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?”
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?”
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.
The Chefs offer their reflections on last week’s SSP Annual Meeting.
China’s publishing ambitions create genuine competitive pressures, but they also open opportunities for collaboration and highlight challenges that neither side can address alone
A powerful way to quantify article quality has been hiding in plain sight. It’s time to bring data citations into the limelight.
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.
Research disciplines require institutions that create cohesion, uphold standards, and provide continuity over time. Scholarly societies are uniquely positioned to serve that role credibly and durably.
Today we bring you a dose of Friday fun, with thanks to the National Trust.
Today’s guest post asserts that trust won’t be restored by “better messaging” alone, but via better incentives, more disciplined public communication, and really listening to the people who have walked away from us.
This month’s Pulse Check survey focuses on our community’s views on advocacy, industry priorities, and challenges of engaging with policymakers and the public.
Today’s guest bloggers call publishers to lean into, rather than away from, their liability for science integrity and rigor.
This Friday, we offer a humorous take on the importance of empirical evidence in this era of fraud and mis/disinformation.
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 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.