Today, Roger Schonfeld argues that there are scholarly communication priorities that merit focus beyond price, value, and openness and which require cross-sector collaboration.
Hélène Draux presents the first of a two-part effort to chart the topography of mental health scholarship. Here, established methods, including pre-existing classifications are employed.
AI’s potential for translation makes science fiction gadgets an increasingly likely reality. But how did English become the dominant global language, and just what do we mean by “English”?
A data scientist reviews ScopusAI (beta) and shares her analysis of its limitations, reliability, and potential.
In today’s Kitchen Essentials, Roger Schonfeld speaks with Kate Wittenberg and Karen Hanson of Portico, the community-supported preservation archive.
How can we measure the impact of research papers on influencing public policy? An interview with Euan Adie of Overton.
How can we optimize the peer review process, and what role should AI play?
In today’s Kitchen Essentials interview, Roger Schonfeld speaks with Sami Benchekroun, CEO of Morressier, which provides publishers with workflows that ensure research integrity.
In this post Robert Harington looks to Hannah Arendt, and her 1958 book, The Human Condition for help in understanding the nature of how we work, asking how an AI world may affect the nature of our work.
To celebrate the fifth anniversary of the Research Organization Registry (ROR), Alice Meadows interviewed Director Maria Gould for today’s Kitchen Essentials post.
AI might help with the deluge of content, but there are problems when we rely on machines to think for us.
In today’s Kitchen Essentials interview, Roger Schonfeld speaks with Stephanie Orphan, Program Director of arXiv, the e-print repository.
Today’s post puts the spotlight on the European Accessibility Act (EAA) directive and how different organizations are getting ready to make their publications and services EAA compliant.
ChatGPT has popularized generative AI, but interpretive AI has quietly remained in the shadows. Interpretive AI offers profound insights into content and audience engagement, a critical tool for publishers aiming to harness the full potential of AI.
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.