Wednesday's highlight is @rougier!
Researcher in computational neuroscience at @[email protected] - in Bordeaux, Nicolas has a strong commitment to Open and Reproducible Science, having co-founded the ReScience Editions! He is also an organizer of the #OSWBordeaux!
https://bordeaux-neurocampus.github.io/OS-Workshop-2023/
P.S.: Don't forget to apply to the workshop if you or your students are interested: https://bordeaux-neurocampus.github.io/OS-Workshop-2023/apply!
On-line #ReproducibleResearch hackathon coming up, June 27th!
https://lists.gnu.org/archive/html/guix-science/2023-05/msg00001.html
We’ll be using #Guix to provide reproducible environments for software that accompanies #ReScience articles.
#Introduction Hello world from the official Mastodon account for the #ML #Reproducibility Challenge (MLRC) 👋
MLRC is an annual conference for reproducibility in ML. The primary goal of this challenge is to encourage the publishing and sharing of scientific results in ML that are reliable and #reproducible. Accepted papers are published at #ReScience C journal.
Our current iteration: #MLRC2022, covers *eleven* top ML conferences and three top journals. More info: https://paperswithcode.com/rc2022
La reproductibilité en science, vous connaissez, mais la réplicabilité ?
Je viens de voir que ce que j'imaginais existe déjà : une revue pour refaire ce qui a déjà été publié : #ReScience ça se passe là : http://rescience.github.io. 👏
Fjola Hyseni
Ludovic Courtès
ML Reproducibility Challenge
KooK