Guest Post — AI as Reader, Author, and Reviewer: What Stays Human?
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
Today’s guest blogger sees scholarly publishing at a critical inflection point and research suffering from a flawed incentive structure. Can systems thinking offer innovative solutions?
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.
For decades, EAL researchers have faced systemic disadvantages in publishing. AI writing tools promise relief, yet, they also bring new risks into science.
Event planners are faced with the delicate balance between constructing spaces for deeper connection with the impact we’re having on our planet. Here’s what I’ve learned about planning events that prioritize sustainability.
In the fast-moving world of AI research tools, there are many community-focused concerns that vendors should have strong opinions on and plans for, from privacy and security to sustainability and copyright. But the most misunderstood issue, in my view, is the one at the heart of it all — how AI will reshape the economics of academic research.
Today’s guest bloggers share analysis on the relationship between impact and policy during Global Goals Week 2025.
Tony Alves reflects on the 2025 Peer Review Congress and the rapid evolution of discussions about AI and peer review since 2022.
Today’s guest author offers a progress report on recent efforts to build open-source technology for open access book metrics.
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
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.
The future of peer review isn’t about choosing between humans and AI, or between speed and quality, but about combining the strengths of both to enable speed with quality, to ensure quality, ethics, and trust in the scholarly record.
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?
Today’s post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.