The Year in Review: 2025 in The Scholarly Kitchen
Before we plunge into 2026, a look back at 2025, a difficult year for many in the scholarly community.
Before we plunge into 2026, a look back at 2025, a difficult year for many in the scholarly community.
Today’s guest blogger challenges us to look beyond the hype of AI, and embrace AI agents handling platform grunt work, validation, and parallel processing that expands what we can accomplish with immediate and substantial productivity gains.
AI is presenting new challenges while also giving us tools to innovate in ways. The most successful publishers will be those willing to challenge the status quo.
The UKSG Forum is “an entire 2-3 day conference stripped back to bare essentials and completed in just one day”. Here are the key takeaways — changing priorities, from global to local; why it is getting harder to keep up and keep order; and the overriding importance of trusted relationships.
The year in search at Google — is this the last one of these we’ll see?
Today’s guest post spotlights a new scientific intelligence engine inspired by Thomas Kuhn’s theory of scientific revolution and the mission to give humanity the ability to see its own progress while it unfolds.
Rather than just bolting on AI to existing publication workflows,there is a real opportunity to rethink and redesign them for human–AI collaboration. Some thoughts on what that looks like in practice.
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
Today’s guest blogger shares highlights from a recent panel at the New Directions Seminar that concluded AI is simultaneously the largest challenge and the largest opportunity.
If libraries are civic institutions that structure society’s relationship to knowledge, and generative AI is poised to reshape discovery whether libraries act or not, will library leaders will develop strategies that preserve trust, equity, and sustainability?
Each new change in scholarly communication promises to make research fairer, faster, more transparent. Yet, in many cases, researchers, especially from under resourced countries or from countries where English is not the first language, face added pressure to catch up, rather than to move forward.
For decades, EAL researchers have faced systemic disadvantages in publishing. AI writing tools promise relief, yet, they also bring new risks into science.
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
In the fast-moving world of AI research tools, there are many community-focused concerns that vendors should have strong opinions on and plans for, from privacy and security to sustainability and copyright. But the most misunderstood issue, in my view, is the one at the heart of it all — how AI will reshape the economics of academic research.
AI web harvesting bots are different from traditional web crawlers and violate many of the established rules and practices in place. Their rapidly expanding use is emerging as a significant IT management problem for content-rich websites across numerous industries.