Guest Post — Why Research Expectations Have Outpaced the Systems That Enabled Them (Part 1)
Today’s guest blogger questions the operating model around scholarly research and asks why these capabilities are so difficult to sustain at scale.
Guest Post — From Parasitism to Symbiosis: Escaping Peer-Pressure and For-Profit Publishers Through Diamond Open Access
Two environmental researchers argue that open-access publishing has undergone major “environmental” shifts, triggering rapid and far-reaching evolutionary responses, not unlike natural ecocystems.
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.
Guest Post — Milestones that Matter: Celebrating a Wartime SSP Presidential Term
Today, we reprise the talk by outgoing SSP President Rebecca McLeod at last month’s SSP Annual Meeting.
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.
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.
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 Rise of China’s Scholarly Publishing System Part 2: Navigating China’s Publishing Ambition — Strategic Options for International Publishers
China’s publishing ambitions create genuine competitive pressures, but they also open opportunities for collaboration and highlight challenges that neither side can address alone
The Rise of China’s Scholarly Publishing System Part 1: China’s Journal Ecosystem Is Accelerating
China is no longer simply a major contributor to global research output; it is increasingly becoming a key force shaping the future of scholarly publishing. Understanding what is actually happening, and why, is the necessary first step before considering how publishers should respond.
Beyond the Article, Beyond the APC: What We Learned from 18 Months of R&D
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?
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.