🧠💻 A team from the Mind, Brain and Behavior Research Center (CIMCYC, cimcyc.bsky.social) published a #programming guide aimed at students in #psychology and #cognitive #neuroscience. This evolving set of #tutorials offers a curated collection of conceptual reflections, practical examples, and methodological recommendations. The material is available in #Python, #RStats, and #MATLAB.

🌍 https://wobc.github.io/programming_book/
#CognitiveScience #OpenScience

The Journal of Trial and Error is hosting its second Trial & Error Award ceremony this year and nominations are still open!

The aim is to celebrate researchers who have explored scientific failure in any scientific article published between April 1, 2024 and March 31, 2025. The scope is considerably wide, so if you think something might fit, send along your nomination!

The winning article will be selected via live lottery from the pool of nominees at the Trial and Error Symposium on October 7, to which all nominees are welcome to join (and others, of course).

The Journal of Trial and Error feels strongly that our community is strengthened through the recognition of failed research as invaluable to the scientific process. This award was designed to explicitly celebrate this research and to disrupt the culture of stigma surrounding failure in our community.

Help us to redefine how we value failure in the pursuit of knowledge, and in doing so shed some light on the contributions of your colleagues.

You can follow this link to the nomination form: https://trialanderror.org/awards-2025-form

#academia #OpenScience

🌞 L'été approche… et avec lui la dernière newsletter du GTSO Données de Couperin de l'année 2024/2025 sur les données de la recherche !

Avant de fermer vos onglets et de partir profiter du soleil, jetez un œil à cette 65e édition, riche en actualités et ressources utiles :

🧰 La nouvelle version de DMP OPIDoR, qui permet désormais de décrire les logiciels de recherche dans le plan de gestion de données et de faciliter l’accès pour l’ANR
💻 Une fiche de décryptage : "Utiliser les services de l’EOSC pour gérer ses données de recherche"
📽️ Le replay du webinaire sur la valorisation économique des données de recherche et la science ouverte – un duo vraiment incompatible ? @Atelier de la donnée de Bourgogne-Franche-Comté
🧪 Un retour d'expérience sur l’usage du cahier de laboratoire électronique à l’Université de Lorraine
🌊 Et un article sur l'importance de l'ouverture des données pour les littoraux @The Conversation France

📩 À lire ici : https://gtso.couperin.org/gtdonnees/veille-sur-les-donnees-de-la-recherche/

Bonne lecture… et très belles vacances d’été à toutes et tous ! 🌴
#ScienceOuverte#DonnéesDeRecherche#DMP #EOSC #OpenScience

Écrans éducatifs et sciences cognitives : comment la big tech investit l’école

radiofrance.fr/franceinter/pod

> Alors que, selon de nombreux experts, les écrans constituent un problème de santé publique majeur, l’industrie du numérique bénéficie de subventions publiques importantes et développe des partenariats avec la recherche pour faire rentrer les écrans à l’école.

Excellent travail de @franceinter ! Entre EdTech, GAFAM, conflit d'intérêt, pantouflage et surtout intégrité scientifique dans le cadre de la recherche financée par la privé.

Merci de la suggestion d'écoute, @rpierronnet.bsky.social











@fresseng @franceinter@rpierronnet.bsky.social

La recherche publique est muselée par le financement sur projets, l'exigence de cofinancements privés, à produire de la "PI" transférable.

Pour expérimenter quoique ce soit, il faut se conformer aux appels qui nous demandent de nourrir la "transition digitale" ou la "révolution de l'IA".

Que certains adhèrent à cette idéologie n'a rien de surprenant. Les jeter en pâture dans des enquêtes-choc n'y changera rien.

Nous avons besoin d'ingénieurs (dev, UX/UI, data) dans les labos de SHS, d' #OpenScience, de transfert vers l'#ESS. Bref, d'une politique de recherche qui surmonte l'impensé numérique.

🔍 [Portrait Science Ouverte #9] À la rencontre de François Dupire, responsable qualité de la plateforme MassLor et ambassadeur Science ouverte au L2CM_UMR7053, un laboratoire de l'Université de Lorraine

La science ouverte, c’est aussi une pratique quotidienne portée par des chercheuses et chercheurs convaincus.

💡 Dans cette interview, François revient sur :
✔️ son engagement dans le réseau des ambassadeurs Science Ouverte de l’Université de Lorraine,
✔️ l’impact du cahier de laboratoire électronique sur les pratiques collaboratives,
✔️ les bénéfices concrets d’un Plan de Gestion de Données d'entité bien structuré,
✔️ et sa vision personnelle d’une science plus rigoureuse, transparente et accessible à tous.

👉 Lire l’interview complète : https://factuel.univ-lorraine.fr/node/30308

#ScienceOuverte #OpenScience

@UlrikeHahn
We as researchers are just super naive. If you ask me, those things go back to Big vs
Ironically, they demanded what we in demand nowadays, but with a very different aim... :(

I touch upon that in a recent on open data: doi.org/10.31219/osf.io/hk786_

"Long before today’s movements, the Executive Committee of the Sound Science Coalition (1994; cited in Ong & Glantz, 2001) published guidelines that align with what Open Science practices advocate today. For example:
(1) The study design should inform about all hypotheses,
(2) after the study was conducted, the data should be analyzed as described in the study design, and
(3) if the data does not support the hypotheses, no further analyses are necessary.
Shockingly, in #1994 these recommendations were motivated by the fact that parts of the industry aimed to research and researchers on a large scale, with the goal that it could not be legally established that smoking increases the risk of lung (Drope, 2001; Muggli et al., 2001; Ong & Glantz, 2001). Along this line, one may accuse researchers as having been naive to the vested interests aligning with scientific rigour by non-researchers."

#introduction I am a lecturer in Mechanical Engineering at the University of Galway, Ireland.

I enjoy inventing (and teaching) methods for computational (bio)mechanics and computational design.

I am the developer of:
* GIBBON https://www.gibboncode.org/
* Comodo https://github.com/COMODO-research/Comodo.jl

I am an advocate for #openscience #opensource and a co-founder and editor for JOSS, the Journal of Open Source Software.
https://joss.theoj.org/

https://kevinmoerman.org/

An animation showing examples of computational biomechanics research I have been involved in. Visualisations include finite element simulations for prosthetics design, mammography, and soft robotics.
An animation showing examples of computational biomechanics research I have been involved in. Visualisations include finite element simulations for prosthetics design, mammography, and soft robotics.

Hi, scientists from the Fediverse! It seems that Nature is asking people about Twitter migration and if they are happier on #bluesky .

On Nature writers' minds, Bluesky is the only place to migrate to. There's not a single mention of the Fediverse in there! However, there is a small free text box where you can write your thoughts, in the step before "send" button. So I did fill the poll anyway, writing why I decided not to go to Bluesky but to Mastodon instead.

I thought that maybe if we get enough people to actually fill the survey and mention that they migrated to Mastodon, we can make a stronger case for open, free networks. It's an extremely short survey, so let's try! https://www.nature.com/articles/d41586-025-00037-y

#academicchatter #OpenScience

@elisabethbik.bsky.social Divide and conquer!

We (I dare include the whole #OpenScience community) are in this together. Point to #PubPeer wherever possible. Many are in for this fight - it is not "just" about tinkering with images.

Yet, we learned: Forensics and public shaming are not enough. OpenScience is the prevention part. Many are working on better rewarding OS practices to improve transparency.

When I read posts like this, I sometimes wish to conduct a meta study and ask how well #OpenScience criteria are realized in publications in current papers of a given field. And to compare how the groups of my uni would fit in that distribution.

I would not make friends. Also: It would be a truly Herculean task for which I will not find the time. 🤷‍♂️ 😢

https://fediscience.org/@fresseng/113595003857695255