Guest Post — Manifesto Time: Do You Need a Publishing Manifesto?
Does your publishing organization need a manifesto? Writing a manifesto for your organization can be a great exercise for team building and planning, and a way to ignite action.
Does your publishing organization need a manifesto? Writing a manifesto for your organization can be a great exercise for team building and planning, and a way to ignite action.
We’re finally seeing a move to truly digital-first publishing systems and in today’s post Alice Meadows interviews Liz Ferguson of Wiley about this transition, including their own Research Exchange platform.
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 author offers a progress report on recent efforts to build open-source technology for open access book metrics.
To kick off Peer Review Week, we asked the Chefs, What’s a bold experiment with AI in peer review you’d like to see tested?
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
Summing up the Committee on Publication Ethics (COPE) Forum discussion on Emerging AI Dilemmas in Scholarly Publishing, which explored the many challenges AI presents for the scholarly community.
As AI becomes a major consumer of research, scholarly publishing must evolve: from PDFs for people to structured, high-quality data for machines.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 2 of this 2 part post, we discuss recommendations for stakeholders to avoid unintended harms and preserve core scientific and academic values.
The MIT Press surveyed book authors on attitudes towards LLM training practices. In Part 1 of this 2 part post, we discuss the results: authors are not opposed to generative AI per se, but they are strongly opposed to unregulated, extractive practices and worry about the long-term impacts of unbridled generative AI development on the scholarly and scientific enterprise.
AI-generated recipes are taking over the internet. How do they taste?
If LLMs are the future of information discovery, valuable scholarly content risks being left behind — unless we build a bridge with better licensing.
While large international players showcase well-resourced compliance roadmaps toward accessibility compliance, many in the European publishing landscape are facing a more sobering reality: legal ambiguities, economic limits, and structural mismatches between regulatory goals and scholarly publishing practices.
Data sonification is the process of translating data into sound. Here, Lutz Bornmann and Christian Leibel present the sonified results of a recent analysis of the impact of scientific team size on innovation.
Industry pros offer a marketing manifesto of sorts, to help our non-marketing colleagues see behind the curtain and understand how to best leverage these critical team members.