Peer Review Quality Ratings could offer a powerful step toward restoring faith in the scholarly research system, highlight exemplary practices, and ensure that robust, verified science continues to illuminate the path forward for humanity.
To kick off Peer Review Week, we asked the Chefs, What’s a bold experiment with AI in peer review you’d like to see tested?
What can you expect from this fall’s New Directions in Scholarly Publishing Seminar in Washington, DC?
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.
Today, guest blogger, Priyanka Gupta, shares the story of her career journey from academia to editorial leadership.
Scholarly communications leaders have the opportunity to turn AI uncertainty into discovery.
Guest blogger Hema Thakur shares results of her experiment using AI to improve the accessibility of peer review feedback — her findings may concern you!
Guest blogger, Ashutosh Ghildiyal, asks: Is AI for us, or are we for AI? In the all-important context of peer review, can we leverage AI to amplify human thought rather than replace us?
Christos Petrou examines the rapid growth in publication volume coming from China, and how that is impacting the publishing industry.
This post explores why many Middle East- and North Africa-based journals remain underrepresented in global indexing databases, how this affects both local and international knowledge flows, and what alternative pathways can bring the region into fuller view.
A summary of the European Association of Science Editors (EASE) debate session, where Haseeb Irfanullah argued in favor of a motion declaring that journal editors do not need to worry about preventing the spread of misinformation, while Are Brean argued against it.
We are pleased to announce the official theme for Peer Review Week 2025, to be held from 15–19 September 2025.
How does the Directory of Open Access Books navigate challenges to instill trust and transparency. Part 1 of 2.
The analysis of operational data is complex, dull, and unrewarding. It is also necessary. Three case studies of major journals and portfolios explain why.
Today, Alice Meadows talks to Krishna K. Chinnaiah and Alice Ellingham of Molecular Connections about their experience of (respectively) acquiring and being acquired