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#France paid €31 million for article processing charges (#APCs) in 2020, about 3x what it paid in 2013. It predicts it will pay between €50m and €68m for APCs in 2030.

In addition, it paid €87.5m for #subscriptions in 2020 and predicts it could pay €97.5m in 2030.
ouvrirlascience.fr/how-much-do

@BorisBarbour @david_colquhoun of course conclusions will be similar, but not the same, and this is one case. It will be almost impossible to explain if you don't know what methodological falsificationism or severe testing is. Reading my textbook would teach you about these things - this is a good starting point. lakens.github.io/statistical_i

@uebernerd
If you are true, it is a story of how the hierarchy and "status bias" corrupt science.

Dear #Americans of #Mastodon, you have a wonderful opportunity that is rarely granted to you. For the first time, you're in an online public space that is not American, that is not centered around the US, and as I'm typing this, a place where the majority of users are not Americans. You can open yourselves to the world as you've rarely been able to before.

So please, stop expressing yourselves like the US is the default country here and that most users are Americans. We're not. Love.

antisemitism, fediverse, rant 

A Jewish politician comes onto the fediverse- and what is he welcomed with?

A comment about how he doesn't deserve to be boosted.

A comment about Israel despite him not mentioning Israel.

This is why Jews don't feel safe on the general Fediverse folks. This right here.

It's why I felt so compelled that I made an instance for Jews where this isn't allowed.

masto.ai/@DavidSchwartz/109583

So many of you cared enough to migrate from Twitter to Mastodon.

Now I'm going to encourage you to go further:

1. Migrate from Instagram to Pixelfed
2. Migrate from WhatsApp to The Matrix.
3. Migrate from Facebook to Friendica

Do to Mark Zuckerberg what you already did to Elon Musk.

History made: 🏳️‍⚧️ 🏳️‍🌈Scotland becomes the first constituent country of the UK to adopt a system of ‘self-ID’ and the reversal of the medicalisation of gender recognition.

#GRAreform #LGBT #LGBTQ

👏 ✅ PASSES

I have just finished rolling out the Python version of the R package 'statcheck", created by prof. Michèle Nuijten.

Statcheck can be used to extract and analyze statistical results from scientific articles.

Currently working on adding the option to extract tables.

If anyone would like to check it out, here is the repo:
github.com/hplisiecki/statchec


Hi Everyone! Another Twitter (@LauraAzolla) deserter here, hoping to do some science networking online via an alternative route. I'm a scientist, lecturer, climber, sailor and photographer. I'm finishing my PhD thesis at @utrechtuniversity on Azolla #fern #metagenomes and #genomics (github.com/lauralwd/azolla_phd). Also, I just started a new job teaching bioinformatics to PhD candidates, also at UU. I'm an #openscience enthusiast, my code and writings are on (github.com/lauralwd)!

@kareemcarr
They are different tools for similar (but different) tasks, in my opinion.

@niedakh
One instance is okay :)
But mind that, the English-speaking moderators at your instance probably don't know Polish.
For that reason, I have second account at lewacki.space for toots in Polish.

@Orangejuice @OtwartaNauka
But, using such data to "target" victims of human trafficking is more than justified.

@Orangejuice @OtwartaNauka
In my opinion? There should at least be a vital interest of that person if we don't have their direct and conscious consent. In other words, using data "against" is abuse, as in the case of the transphobic reason mentioned earlier.
I'm in line with UE rules here.

I've just read the Vice article about Transgender Dataset.
There is nothing wrong (in my cautious opinion) with teaching AI with any data we have access to.
BUT there is so much wrong with:
1) doing "science" with an obviously transphobic reason of "hormone-taking terrorists";
2) processing and publishing sensitive data without consent or "substantial public interest"
3) faking efforts to contact people whose data somebody uses

It is important to consider how and why we process (not just sensitive) information. Our goal should be to avoid doing harm at every step, not only following the law and ethical standards.

As part of one project, we downloaded a public dataset of Polish active psychologists and attached their public emails to it. It is possible to access the dataset at GitHub, but emails are hidden, so predatory journals will not be able to use it.


Article:
vice.com/en/article/93aj3z/fac

GPT-3 is going to make finding quality information on the internet a nightmare. The generated text will look good to search engines, and garbage sites that rely on SEO for clicks will just have GPT-3 write about whatever the big topics of the day are. This could even be easily automated.

@UlrikeHahn Agree. This is the US way of dealing with these situations. Manage the reputation, do not have the difficult conversation about what actually went wrong and how to prevent it in the future. This is not really an example of vision and leadership from APS and it is likely detrimental to future editorships.

@atomicpoet
Not yet. But bookmarked it :) Thanks for useful suggestion by the way.

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Paweł Lenartowicz's choices:

Qoto Mastodon

QOTO: Question Others to Teach Ourselves
An inclusive, Academic Freedom, instance
All cultures welcome.
Hate speech and harassment strictly forbidden.