The Representation Is Not the Scholarship
The problem with AI may not be that machines are growing more intelligent. It may be that we are becoming increasingly skilled at amplifying a highly capable, but limited form of cognition.
Ask the Chefs: What Would You Have Done Differently About Open Access/Open Science if You Predicted the World as it Exists Today? Part 2
Let’s continue our “Ask the Chefs” conversation about what they might do differently with their open access strategy if they knew then what they know now.
Ask the Chefs: What Would You Have Done Differently About Open Access/Open Science if You Predicted the World as it Exists Today? Part 1
Today, we “Ask the Chefs” to consider what they might do differently with their open access strategy if they knew then what they know now.
Guest Post — Medical and Health Data Sharing Policies Need Specific Guidance: New STM Recommendations Aim to Help
STM has released voluntary recommendations to help journals and publishers clarify data sharing guidance for medical and health science researchers, where privacy, regulation, and ethics make generic policy language especially hard to apply.
Are Libraries Prepared for the Second Digital Transformation of Distinctive Collections?
Academic and research libraries, as well as public libraries, historical societies, and other organizations, hold extensive collections of rare and unique materials, such as archival and manuscript collections. These materials form an essential part of humanity’s cultural and historical record, and they are the vital source material for many humanistic fields. I believe that a second digital transformation is at hand for distinctive collections. How can library leaders establish a strategy for their distinctive collections that is fit for purpose today?
Mental Health Mondays: What We Haven’t Talked About
Today’s post shares a personal reflection on the importance of Suicide Prevention Month and how our community can best support colleagues who may need support.
Guest Post — Six Ways to Close the Attribution Loop in Publishing
Today’s guest bloggers present a 6-part model for explaining spikes in manuscript submissions and better informing future publishing strategies.
AI and Scholarly Reading: Foxes versus Hedgehogs
Some readers are foxes, and some are hedgehogs. What kind of reader is AI, and how will that impact both the practice of science and the business of journal publishing?
Damned if You Do, Damned if You Don’t: Multilingual Researchers’ Use of AI in Academic Writing
Generative AI has made language tools ubiquitous, but it introduces risks of homogenized texts and semantic slippage.
Rethinking Scholarly Evaluation: Matching Rigor to Purpose
What if the systems designed to protect scientific rigor are also making it harder for new ideas to emerge? Do different scholarly contributions deserve unique forms of evaluation?
Kitchen Essentials: An Interview with Daniela Saderi of PREreview
Today’s Peer Review Week post is a Kitchen Essentials interview with Daniela Saderi, Executive Director of PREreview.
Guest Post — Peer Review Triage: Deciding What’s Worth Saving
Today’s guest post asks what about our current peer review system is worth saving and if we’re able to establish one that protects editorial judgment and preserves research integrity.
Ask the Chefs: Peer Review Capacity — Uncomfortable Truths and Overlooked Conversations
For Peer Review Week 2026, we asked the Chefs two questions: What is one uncomfortable truth about peer review that the scholarly publishing community doesn’t talk about enough? And, beyond recruiting more reviewers, what conversation about peer review capacity are we overlooking?
Guest Post — A Groupthink We Don’t Talk Much About
Today’s guest post challenges our community to face tendencies toward groupthink and address the incentive structures that resist adaptation and innovation.
Ask the Chefs: AI and Copyright Licensing
The US Department of Justice filed a Statement of Interest in the copyright infringement litigation between The New York Times and OpenAI and Microsoft, et. al., largely siding with the AI companies and strongly favoring the notion of LLM training as fair use. We asked the chefs for their thoughts.