In case you missed it, last November a vulnerability in OpenReview led to a #dataleak of 10,000 confidential submissions to the International Conference on Learning and Representation (ICLR).

Leaked data included detailed reviewer information and no-longer-anonymous reviews.

https://forum.cspaper.org/topic/191/iclr-i-can-locate-reviewer-how-an-api-bug-turned-blind-review-into-a-data-apocalypse

#infosec #privacy #PeerReviewing

ICLR = I Can Locate Reviewer: How an API Bug Turned Blind Review into a Data Apocalypse

On the night of November 27, 2025, computer-science Twitter, Rednote, Xiaohongshu, Reddit and WeChat group lit up with the same five words: “ICLR can open t...

CSPaper: peer review sidekick
#VeilleIST
Publications scientifiques : un process de #peerreviewing plus long pour les auteurs femmes que hommes ?
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003574
S'intéressant aux facteurs de la sous-représentation académique des femmes (et des obstacles rencontrés), diverses études se sont intéressées aux publi et aux possibles biais du système de peerreview.
En économie, diverses études ont pointé une durée de peer-reviewing allongée pour les femmes. D'autres non. Cet article propose de documenter la situation en sciences de la vie / biomed (qui représente plus 1/3 des publis dans le monde) à partir de la base Pubmed.
Biomedical and life science articles by female researchers spend longer under review

Women are underrepresented in academia, especially in STEMM fields, at top institutions, and in senior positions. This study analyzes millions of biomedical and life science articles, revealing that female-authored articles spend longer under review than comparable male-authored articles, across most fields.

gpt-5.2 ChatGPT: adapt tests to new core.git commands/queries split · kevinveenbirkenbach/package-manager@e117115

- Update mirror integration tests to use probe_remote_reachable - Refactor branch action tests to mock git command helpers instead of run_git - Align changelog tests with get_changelog query API - ...

GitHub
The Guardian describes the process of getting #published in #science #journals as #broken: In 2020 alone, #academics globally spent >100 million hours #PeerReviewing journal papers. In the US, that time spent amounted to >$1.5 billion of free labor." https://www.theguardian.com/science/2025/jul/13/quality-of-scientific-papers-questioned-as-academics-overwhelmed-by-the-millions-published (1/2)
Quality of scientific papers questioned as academics ‘overwhelmed’ by the millions published

Widespread mockery of AI-generated rat with giant penis in one paper brings problem to public attention

The Guardian
Frontiers introduces FAIR² Data Management - Research Information
L'éditeur scientifique Fontiers lance le #peerreviewing par l'#AI #artificialintelligence avec son service FAIR² Data Management
https://www.researchinformation.info/news/frontiers-introduces-fair%C2%B2-data-management/
Frontiers introduces FAIR² Data Management - Research Information

Publisher says its AI-powered "first-of-its-kind peer-reviewed service" turns research data into a "catalyst for breakthroughs"

Research Information

Deux des fondateurs de #PeerCommunityIn, Denis Bourguet et Thomas Guillemaud, plaident pour des décisions claires d’acceptation ou de rejet des #Préprints peer-reviewés car ⚠️ #PeerReviewing et Curation ne sont pas nécessairement des validations

➡️ https://www.coalition-s.org/blog/peer-reviewed-preprints-and-the-publish-review-curate-model/

Peer-reviewed preprints and the Publish-Review-Curate model | Plan S

<p>The traditional scientific publication model, characterized by gate-keeping editorial decisions, has come under increasing criticism. Opponents argue that it is too slow, opaque, unfair, lacking in qualifications, dominated by a small group of individuals, inefficient, and even obsolete. In response to these critiques, two alternatives have gained traction: peer-reviewed preprints and the Publish-Review-Curate (PRC) model […]</p>

#Vanity Journals, Conflicts of Interest, and the Quest for #Research #Integrity

👉 "November 2024 has been another intriguing month for the forensic #scientometrics community. A particular gem of a sentence from a paper in the 'International Journal of Hydrogen Energy’ has been making the rounds on social media and PubPeer, prompting lively discussions."

https://fosci.substack.com/p/vanity-journals-conflicts-of-interest

#VanityJournals #journals #publishing #academicpublishing #ScholComm #ethics #Elsevier #science #peerreviewing

Vanity Journals, Conflicts of Interest, and the Quest for Research Integrity

November 2024 has been another intriguing month for the forensic scientometrics community.

Forensic Scientometrics
[Report] rapport MIT- NSF sur l' #openaccess côté #USA “Access to Science & Scholarship 2024: Building an Evidence Base to Support the Future of Open Research Policy” => https://mitpress.mit.edu/the-mit-press-releases-report-on-the-future-of-open-access-publishing-and-policy/
#openscience #impact #policies #science #peerreviewing #datasharing #infrastructures
The MIT Press releases report on the future of open access publishing and policy

The comprehensive report is the outcome of a National Science Foundation-funded workshop, identifying critical issues in open access publishing and how to address them.

MIT Press
Using PubPeer to screen editors

  2023 was the year when academic publishers started to take seriously the threat that paper mills posed to their business. Their resear...

Strengths, Weaknesses, Opportunities, and Threats: A Comprehensive SWOT Analysis of AI and Human Expertise in Peer Review - The Scholarly Kitchen
Réflexion sur l'interaction #peerreviewing #peerreviewer et #ai #artificialinteligence
https://scholarlykitchen.sspnet.org/2024/09/12/strengths-weaknesses-opportunities-and-threats-a-comprehensive-swot-analysis-of-ai-and-human-expertise-in-peer-review/
Strengths, Weaknesses, Opportunities, and Threats: A Comprehensive SWOT Analysis of AI and Human Expertise in Peer Review - The Scholarly Kitchen

AI-generated content has been discovered in prominent journals. Should peer reviewers be expected to find AI text in manuscripts? Where in the publication workflow should these checks be done?

The Scholarly Kitchen