Albert Cardona @albertcardona@social.cleverlibre.org

Paper *accepted* in @eLife! Stellar job by Casper Kerrén, with support from dream team Sander van Bree & @b_j_griffiths.
https://www.biorxiv.org/node/2534276.external-links.html

I wanna use this opportunity to say this. Sure, I will miss the kick you get from an acceptance email. May future generations of scientists smile at the silly things (like acceptance letters) that made us happy in 2022…

That said, I am very ready for trying out the new @eLife system.

1/2 (trying first thread here)

#introduction I am a professor at Penn and also co-director of the CIFAR Learning in Machines and Brains program. I like to think about neuroscience, AI, and science in general. Neuromatch. Recently, much of my thinking is about Rigor in science and I just started leading a large NIH funded initiative community for rigor (C4R) that aims at teaching scientific rigor.

My interests are broad: Causality, ANNs, Logic of Neuroscience, Neurotech, Data analysis, AI, community, science of science

‘Tis the festive season of new faculty recruitments in many unis. It's a great reminder that women in academia, especially women belonging to intersectional minorities, still have it tough. What are you going to do to dismantle the barriers standing in our way? See what my colleagues (soon joining Mastodon) & I have to say. #academicmastodon
https://www.nature.com/articles/s41557-022-01072-2

https://twitter.com/ProfRachelGaN/status/1585668176712540161?s=20&t=xNmQsHBoocBK8eAW9oDOhA

In terms of #introduction, I am a researcher in computational
Neuroscience and biomimetic AI with a background in theoretical
physics. I have worked on insect brain models to understand olfaction and related to this, how the insect mushroom body is a prototypic motive for classification circuits.

The collapse of Twitter is a system breakdown. Mastodon and the fediverse represent something different: _system change_. From for-profit "Big Tech" to nonprofit, open source, community-owned public spaces.

System change is always harder than you think. It always incurs short-term costs, with hoped for long-term benefits.

The next few weeks will be really tough for the fediverse. Stick around, vibe with it, and you just might help us put a huge part of the web back in community hands. <3

My #introduction to #ScienceMastodon:
I am a #Cell #Biologist and research group leader at IRB Barcelona, Spain.
In my lab we observe the #microtubule #cytoskeleton and try to make sense of what we see, what an awesome job!
We also like hashtags that start with C:
#cell #cytoskeleton #centrosome #centrioles #cilia

#introduction
Hi everyone,
I am Nila. I am a neuroscientist & currently a Postdoc in Rainer Friedrich's lab at FMI. I study the circuit of the olfactory bulb in the adult zebrafish using a connectomic approach. Recently I have been a bit sidetracked by telencephalic temptations...

I am here to keep up to date and exchange with the scientific community. But I love to have my mind blown by anything nature. So, I am hoping to learn many fun facts outside of my horizons (& to see many beautiful images as well).
I am a first-gen academic which has sometimes been a struggle (mostly in my mind). Topics of open access, social mobility & justice are important to me, and I do have to learn a lot there.
Parenting 3 little humans doesn't leave much energy for hobbies but running is my lifeline.

It's really quite exciting starting up on Mastodon.
Rather like opening a door in a wall and suddenly finding you are in a party with some old friends and lots of new interesting people.
As one who was an early adopter of Twitter, it also is very reminiscent of the old days when I first realised how useful social media could be for meeting new people and learning new stuff.

@lakens Thank you for sharing this chapter! I didn't know the word "likelihoodist" and now I know I am one. Btw the brain is a likelihoodist too! It's how we make decisions. This is described in various papers but the most interesting is arguably this one (which shows that Turing was a likelihoodist and considered a ratio of 10 to be meaningful evidence, calling it a "deciBan"): https://www.sciencedirect.com/science/article/pii/S0896627302009716

Continuing this monday with my favorite fact from Chapter 3 of my textbook: The probability of observing mixed results, and how mixed results can be strong evidence for a true effect. https://lakens.github.io/statistical_inferences/likelihoods.html#mixedresults

I remember once performing 4 studies, close replications. There was no effect in 1 out of 3. So I started discussing with my collaborator: What is so special about this study that makes the effect disappear? My collaborator replied: or it is just random variation, as expected.

First toot #ScienceMastodon

I am a #devbio Group Leader at the Babraham Institute. 🐭⌛️👤⏳

Likely to highlight papers on dev bio. Specially timing, stem cells and mammalian #development.

Sometimes I post about research culture, academic progression and women in science

Trying to keep up in SMM as twitter has been useful so far.

Why Wikipedia? Because it’s the largest, most widely used, non-partisan democratised platform for sharing knowledge. Every day Wikipedia users include high school students, parents, teachers, journalists, policy makers and academics. It’s not behind a paywall and it’s not full of technical jargon. But like all encyclopaedias, Wikipedia has huge gaps – especially in biographies of women of people from other historically excluded groups.

This seems like a step improvement in 2-photon microscopy
https://www.biorxiv.org/content/10.1101/2022.11.06.515343v1

Spencer has a nice thread on it on Twitter (I don't think he's on Mastodon yet?): https://mobile.twitter.com/Labrigger/status/1589471340356333568

Just because it is Monday morning and the #TwitterMigration is still going on, it may be worth repeating that #science would do well to replace their antique journals with modern technology:
https://doi.org/10.5281/zenodo.5526634
The three most important reasons why:
- The most prestigious journals publish the least reliable science:
https://www.frontiersin.org/articles/10.3389/fnhum.2018.00037/full
- Journal prices are tenfold inflated:
https://f1000research.com/articles/10-20/v2
- Open infrastructures for research data, code, models, software, etc. are sorely missing.

I'm new to Mastodon! Still getting used to this new platform. I'm Dan Nomura, a Professor of Chemical Biology at UC Berkeley! My lab uses chemical biology approaches to tackle "undruggable" proteins and to develop new therapeutic modalities to develop next-generation disease therapies!