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#reproducibility

15 post8 partecipanti0 post oggi
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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."

🎧Listen to the latest episode of our #OpenScience Bites podcast with Michiel de Boer of the @Dutch_Reproducibility_Network
🔗 rug.nl/research/openscience/po

⏳Open Science Bites is a series of short #podcast episodes - each around 10 minutes long - focusing on one specific open science practice.

rug.nl/opensciencebites

Michiel de Boer in front of a microphone during the recording of the podcast episode
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OpenSource
Meta-reproducibility crisis: Software edition Its not just a ‘replication crisis‘, its a repr...

https://crowdid.hypotheses.org/870

#Crowdsourcing #Meta-reproducibility #Numerical #reproduciblity #Open #science #R #Replication #Replication #crisis #Reproducibility

Event Attributes
CrowdidMeta-reproducibility crisis: Software editionIts not just a ‘replication crisis‘, its a reproducibility crisis. Forget about falsification if one can’t even reproduce the workflow of another. Efforts are underway to improve transparency which allows reproduction, good. But what if even with the original data, researchers cannot reproduce numerical results simply because of where they are in time and space? … Continue reading Meta-reproducibility crisis: Software edition
#metareproducibility
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NFDI x Computer Science

🔧 Research software that never breaks? That’s the idea behind Reusable Execution Environments (REEs)!

🎙️ NFDIxCS Soirée #9
🗓️ April 28, 17:30 CEST
👨‍💻 Christoph B. Blessing on REEs for WiKoDa
🔗 meetgi.zoom.us/j/83023672233

Learn how tools like Docker, Guix & REEuse can make research software reproducible and future-proof. More info: nfdixcs.org/event/nfdixcs-soir

#NFDIxCS#OpenScience#Reproducibility
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USB Köln

The start of our series
#ReproducibiliTea in the HumaniTeas
at the #NachtDerBibliotheken was almost a week ago. Now it continues: on 14 April, 4 pm with Martine Grice on the topic of ‘Accessible research: Fair, diamond, open, free.’
The sessions in English will all take place in hybrid mode, we will meet in room 4.006 in the USB. All information and dates: ub.uni-koeln.de/kurse-beratung #Reproducibility #OpenScience @UniKoeln @ElenLeFoll

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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 persone · Chiuso
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Helmholtz Open Science Office

4th Reproducibility Workshop @ @bimsb_mdc
📌 Co-organized by @hidadigital @HelmholtzOpenScienceOffice @mdc-berlin.bsky.social
📢 Keynotes by @al2na & @fmpaulus
🙌 Workshops by Deborah Schmidt, Ella Bahry & Ulf Tölch
👥 Roundtable "Reproducibility in Research Assessment" moderated by @JLRohmann with Wolfgang zu Castell, Miriam Kip, Sven Rank and @mathijsvleugel 🙏 Thank you everyone for valuable input and engaging discussions!
ℹ️ Slides will be published shortly
#OpenScience #Reproducibility (lmf)

Foto of round table participants of the 4th Reproducibility Workshop with the topic „Reproducibility in Research Assessment: Shaping transparent and measurable health research“ Speakers: Jess Rohmann (Charité - Universitätsmedizin Berlin), Mathijs Vleugel (Helmholtz Open Science Office), Miriam Kip (Berlin Institute of Health at Charité), Sven Rank (Forschungszentrum Jülich), Wolfgang zu Castell (GFZ Helmholtz-Zentrum für Geoforschung)
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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
#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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NFDI4DS

Call for papers: R2CASS2025 (r2cass2025.wordpress.com/)

Our NFDI4DS team member @arnim is co-organizer of the workshop “Social Science Meets Web Data: Reproducible and Reusable Computational Approaches” co-located with ICWSM 2025 (icwsm.org/) in Copenhagen, Denmark on June 23-26, 2025.

Submission via: easychair.org/my/conference?co
Deadline is: March 31st, 2025

#AI
#artificialintelligence
#discourseanalysis
#socialmedia
#reproducibility
#R2CASS2025
#NFDI4DS
#Copenhagen

Social Science Meets Web Data: Reproducible and Reusable Computational Approaches (R2CASS)Social Science Meets Web Data: Reproducible and Reusable Computational Approaches (R2CASS)International Workshop on Computational Reproducibility in Social Sciences
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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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