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.
AI might help with the deluge of content, but there are problems when we rely on machines to think for us.
As we strive for a more equitable and inclusive future, how can we foster the well-being and potential of every individual, regardless of their ethnic or racial background?
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
Are there enough reviewers though to meet demand and is the peer review process efficient enough to handle the sheer volume of papers being published? How can a combination of human expertise and AI make the peer review process more efficient?
Our week of posts celebrating Peer Review Week 2023 continues with an interview with Shaina Lange and Sue Harris of SSP’s DEIA Committee Outreach Subcommittee, about their work on a soon-to-be-published toolkit to build DEIA in peer review processes and editorial roles
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.
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.
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.
We invite you to participate in the 2023 Workplace Equity Survey. What has changed since the last (2018) Survey? Is DEIA still a priority, or are we seeing organizations take a step back?
Data quality and record keeping are going to grow in importance as a result of AI applications.
It’s conference season in scholarly communications. Between them, the Scholarly Kitchen Chefs have been / will be at 9 events around the world in the 6 week stretch from early April to mid May. In a series of “Smorgasbord” posts, Chefs will share some of the key themes emerging for our sector. This week: Charlie Rapple reports from EARMA, Roy Kaufman from the London Book Fair, and David Crotty from STM.
The Data Hazards project looks at the problems in applying traditional ethical values to research that uses machine learning and artificial intelligence.