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#reproducibility

2 posts2 participants0 posts today
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Dutch Reproducibility Network

The University for #HumanisticStudies/ UvH joins the NLRN as an institutional member!

At the NLRN, we want to make a range of epistemic voices heard in the discussion around #reproducibility and #replicability of #science and #scholarship. With their research portofolio focusing on #worldviews and humane societies, the UvH complements the voices of the other, more technical and generalistic institutions TU Delft, TU/e, RUG and escience Center.

Foto: Gaelle Marcel for Unsplash

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Dutch Reproducibility Network

Discussions about #OpenScience and #Reproducibility are better when a range of epistemic voices are heard.
Are you interested in openness and transparency for #qualitativeResearch methods? Then quickly sign-up for the first meeting of the European Open Qualitative #Research #Community!

Seeing this post too late (i.e. after 4th April?) - do not worry, reach out to Nicki Lisa Cole to be added to the mailing list

docs.google.com/forms/d/e/1FAI

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Johann Dr.EO

Recently, I got several opportunities to discuss the reproducibility crisis in science. To help discuss that complex topic, we need to agree on a vocabulary.

My favorite one has been published by Manuel López-Ibáñez, Juergen Branke and Luis Paquete, and is summarized in the attached diagram, which you can also find here: nojhan.net/tfd/vocabulary-of-r

It's good that this topic is not fading away, but is gaining traction. "Slowly, but surely", as we say in French.

If you want a high resolution suitable for impression, do not hesitate to ask!

#reproducibility#science#epistemology
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Boud

The #Maneage #reproducibility system for scientific research papers that starts from a minimal POSIX-like host OS does not yet build [1] the #GNUCLibrary = #GLibC . We have a draft implementation building glibc *after* #GCC [2]; and an alternative proposal arguing that building glibc *first* and gcc second would be more long-term sustainable [[1] comment18].

Should GLibC be built first? Why (or why not)?

[1] savannah.nongnu.org/task/?1539
[2] gitlab.com/maneage/project-dev

· 4 people · Closed
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Emilia Jarochowska 🇺🇦🌱

Join us in #Utrecht 🇳🇱 for a meeting on #reproducibility in #stratigraphy, #Earth 🌍 and #climate history and #astrochronology. We offer workshops on #StratigraphicModelling, #Age-DepthModels and #CodeReproducibility for #earthscience professionals and students. If you want to join a field trip to the #Devonian and #Carboniferous of #Belgium 🇧🇪, make sure to register quickly!

https://ecoevo.social/users/Niklas_Hohmann/statuses/114228904601800210
ecoevo.socialNiklas Hohmann (@Niklas_Hohmann@ecoevo.social)Attached: 1 image Interested in #reproducibility, #methodology and #uncertainty reporting in #stratigraphy? Excited to announce the CycloNet meeting 2025 in Utrecht 😁, bringing together cyclostratigraphers and researchers from adjacent fields to discuss methodology, uncertainty, and reproducibility Registration: forms.office.com/e/UrVjH0iH3s Conference info: https://www.uu.nl/en/research/department-of-earth-sciences/cyclonet-meeting-utrecht Student and hybrid participation is free!
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UniversityofGroningenLibrary

"#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."

🎧 We are preparing new episodes for our #OpenScience Bites #podcast.

We talked to Sarahanne Field, Assistant Professor at our university, and we are very much looking forward to this episode!

Previous episodes featured #OpenEducation and #PublicEngagement.

🔗rug.nl/research/openscience/po

@smirandafield

Photo Sarahanne Field, including logo Open Science Bites podcast
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#SocialSciences
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IRRJ

Published at #IRRJ: "On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration" by Savvina Daniil, Manel Slokom, Mirjam Cuper, Cynthia Liem, Jacco van Ossenbruggen, and Laura Hollink. #RecSys #Bias #DataSynthesis #Reproducibility

doi.org/10.54195/irrj.19607

doi.orgOn the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration | Information Retrieval Research
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Boud

Is a peer-reviewed #Maneage paper [1] (software + full results) reproducible from scratch?

Same author+machine; OS Debian stable updated 2021...2025.

Reproduction to final pdf by merge to current maneage 'software/' +minor hacks +disable a few verifications [2].

Result: final pdf has small but scientifically negligible diffs [3]; (due to python/numpy int or float changes?).

#Reproducibility

[1] peerj.com/articles/11856
[2] codeberg.org/boud/subpoisson/s commit f554c7e9
[3] codeberg.org/boud/subpoisson/c

PeerJAnti-clustering in the national SARS-CoV-2 daily infection countsThe noise in daily infection counts of an epidemic should be super-Poissonian due to intrinsic epidemiological and administrative clustering. Here, we use this clustering to classify the official national SARS-CoV-2 daily infection counts and check for infection counts that are unusually anti-clustered. We adopt a one-parameter model of $\phi _i^{\prime}$ϕi′ infections per cluster, dividing any daily count ni into $n_i/ _i^{\prime}$ni/ϕi′ ‘clusters’, for ‘country’ i. We assume that ${n_i}/\phi _i^{\prime}$ni/ϕi′ on a given day j is drawn from a Poisson distribution whose mean is robustly estimated from the four neighbouring days, and calculate the inferred Poisson probability $P_{ij}^{\prime}$Pij′ of the observation. The $P_{ij}^{\prime}$Pij′ values should be uniformly distributed. We find the value $\phi_i$ϕi that minimises the Kolmogorov–Smirnov distance from a uniform distribution. We investigate the (ϕi, Ni) distribution, for total infection count Ni. We consider consecutive count sequences above a threshold of 50 daily infections. We find that most of the daily infection count sequences are inconsistent with a Poissonian model. Most are found to be consistent with the ϕi model. The 28-, 14- and 7-day least noisy sequences for several countries are best modelled as sub-Poissonian, suggesting a distinct epidemiological family. The 28-day least noisy sequence of Algeria has a preferred model that is strongly sub-Poissonian, with $\phi _i^{28} < 0.1$ϕi28<0.1 . Tajikistan, Turkey, Russia, Belarus, Albania, United Arab Emirates and Nicaragua have preferred models that are also sub-Poissonian, with $\phi _i^{28} < 0.5$ϕi28<0.5 . A statistically significant (Pτ < 0.05) correlation was found between the lack of media freedom in a country, as represented by a high Reporters sans frontieres Press Freedom Index (PFI2020), and the lack of statistical noise in the country’s daily counts. The ϕi model appears to be an effective detector of suspiciously low statistical noise in the national SARS-CoV-2 daily infection counts.
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Luj

📢 Do you remember the xz supply chain attack (or backdoor) that happened one year ago and nearly compromised half the world? (I think you do)

I claim that we could have automatically detected this backdoor in NixOS thanks to reproducible-builds!

-> Go read about it in my blog post: luj.fr/blog/how-nixos-could-ha

🔁 Boosts would be much appreciated!

luj.frHow NixOS and reproducible builds could have detected the xz backdoor for the benefit of allJulien Malka homepage
#reproducibility#blogpost#nixos
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German Reproducibility Network

🔬✨ Interested in improving research transparency & reproducibility? Join the Meta-Science Summer School to design & launch a meta-research study!
➡️ Co-organized by the @GermanRepro
👥 Participants will learn about meta-research by designing and collecting data for a meta-research study in a small team
📅 Date: 15 - 20 June 2025; Apply by March 21, 2025!
🔗 More info: bihealth.org/en/notices/meta-s
🌐 Language: English
📌 Location: Frankfurt, Germany
#OpenScience #Reproducibility #MetaResearch #GRN (lmf)

Invitation to the Meta-Science Summer School and logos of affiliated and organizing institutions: Berlin Institute of Health (BIH), the German Reproducibility Network (GRN), the META REP Priority Program, iRise and the University of Coimbra EXCELScIOR project ERA chair.
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UniversityofGroningenLibrary

"Reproducibility should be a key factor in all your research, in all your projects. It costs time, but it's also shifting the time, and in the end it can save time again."

🎧 We are preparing new episodes for our #OpenScience Bites #podcast about #reproducibility.

We talked to Michiel de Boer of the @Dutch_Reproducibility_Network and we are very much looking forward to this episode. So stay tuned!

Previous episodes featured #OpenEducation and #PublicEngagement.

🔗rug.nl/research/openscience/po

Michiel de Boer in front of microphone for recording podcast episode.
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