Guest Post — What Do College Students Lose When Libraries Are Ignored?
Today’s guest post argues that academic libraries are an investment in the very foundation of quality scholarship and responsible publishing.
Today’s guest post argues that academic libraries are an investment in the very foundation of quality scholarship and responsible publishing.
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.
Since every possible method and model of scholarly communication is imperfect, a healthy scholarly ecosystem must be pluralistic, providing space for experimentation and for a diversity of methods, models, and philosophies to coexist.
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.
Today’s guest post is by Meagan Phelan of AAAS, who asks: If more research is openly available than ever before, and open is framed as a way to build trust, why isn’t public trust in science at an all-time high?
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.
If science is to be both honest and healthy, we must accept that statistically non-significant results are part of reality. The SAMPL guidelines, if adopted widely by scholarly publishers and journal editors, hold a solution for authors who worry their results are not “significant.”
Today, we speak with Prof. Yana Suchikova about GAIDeT, the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.
Tony Alves reflects on the 2025 Peer Review Congress and the rapid evolution of discussions about AI and peer review since 2022.
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.