AI and Scholarly Societies
Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
Robert Harington provides a template for scholarly societies wondering how to grapple with the overwhelming and omnipresent prospect of an AI future.
It’s that time of year again when the big science prizes are awarded. No, not those prizes.
What is the single most pressing issue for the future of peer review in scholarly publishing? In advance of Peer Review Week, we asked the Chefs.
How machines learn, as demonstrated by a pile of matchboxes playing tic-tac-toe.
The Curse of Knowledge is when we assume everyone else understands what we’re talking about, when they don’t. Good communication happens when we have the courage to make it simple.
Inequities are rife in the research process, starting with the pre-award process. Based on feedback and input from researchers, research managers, and others a new report looks at the challenges and makes recommendations for how funders and institutions can address them.
When the University of Michigan was forced to disconnect from the internet last week, it resulted in disruptions to several key services it provides to the broader research community, such as the University of Michigan Press, HathiTrust, and ICPSR. What can we learn from this experience?
Could the failure of a journal to visibly correct known errors in a publication, thereby propagating false information, be considered disinformation?
Was a recent Scholarly Kitchen piece analyzing the capabilities of ChatGPT a fair test? What happens if you run a similar test with an improved prompt on LLMs that are internet connected and up to date?
How does the shift to interdisciplinary research reshape the very foundation of how knowledge is generated and applied across various fields and what do the different stakeholders in academia need to do to balance the depth of specialized knowledge with the breadth of interdisciplinary understanding?
Studying the way we’ve studied the past is mutual work. Archivists and librarians, and scholars using their collections, have each been producing critical archives scholarship that too often remains within disciplinary and professional siloes.
New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
A world famous scientist and university president brought down by a student journalist’s investigative reporting. But the big story is how we fund and reward ethical research.
What are the burdens researchers face? And what can be done to lighten the load and make the academic environment more diverse, equitable, inclusive, safe, and welcoming?
An update on how generative AI has progressed and how it has been applied to research publishing processes since ChatGPT was released, looking at business, application, technology, and ethical aspects of generative AI.