Artificial intelligence is the future for all industries – including scholarly publishing, writes Darrell Gunter
Analysis & opinion
Andrew Barker and Elaine Sykes reflect on Lancaster University's shift to an open research culture
Dan Mayers, head of product development at OpenAthens, unveils the secrets to a first-class user experience
Resham Kotecha explains how the Open Data Institute responds to global challenges surrounding critical data infrastructures
Nandita Quaderi explains the important changes to the 2023 Journal Citation Reports release
Reporting from the PubCon event, Cait Cullen asks: is artificial intelligence a threat to integrity or the herald of new opportunities?
Lack of local investment limits the scope of research to whatever international actors decide, disenfranchising Africans, writes Ed Gerstner
"Optimising the UK’s university research infrastructure assets" brings together a range of perspectives, says Victoria Moody
Simon Epstein and Emma Watkins describe how a society publisher unlocked author insights and improved workflows
As the fuss over GPT-style technology continues, scientists are now fully aware that the future of research productivity will depend on Artificial Intelligence (AI). However, a different kind of AI, called extractive summarisation and based on natural language processing, will bring a much-needed time-saving tool to authors. Such a tool preserves the integrity of the evidence without ‘hallucinations’.
Tricia Miller and Andrea Lopez explain how the model benefits everyone in the scholarly community
Victoria Suslak explores the various choices that libraries have when acquiring content