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.
Guest Post — Research Needs a Shared Standard for AI Disclosure
Today’s guest post presents outcomes of the WCRI’s (World Conferences on Research Integrity) Focus Track to address this gap in clarity and standardization of AI disclosure.
Guest Post — Now is the Time for AI in Peer Review, and Publishing Policies Need to Recognize This
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.
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.
Guest Post — Legitimate but Not Loved: What Academic Librarians Think About AI
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.
A Platform Comes Apart: Part 1
Today’s post explores what happens to the scholarly content platform when AI agents become the users.
Ask the Fellows: SSP’s 2026 Annual Meeting
Today, we offer reflections on the SSP Annual Meeting from our 2026 Fellowship cohort.
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.
Ask the Community: Takeaways from SSP 2026
We asked some of the attendees of the recent SSP Annual Meeting in Chula Vista, CA, to answer the question: “What are some takeaways from your experience at SSP 2026?”
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.
Guest Post — Trust & Community Are the Moat, Infrastructure is Your Leverage: Dispatches from PurePub.AI
Today’s guest post asserts that AI infrastructure will let publishers truly leverage machines, while brand and community are what will keep them meaningful to humans.
Ask the Chefs: SSP 2026 Annual Meeting
The Chefs offer their reflections on last week’s SSP Annual Meeting.
Data Reuse is the Sincerest Form of Flattery
A powerful way to quantify article quality has been hiding in plain sight. It’s time to bring data citations into the limelight.