Slow Food, Slow Publishing: The Beauty of Not Being First
Robert Harington reflects on our addiction to speed and advocates for slow scholarly publishing and the inherent beauty of not always being first.
Open Science 2.0: Building Understanding in an AI-Mediated World
Open Science 2.0 must focus not only on access, but also on trust, interpretation, learning, and effective communication. The challenge facing the scholarly publishing ecosystem is ensuring that what is open is also trustworthy, understandable, and genuinely useful.
Before the Guardrails: Why AI Governance in Research Must Start with Purpose
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.
Making AI Use of Scholarly Content Traceable, Measurable, and Trustworthy: A Meeting Report from Cambridge Scholarly AI Workshop
A Cambridge workshop proposes new standard work to support provenance, attribution and metrics in scholarly communications AI tools.
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.
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?
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.
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.
AI Rollout Is a People Problem: A Pulse on All Things AI, Part 2
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.
Guest Post — Knowledge as Civic Infrastructure: A Conversation with Nadim Sadek
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.
What AI Asks of Open Access
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.