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@bigfishrunning @TimWardCam @Loukas this reminded me of this excellent (and scary) piece on welfare fraud risk calculation in Rotterdam wired.com/story/welfare-state-

@lwaldron what really drives me crazy is that journals aren't retracting these papers. Surely retracting made up data should be only in their own interest to show how rigorous they are. Keeping there is what gives them reputational damage.

Interesting, interesting!

'Our findings suggest that current genomic language models (gLMs) do not offer substantial advantages over conventional machine learning approaches that use one-hot encoded sequences. This work highlights a major limitation with current gLMs, raising potential issues in conventional pre-training strategies for the non-coding genome.'

biorxiv.org/content/10.1101/20

Postdoc position! We're a new research group at @IJMonod, Paris, interested in the cellular secretory landscape and its re-organisation during fibrosis.
Join us, and play a central role in shaping our vision in the coming years!
DM/email for questions
emploi.cnrs.fr/Offres/CDD/UMR7

@rmounce Yet, when you suggest more hours should be dedicated to teaching experimental design, you find so much resistance ...

Gelman: "a lot of studies just shouldn't be done". too much noise, too poor an experimental design.

#preregistration

Researchers need to start simulating what data they are expecting to collect before they collect it.

@CellySally @steveroyle Blocking time for those is super easy. Sticking to that plan... a bit more complicated!

@steveroyle

"Benchpress" would be a good name for a #LifeOfPI blog, so #Albumsx3ThemePaper for Tuesday will be a blog post, added to my reading list only this morning

The author Terry McGlynn notes we use our calendars to mark out time for meetings & teaching but not for reading, thinking, planning, writing, reviewing.......

Trying to block out time for these things highlights the unfeasibility of our workloads

Terry suggests solutions.

tl;dr: it ain't easy.

scienceforeveryone.substack.co

My only comment on Gemini is that y'all take everything seriously when it offends white people when we've been yelling about issues for how long and when has a product ever been pulled and when has there ever been this type of shock and media attention?

It's such a pleasure when I get to ask a former PhD student for help on a current project—because it's an area that she knows better than I do.
In other words, I succeeded when she was my student.

@kofanchen This is a very good idea. The specific nature of this particular assessment might make it a tad difficult to implement but I can think of other use cases for sure! Thank you!

The CEO of Exxon just said "we've waited too long" to tackle climate change. He blames "society" and "activists" from keeping Exxon from working on this.

Yes, Exxon. Yes, Exxon. Yes, Exxon: the corporation that for decades has been spending millions to slow progress on climate change, despite its own research showing the problem was urgent.

He said:

"We've waited too long to open the aperture on the solution sets in terms of what we need, as a society, to start reducing emissions.... Frankly, society, and the activist — the dominant voice in this discussion — has tried to exclude the industry that has the most capacity and the highest potential for helping with some of the technologies."

What the fuck is this — some sort of dark and twisted joke?

The interview is here:

web.archive.org/web/2024022801

salon.com/2024/02/29/exxon-ceo

Are you interested in cell ? Would you like to work on understanding how single, heterogeneous cells work together to generate coordinated population responses using a mix of bioinformatics, wet-lab experiments and mathematical modelling?

Then come and do a PhD with us in sunny* Edinburgh!

ed.ac.uk/biomedical-sciences/p

This PhD programme will also enable you to develop your skills by participating in teaching activities at our joint institute in Haining, China to eventually work towards a fellowship from the Higher Education Academy!

Any questions just drop me a message and I'll be happy to clarify any doubts!

*well, today at least

@jonny @joss If I could boost this multiple times I would. I've seen institutions and grant/job applications specifically asking for IF of papers and/or asking for 'x papers with IF>y' as a tenure/promotion requirement. I have even heard 'too bad you published in <very decent and actually quite famous journal>, it would have been better not to have that on your CV. This is (part of) what drives bad science and often it's driven by entitled people who don't realise they got lots of high IF papers because they come from 'big name's laboratories that have the political power to publish anything wherever they want.
I think we all know too many examples of very shaky science published in big journals...

Apparently #Clarivate's Web of Science, one of the major proprietary indexes that employers use to determine whether papers in a journal can be considered in tenure & promotion decisions, denied @joss 's request to be indexed without even telling us. This is not the first time JOSS has been rejected

I checked their "objective review criteria" and JOSS easily passes all the qualifications.

Speaking strictly as my own opinion, not in my role as a JOSS editor or reviewer, but as a matter of fact these indexers are a fucking racket.

github.com/openjournals/joss/i

Registration for posit::conf(2024) is now open: posit.co/conference/. It's going to be in Seattle, Aug 12-14, and we've tried really hard to make it more affordable this year, so I hope I can you see there in person! (We'll also have a virtual option; more on that soon)

if you remember using a cracked copy of nero to burn other cracked software onto cd, remember to do your gentle back stretches today

@ChristosArgyrop and, I don't mean to imply that LLMs are useless. they can be useful and research in that area has really made impressive steps... it's just that now as more people use them, the hype is starting to give in to reality!

@nicolaromano These are great points. The difference is that sold engines were marketed as user driven tools, while LLMs as marketed to hype driven fools.

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