Ask the Chefs: What is the Single Most Pressing Issue for the Future of Peer Review?
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.
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.
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
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.
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.
What uses for artificial intelligence (AI) might we expect outside of the publication workflow? Some answers to this question can be found through the lenses of sustainability, justice, and resilience.
To identify both benefits and risks of generative AI for our industry, we tested ChatGPT and Google Bard for authoring, for submission and reviews, for publishing, and for discovery and dissemination.
New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.
In this article, Minhaj Rain explores how human intelligence tasks (HITs) and not simply more AI tools could be the way forward as a reliable and scalable solution for maintaining research integrity within the scholarly record.
Revisiting a post from 2019 in light of the acquisition of protocols.io by Springer Nature. As community-owned and -led efforts to build scholarly communications infrastructure gain momentum, what can be done to help them achieve long term sustainability?
Last January we wrote a group post about “Twexit” and with the launch of Threads we wondered how the Chefs were feeling about the emerging and existing social media options.
How can we provide both leadership and accountability across the publishing ecosystem toward the Sustainable Development Goals?
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.
This year, Ithaka S+R is examining the shared infrastructure for scholarly communication and will ultimately make recommendations for its future. This week, we issued a draft of our project report. Please share your comments, suggestions, and other feedback by the end of August.