Guest Post — Defining Our Future: Reassessing What, How, and Why We Publish
Today, the co-chairs of the 2027 SSP Annual Meeting discuss the theme and the importance of gathering to discuss what, how, and why we publish.
Today, the co-chairs of the 2027 SSP Annual Meeting discuss the theme and the importance of gathering to discuss what, how, and why we publish.
Thoughts on the Frankfurt Book Fair 2026: how do we turn trusted content into useful knowledge — and help people act on it?
Today’s guest post takes a deeper view into how researchers are currently engaging with AI and scholarly research, positing that we’re now seeing a shift from agentic discovery to consumption.
As Duke University Press celebrates its 100th year, we take some time to reflect on our history and the important role played by university presses.
The community comes together to launch TRACE, a project to improve generative AI systems’ interoperability, verifiability and usage tracking.
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.
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.
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?
The journal portfolio, platform, or membership is no longer enough, as AI transforms how research is discovered and consumed. How will your organization adapt?
Today’s interview with Sylvia Chou and Alexa Romberg, formerly of NIH, sheds some light on censorship at the agency and the damage it’s doing to health research.
Today’s guest bloggers posit four important trends in scholarly communications that our community should be ready to tackle.
Identifying AI content is now embedded in Claude models. It doesn’t solve the problem we have. It also creates others.
Machine readers replacing human readers can sound like a threat. Today’s post argues that our community is well prepared to face these challenges and seize the opportunities.
In this AI era, establishing trust and validating article versions with persistent identifiers (PIDs) is more important than ever.
Today’s guest post argues that digital preservation is not just a technical problem, but a function that often ignores issues of social justice, quietly codifying existing imbalances in scholarly communication.