A Platform Comes Apart: Part 1
Today’s post explores what happens to the scholarly content platform when AI agents become the users.
Attribution, Provenance, Reference, Citation, and AI for Research Applications – Understanding the Differences
Building robust citation and attribution into generative AI systems are foundational to usage, credit and trust. We need to expect more from AI.
Guest Post — Fixing the Leaky Metadata Pipeline: A Conversation with the Creator of Research Nexus Score
Today, guest blogger Rob Johnson speaks with the creator of Research Nexus Score, and observes that metadata quality has gone from a niche concern to a sector-wide anxiety.
Building Scholar-Ready AI: A Conversation with Todd Toler
A conversation on AI retrieval, the provenance problem, and the shared infrastructure scholarly publishing needs.
Guest Post — Advancing Federated Identity in the Library Ecosystem
Federated identity should be a natural fit for library access. So why isn’t it?
Guest Post — Scholarly AI Search Shortcomings and the Need for Better Metadata
AI scholarly search tools often miss important literature due to incomplete metadata. Better full-text-derived metadata could significantly improve discovery.
The User Has Changed. Has Scholarly Publishing?
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.
Seven Questions about CC Signals
With CC Signals, Creative Commons wants to help authors put rules on use of their licensed content for AI training. The problem is, one of the licenses already permits free and unlimited reuse of that content, for any and all purposes. And the licenses are irrevocable.
Guest Post — A Friendly Debate: Where Automation Will (And Should) Land in the Research Lifecycle
Today, we feature a friendly debate on the question: which parts of the research lifecycle should be more automated, and which require more of a human touch — and why?
Guest Post — When AI Helps Write Research: What Happens to Lived Experience?
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.
Filter, Not Funnel: What Zero-click Means for Brand and Engagement
The threat of zero-click search makes organizational brand more important than ever and presents a huge opportunity.
Guest Post — Love, Death & Robots: Scholarly Edition
Today’s guest post proposes a method for identifying, measuring, and managing robotic usage of scholarly content.
The Opportunities and Perils of Discovery: STM Releases its Trends 2030
The new STM Trends 2030 was released, symbolizing a world full of opportunities but also with dangers lying just below the surface for scholarly publishing.
Academic Publishing in the Age of AI: From Content to Trust
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.
Guest Post — Moving from Identifier to Identity for Researchers
Today’s post calls for collective action to address the researcher identity verification gap in scholarly communications and champions STM’s Researcher identity group.