Kitchen Essentials: An Interview with Chris Shillum of ORCID
In today’s Kitchen Essentials interview, Alice Meadows asks Chris Shillum, Executive DIrector of ORCID, to share his thoughts about his career in research infrastructure
Guest Post: Introducing SSP’s AI in Scholarly Publishing Community of Interest (CoIN)
Introducing the AI in Scholarly Publishing Community of Interest (CoIN), the SSP’s latest offering to all its members to explore and engage in all matters AI as they relate to scholarly publishing.
Guest Post — Food for Thought: What Are We Feeding LLMs, and How Will this Impact Humanity?
Academia has developed an amazing tree of knowledge which is arguably the most important data for Large Language Models to be trained on. Where does the scholarly communication community fit in?
Approaching Artificial Intelligence and Open Research in Sync: Opportunities and Challenges
Separately, both open research and AI are considered disrupters, causes of disorder in the normal continuance of scholarly publishing. But approaching them in a synchronized way can offer more productivity gains and efficiencies than taking them on individually.
Introducing Kitchen Essentials — Interviews with the Scholarly Infrastructure Community
Today, Alice Meadows and Roger Schonfeld introduce a new interview series – Kitchen Essentials – featuring leaders of some of the key scholarly infrastructure organizations globally.
This Year’s Nikon Small World in Motion Video Microscopy Winners
Some beautiful winners in this year’s Nikon Small World in Motion video microscopy competition.
Worth the Time? A Critical Look at the Value of Twitter for Journals
With yet another stumble from Twitter/X, Angela Cochran looks at the numbers and asks whether all the efforts journals have put into building and maintaining journal Twitter accounts have been worth it.
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.
GPT, Large Language Models, and the Trough of Disillusionment
In 2023, AI has been back in the news in a big way. Large Language Models and ChatGPT threatened our’s and many other industries with huge disruption. As with so many threatened techno-shocks, a large degree of this one was hype, but what will happen after the hype fades. What, if anything, will be the lasting legacy of ChatGPT?
Ending Human-Dependent Peer Review
Human-dependent peer review is inequitable, suffers from injustice, and is potentially unsustainable. Here’s why we should replace it (eventually) with AI-based peer review.
How Does Mandated Code-sharing Change Peer Review? An Interview with PLOS Computational Biology
In today’s Peer Review Week guest post, Joe Pold of PLOS interviews the senior editorial team of PLOS Computational Biology about their experience of mandating code sharing for the journal, and its impact on peer review
The Best Explanation I’ve Seen for How Machine Learning Works
How machines learn, as demonstrated by a pile of matchboxes playing tic-tac-toe.
Publishers, Don’t Use AI Detection Tools!
The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.
Guest Post – Was ChatGPT Set Up to Fail? Choosing the Right Tools and the Right Prompts is Essential for LLM Discovery
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?
AI Beyond the Publishing Workflow
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.