Guest Post — Beyond the Prestige: Why Scientific Impact is More Than a Numbers Game
Today’s guest post introduces the YCR-index as an alternative to measuring value with raw citation counts.
Today’s guest post introduces the YCR-index as an alternative to measuring value with raw citation counts.
Today’s post asks us to acknowledge the role of AI in peer review and ensure practical guidance and policies that help scholars respond with consistency and confidence.
The future of scholarly communication will not be determined by how powerful AI becomes, but by whether the research community remains clear about the purpose those capabilities are meant to serve and whether it can govern them together.
While it’s true that AI may be viewed as “legitimate,” it’s far from universally loved. Understanding that distinction tells us something important about how the technology may ultimately be adopted — and governed — within academia.
Today’s post explores what happens to the scholarly content platform when AI agents become the users.
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.