Building Scholar-Ready AI: A Conversation with Todd Toler
A conversation on AI retrieval, the provenance problem, and the shared infrastructure scholarly publishing needs.
A conversation on AI retrieval, the provenance problem, and the shared infrastructure scholarly publishing needs.
Today’s post shares the results of an initiative designed to answer the question: what would it actually take to build a publishing model fit for the research ecosystem we have now, rather than the one we inherited?
For scholarly publishers, the user has changed faster than the systems designed to serve them, and the gap between the two is where most of the difficult work is happening.
In honor of Global Accessibility Awareness Day, today’s post shares results from an experiment with qualitative data analysis — demonstrating that, while AI can detect patterns, humans must decide what those patterns mean.
Publishers that lack a deliberate library relations strategy are making consequential decisions without important and useful community perspectives.
Today’s guest post proposes a method for identifying, measuring, and managing robotic usage of scholarly content.
Today BioOne and Johns Hopkins University Press announced that they’re joining forces. Learn more in this interview with Lauren Kane, Barbara Kline Pope, and Wendy Queen
Today’s guest post sounds an alarm about the use of AI in research and warns that no amount of computational efficiency can compensate for the loss of our capacity for human thought.
AI in science should not be viewed merely as a productivity tool layered onto existing workflows. It represents a structural shift in how knowledge moves through society, and therefore in how scientific authority is established and maintained.
Today’s post calls for collective action to address the researcher identity verification gap in scholarly communications and champions STM’s Researcher identity group.
Today’s guest post explains the new data space pilot, which will be the focus of the upcoming BISG/SSP webinar on May 12, 2026.
There is more and more skepticism toward the role of publishers, a steady commoditization of publishing services, and growing fragmentation across the research ecosystem. If that is the case, the question is no longer what publishers do, but how that value is understood and extended.
Faced with technological shifts not seen since the advent of the internet, Todd Toler and Angela Cochran posit that the biggest challenges for organizations building an AI strategy are human, not technology.
Wendy Queen interviews Nadim Sadek. Nadim is a creative strategist and founder of Shimmr AI, who argues that AI can strengthen human creativity rather than replace it.
As AI systems increasingly reason from the scientific literature, the integrity signals that make research trustworthy — open data, structured metadata, robust retraction processes — matter more than ever. PLOS CEO Alison Mudditt on why open access publishers have a different set of obligations in an AI world.