especially for quantitative studies, where we use statistics to determine whether a treatment or condition has an effect. Indeed, when we test a drug on a (small) number of patients, we do so in the hope our results can generalise to any patient because it would be impossible to test it on everyone.

The solution is to perform a "power analysis", a calculation that tells us whether given our experimental design, the statistical test we are using is able to see an effect of a certain magnitude, if that effect is really there. In other words, this is something that tells us whether the experiment we're planning to do could give us meaningful results.

But, as I said, in order to do a power analysis we need to decide what size of effect we would like to see. So... do scientists actually do that?

We explored this question in the context of the chronic variable stress literature.

We found that only a few studies give a clear justification for the sample size used, and in those that do, only a very small fraction used a biologically meaningful effect size as part of the sample size calculation. We discuss challenges around identifying a biologically meaningful effect size and ways to overcome them.

Read more here!
physoc.onlinelibrary.wiley.com

@steveroyle i guess when you remember that you are sending and receiving to a scholastically generated sequence of words it makes more sense. The existence of the paper is less relevant than the probability that this conversation would occur where a paper was real given that a PMID and DOI was supplied

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