New Study - The uptake of open and signed peer reviews, and the 2023 peer review taxonomy remains low - even among EASE members' journals ese.arphahub.com/article/1827...
EASE India webinar 'Redefining Manuscript Editorial Expertise in 2026' coming up on Thursday, 18 June.
The focus of this session with Hema Thakur will be on where editors add value in the AI landscape and why it matters.
This free webinar will be conducted in English.
bit.ly/IndiaWebinar...
The Rise of China's Scholarly Publishing System Part 1: China's Journal Ecosystem Is Accelerating - The Scholarly Kitchen
By 2025, an est. 57% of published journal articles exhibited evidence of #LLM influence, up from 12% in '23, among 7.3M published in 2020–25 by 4 major publishers www.pnas.org/doi/10.1073/...
@pnas.org @kylesiler.bsky.social
Current #AI tools for writing scientific reviews are far from ready for mainstream adoption, and the assumption that machines can replace humans on all methodological tasks is flawed
www.nature.com/articles/d41...
@nature.com @cochrane.org
Deliberately constrained LLMs can mitigate some of the risks of using the models as a writing aid if ESL authors prompt the tools to interrogate causal boundaries. Click to read examples!
jamanetwork.com/journals/jam...
@jama.com @metricstanford.bsky.social @bmj.com
An #AI led analysis of publicly available #PeerReview reports for #NatureCommunications papers links requests for major revisions with papers that end up having high impact.
www.nature.com/articles/d41...
@nature.com @marilenharo.bsky.social
@nature.com will now welcome Registered Reports across the fields in which they publish, extending beyond hypotheses-testing studies to include those that eg gather large amounts of data or compare scientific methods
www.nature.com/articles/d41...
If writing is a core practice through which scientists think, signal quality, & make knowledge accountable, letting #AI do the writing risks eroding #authorship and the epistemic foundations of science itself
journals.plos.org/plosbiology/...
@plos.org
Nature spoke to a variety of scientists, from highly adept coders to complete beginners, who are using AI to stretch the limits of the coding they can do. Many use AI-assisted coding in their work, and some are intentionally testing its limits. #Academicsky 🧪
China is no longer simply a major contributor to global research output; it is increasingly becoming a key force shaping the future of scholarly publishing. Understanding what is actually happening, and why, is the necessary first step before considering how publishers should respond.
scholarlykitchen.sspnet.org
Large language models (LLMs) are rapidly changing academic research, raising questions
of who is adopting these tools and under what conditions. Th...
The production of the highest-quality literature reviews requires the judgement and expertise of people.
www.nature.com
This Viewpoint explores whether the utility artificial intelligence (AI) tools for non-native English researchers may compromise the epistemic accuracy of scientific writing.
An AI-led analysis of publicly available peer-review reports links requests for major revisions with papers that end up having high impact.
www.nature.com
Registered Reports improve the credibility of scientific claims by rewarding big questions, sound methods and solid analyses. They need to become a standard tool in research.
www.nature.com
The use of large language models is rapidly transforming the scientific writing process, making it quicker and easier to write research papers. However, this Perspective urges caution when using such ...
