Guest Post — May the AI Be With Science
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.
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.
Peer Review in the Era of AI: Risks, Rewards, and Responsibilities
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.
Guest Post — Is It Enough to Say a Journal Is ‘Peer Reviewed’? The Case for Rating Journals Based on Peer Review Quality
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.
New Directions in Scholarly Publishing: What We’re Looking Forward to This Year
What can you expect from this fall’s New Directions in Scholarly Publishing Seminar in Washington, DC?
When the Scoreboard Becomes the Game, It’s Time to Recalibrate Research Metrics
Today’s post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.
Guest Post – Where Do We All Fit In? Reflections on Belonging, Purpose, and Progress in Scholarly Publishing
Today’s guest post by Deja Forte declares: Publishing isn’t just about systems and standards; it’s about people. Each of us has the power to build bridges between knowledge and the lives it’s meant to benefit.
Guest Post – ODI Survey on AI and Web-Scale Discovery
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
Revisited: On Being a Leader Who Happens to Be a Woman of Color
During the first Trump administration, Alice Meadows interviewed three women of color who are leaders in their fields about their experiences. In this post, they revisit the topic in the light of their new positions and today’s political environment.
Guest Post – Code Plagiarism and AI Create New Challenges for Publishing Integrity
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
Guest Post — Beyond Classification: The Human Cost of Library and Information Labor Under Digital Capitalism
In an era of information abundance and epistemic chaos, libraries serve as crucial sites for democratic knowledge practices — protecting them is critical to preserving the infrastructure of informed citizenship itself.
2025 Update: Quantifying Consolidation in the Scholarly Journals Market
Catching up with the ongoing consolidation of the journals market — what has happened in the two years since this was last examined? And how does the market look if you add in a large number of relatively newly launched journals?
Guest Post — Who Controls Knowledge in the Age of AI? Part 2, Recommendations for Stakeholders
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
Guest Post — Who Controls Knowledge in the Age of AI? Part 1
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
Guest Post — From Overhead to Essential: The FAIR Model Recognizes Research Information Services as Essential to the Research Enterprise
FAIR represents the best opportunity of the models under consideration to ensure that research information services receive appropriate recognition and sustainable funding