The OMB Guidance Revision Threatens All Research
The OMB proposed revision is about all research — and humanities research is just as vulnerable as STEM.
Guest Post — Now is the Time for AI in Peer Review, and Publishing Policies Need to Recognize This
Today’s post asks us to acknowledge the role of AI in peer review and ensure practical guidance and policies that help scholars respond with consistency and confidence.
The Rise of China’s Scholarly Publishing System Part 2: Navigating China’s Publishing Ambition — Strategic Options for International Publishers
China’s publishing ambitions create genuine competitive pressures, but they also open opportunities for collaboration and highlight challenges that neither side can address alone
Guest Post — Quality Over Quantity: Why Scholarly Publishing Needs Stronger Front-End Gatekeeping to Build Trust and Long-Term Value
Today’s guest bloggers call publishers to lean into, rather than away from, their liability for science integrity and rigor.
Guest Post — Could AI Help Fix Peer Review, or Will it Only Make Things Worse?
Today’s post asserts that peer review, which is still of vital importance to science, is clearly failing in the current age — could AI save the day?
AI in Peer Review: Revisiting an 8-year-old Debate
In 2018 at SSP New Directions, Neil Blair Christensen and Angela Cochran participated in an Oxford debate on the use of AI in Peer Review. Today, they revisit their main points and reflect on where they think we are today and will likely be in another 8 years.
Guest Post — Re-imagining Scholarly Integrity: The “Continuum of Consensus” Quality Control System
Today’s guest blogger proposes the “Continuum of Consensus” as a solution to shore up research integrity, peer review, and the public trust in scholarly research.
Reimagining Scholarly Publishing Workflow: A High-Level Map of What Changes Next
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.
Manuscript Submissions Are Up! That’s Good, Right?
Publishers have led themselves into a mess by focusing on rising submissions as a positive indicator of journal performance. The time has come to close the floodgates and require that authors demonstrate their commitment to quality science before we let them in the door.
Three Years After the Launch of ChatGPT, Do We Know Where This Is Heading?
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
Peer Review in Transition: Helen King and Christopher Leonard on AI and the Future of Peer Review
Today, we talk to thought leaders Helen King and Chris Leonard, who offer a nuanced look at how peer review might adapt, fracture, or reinvent itself in the AI era.
Ask the Chefs: What’s a Bold Experiment with AI in Peer Review You’d Like to See Tested?
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?
From Detection to Disclosure — Key Takeaways on AI Ethics from COPE’s Forum
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.
Guest Post: Gatekeepers of Meaning — Peer Review, AI, and the Fight for Human Attention
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?
Preprints and Journals: A Model Publishing Ecosystem
Robert Harington digs into the world of preprints. He uses the field of mathematics to explore how an inclusive view of preprints and published articles leads to a research ecosystem that is greater than the sum of the parts.