Keeping Knowledge Connected – at PIDfest 2026!
PIDfest is back and you’re invited! Find out more in today’s post by Alice Meadows about PIDfest 2026 (October 27-29, Leiden, The Netherlands).
PIDfest is back and you’re invited! Find out more in today’s post by Alice Meadows about PIDfest 2026 (October 27-29, Leiden, The Netherlands).
Today’s guest bloggers explain how semantic enrichment of scholarly content allows publishers to shape the next generation of technology by making it indispensable to AI.
A review of eight technology industry trend reports that offer a similar conclusion: AI is no longer a feature. It’s becoming infrastructure — and the unit of value is moving from “a better tool” to “a better system.”
Today’s guest blogger calls for adding “understandable” to the FAIR data principles, to ensure we do not surrender human knowledge in our rush for automation.
Is open scholarship an honest signal of researcher integrity? We present preliminary evidence that data and code sharing, preprinting, and other open behaviors are indeed less common in papermill articles.
Today’s guest post features an interview with William Gunn discussing how AI will (or won’t!) change the future of reference management tools.
In today’s post Alice Meadows shares some of the feedback gathered by MoreBrains and UKRI about the technical requirements of its OA policy, including thoughts from three speakers at a UKRI webinar on the topic.
The year in search at Google — is this the last one of these we’ll see?
We talk a lot about AI in scholarly communications and publishing, but today, we ask the Chefs: What’s your favorite AI hack?
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.
If science is to be both honest and healthy, we must accept that statistically non-significant results are part of reality. The SAMPL guidelines, if adopted widely by scholarly publishers and journal editors, hold a solution for authors who worry their results are not “significant.”
Today, we speak with Prof. Yana Suchikova about GAIDeT, the Generative AI Delegation Taxonomy, which enables researchers to disclose the use of generative AI in an honest and transparent way.
Today’s guest bloggers share analysis on the relationship between impact and policy during Global Goals Week 2025.
In an era of information abundance and epistemic chaos, libraries serve as crucial sites for democratic knowledge practices — protecting them is critical to preserving the infrastructure of informed citizenship itself.
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.