Dorothy Bishop<p>This bluesky thread by Mark Hanson describes a massive project to look at <a href="https://mastodon.social/tags/reproducibility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reproducibility</span></a> of drosophila studies - I don't know much about that area, but the approach is pretty exciting and has potential for other topics. <a href="https://bsky.app/profile/hansonmark.bsky.social/post/3ltlvkkxyak2k" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">bsky.app/profile/hansonmark.bs</span><span class="invisible">ky.social/post/3ltlvkkxyak2k</span></a></p>
#reproducibility
4 posts2 participants0 posts today
To ensure AI is genuinely open source, we must have complete access to:
1. The datasets used for its training and evaluation
2. The underlying code
3. The design of the model
4. The model's parameters
Without these elements, transparency and the ability to replicate results remain incomplete.
Continued thread
7/ Wei Mun Chan, Research Integrity Manager
With 10+ years in publishing and data curation, Wei Mun ensures every paper meets our high standards for ethics and #reproducibility. From image checks to data policies, he’s the quiet force keeping the scientific record trustworthy.
Are you an educator and wondering if and how to include #preregistration into student assignments? Then join our #webinar and learn from our speakers!
26 June
13:30 -15 hrs
register here:
https://events.teams.microsoft.com/event/d5795f72-3c31-4962-97f7-62911cffc909@335122f9-d4f4-4d67-a2fc-cd6dc20dde70
Ewout Meijer from Maastricht University and Elen Le Foll from the University of Cologne will share their experiences with having students preregister their term papers and theses work.
We will make a recording of the webinar available.
#openScience #reproducibility
#Checklists have massive benefit in #aviation, #engineering, and #medicine.
Now #cognitiveScience has a list of 51 simple yes-no questions (from experts around the world) to design and assess #research — its quality, #reproducibility, etc.
Here is how PCI is elevating the standards for open and reproducible science: introducing 4 already-existing and 2 new features 
#OpenScience #Reproducibility
Here is how PCI is elevating the standards for open and reproducible science: introducing 4 already-existing and 2 new features
#OpenScience #Reproducibility
nix.camp 2025 is on
27th August - 3rd of September @ https://birkenhack.org & https://astralship.org. An opportunity to hack on things before flying out to #nixcon!
Read more @ https://nix.camp
#nixcamp #nixos #nix #reproducibility
27th August - 3rd of September @ https://birkenhack.org & https://astralship.org. An opportunity to hack on things before flying out to #nixcon!
Read more @ https://nix.camp
#nixcamp #nixos #nix #reproducibility
nix.campNix Camp
My proposed #tutorial "From your source code to a reproducible online demonstration" has been accepted in #ACMRep 2025! If you're around, don't hesitate to join, or to follow online otherwise! https://acm-rep.github.io/2025/
ACM REP 2025ACM REP 2025ACM Conference for Reproducibility and Replicability
How reproducible is research in digital art history?
Béatrice Joyeux-Prunel argues for a post-computational framework that complements FAIR data with ethics, expertise & interpretive validation.
https://link.springer.com/article/10.1007/s42803-023-00079-6
#DigitalHumanities #Reproducibility #FAIREST #DigitalArtHistory #OpenScience
SpringerLinkDigital humanities in the era of digital reproducibility: towards a fairest and post-computational framework - International Journal of Digital HumanitiesReproducibility has become a requirement in the hard sciences, and its adoption is gradually extending to the digital humanities. The FAIR criteria and the publication of data papers are both indicative of this trend. However, the question that arises is whether the strict prerequisites of digital reproducibility serve only to exclude digital humanities from broader humanities scholarship. Instead of adopting a binary approach, an alternative method acknowledges the unique features of the objects, inquiries, and techniques of the humanities, including digital humanities, as well as the social and historical contexts in which the concept of reproducibility has developed in the human sciences. In the first part of this paper, I propose to examine the historical and disciplinary context in which the concept of reproducibility has developed within the human sciences, and the disciplinary struggles involved in this process, especially for art history and literature studies. In the second part, I will explore the question of reproducibility through two art history research projects that utilize various computational methods. I argue that issues of corpus, method, and interpretation cannot be separated, rendering a procedural definition of reproducibility impractical. Consequently, I propose the adoption of ‘post-computational reproducibility’, which is based on FAIREST criteria as far as digital corpora are concerned (FAIR + Ethics and Expertise, Source mention + Time-Stamp), but extended to include further sources that confirm computational results with other non-computational methodologies.
"#Reproducibility isn’t just about repeating results, it’s about making the #research process transparent, so others can follow the path you took and understand how you got there."
Listen to our new OpenScience podcast with Sarahanne Field @smirandafield
https://www.rug.nl/research/openscience/podcast/#Field
In this 10 min episode, Sarahanne reimagines reproducibility for #qualitative research.
She addresses challenges in ethical #data sharing of transcripts, and the importance of clear methodological reporting.
Continued thread
JUBE Workflow Training (May 26)
Level up your HPC workflow game!
Join our free online training on Reproducible HPC workflows using JUBE – learn how to benchmark & run applications like GROMACS.
May 26 | 12:00–14:30 CEST https://buff.ly/98CbDL5
DRA event platform (Indico) (Indico)HPC Series: Reproducible HPC workflows using JUBEThis course provides an introduction into the Jülich Benchmarking Environment (JUBE), a workflow management system created for running performance benchmarks on high-performance computing (HPC) systems. JUBE can also be used for general workflows involving running applications on HPC systems, and this course will further provide an example on how to run the molecular-dynamic code GROMACS and will discuss aspects of workflow reproducibility in JUBE. Target audience: Users of HPC systems that...
Reproducibili HIGH Tea with Don van Ravenzwaaij Tue, May 20 | 
2–3 PM CET
H.0431 (Heijmans) & https://osc-international.us4.list-manage.com/track/click?u=fa279e9b279d77a612c19105f&id=c54b2c5758&e=c7c7b4acc0 
Learn how to de-identify data for open sharing!
Don’t miss it!
#OpenScience #Reproducibility #DataPrivacy