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#peerreview

5 posts5 participants0 posts today

Joseph Gedeon : Jr threatens ban on federal scientists publishing in top journals: US health secretary calls leading medical journals such as Lancet ‘corrupt’ and pushes to create state-run alternatives

Guess what? There already government-funded health journals (e.g., EHP and JHP), but RFK or defunded them so that they can no longer do peer reviews or accept new submissions.


theguardian.com/us-news/2025/m

The Guardian · RFK Jr threatens ban on federal scientists publishing in top journalsBy Joseph Gedeon

Enjoying 90 mins away from the coalface with @simonxix @scrivenersmith @copim and others, to hear more about new frontiers in (scholarly) publishing, e.g. harnessing markdown, deploying Juncture, peer review via GitHub, Linked Open Data, WikiData, and other animals... Juicy! Noice! 😀

copim.pubpub.org/pub/markdown-

Copim · Markdown, dive deep23 May 2025, 15:00-16:30 CEST: A hybrid online session exploring Markdown writing & publishing for deep mapping

Reimagining peer review: new #spotLights episode discussing the Fast & Fair peer review initiative launched by @BiologyOpen

Dan, Alejandra & Jonathan discuss early insights, now published as a #bioRxiv #preprint, and how you can get involved.

Listen below ⬇️ 🎧
youtu.be/mM6mZIubZaw

youtu.be- YouTubeEnjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

"The pilot employs state-of-the-art methodologies in the responsible deployment of LLM technology, including:

Multi-step reasoning processes at inference time
Web search capabilities as tools in the reasoning chain
Rigorous checks for proper data source attribution
Comprehensive monitoring and evaluation of LLM contributions
"

#AAAI Launches AI-Powered #PeerReview Assessment System
aaai.org/aaai-launches-ai-powe

AAAI · AAAI Launches AI-Powered Peer Review Assessment System - AAAIAAAI today announced a pilot program that strategically incorporates Large Language Models (LLMs) to enhance the academic paper review process for the AAAI-26 conference.

📢"Peer Review at the Crossroads" (v2) is out!
🔄Improved via @MetaROR peer review.
Key adjustments:
✅ Standardized terminology
✅ Restructured sections for clearer logic
✅ Explicitly flagged personal perspectives + balanced claims with limitations
✅ Expanded discussion on transparency and equity
🔗 Read the full paper here osf.io/preprints/socarxiv/b2ra
#PeerReview #PublishReviewCurate #ScholarlyPublishing #ScholarlyCommunication #OpenReports #OpenIdentities #RegisteredReports #ModularPublishing

osf.ioOSF

Pressures and Solutions for Shoestring-Budget Journal Publishers: how do small, non-profit journal publishers maintain editorial quality amid tightening resources, rising competition, & misinformation & AI?

The panel explored how cultural and linguistic factors, particularly in small nation settings, complicate plagiarism detection & editorial consistency. Small communities improve trust but risk bias.

EASE is grateful for the kind invitation by the mayor of Oslo, Anne Lindboe, and the generous hospitality of Oslo city hall. To protect science from disinformation, scientists and science editors must not forget they are citizens at first. The way to safeguard trustworthiness of science and ensuring its rigor and integrity is to engage with citizens and empower their critical thinking skills.

🔴 Six months. Two rounds of peer review. Then, a rejection — with no meaningful explanation.

When journals ask authors to thoroughly revise a manuscript and engage constructively with feedback, they carry a responsibility too: to evaluate the revised work fairly & transparently.

What makes this more disappointing is that the journal in question is European Science Editing, published by an organization that advocates for ethical and responsible editorial practices.

Continued thread

What can we learn from this?

Single-blind #PeerReview is the worst. And we're not even allowed to lift the curtain. Confidential it is.

If you want to publish easy and high-fly: pick a data-wise trivial hypothesis, and test it using machine-generated and -processed phylogenomic data.

If you want to publish a "highly descriptive and speculative manuscript that ignores many rich innovations in model-based analysis" because you can fall back on evidence and don't need models. Just don't.

Pretty content with myself, today.

I used the one-way street called "single-blind peer review" in the wrong direction and reviewed the reviews in a (prob. pointless) letter to the editor.

You struggle hard to keep to the word-limit of the journal, just to get blamed for having a too short Materials and Results, "concealing" the many weaknesses of one's work. And nobody minds the 30p long Suppl. M&M and 113p long Suppl. R&D