The Scholarly Kitchen

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Archives: Technology

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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

  • By Joe Pold
  • Sep 26, 2023
  • 0 Comments

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.

  • By Charlie Rapple
  • Sep 15, 2023
  • 0 Comments

Publishers, Don’t Use AI Detection Tools!

The challenges offered by artificial intelligence require a different approach than that seen for plagiarism detection.

  • By Avi Staiman
  • Sep 14, 2023
  • 5 Comments

Shared Infrastructure and the Recent Downtime at the University of Michigan

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?

  • By Roger C. Schonfeld
  • Sep 7, 2023
  • 3 Comments

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?

  • By Dustin Smith
  • Aug 30, 2023
  • 6 Comments

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.

  • By Haseeb Irfanullah
  • Aug 23, 2023
  • 5 Comments

Generative AI, ChatGPT, and Google Bard: Evaluating the Impact and Opportunities for Scholarly Publishing

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.

  • By Hong Zhou
  • Aug 17, 2023
  • 9 Comments

Web-scale Institutional Search: What are Publishers Doing Today?

Twelve years after the Open Discovery Initiative (ODI) launched, I wonder: How are scholarly content providers leveraging ODI conformance statements to drive transparency and usage via web-scale library discovery services?

  • By Lettie Y. Conrad
  • Aug 16, 2023
  • 2 Comments

Guest Post — Digital Humanities, Data Literacy Skills and AI: Understanding the Way Things Work

New data literacy and artificial literacy standards are necessary and emerging. The workflows and iterative mindsets the Digital Humanities can help inform our approaches.

  • By Jess Ludwig
  • Aug 10, 2023
  • 3 Comments

Will Building LLMs Become the New Revenue Driver for Academic Publishing?

Are scholarly publishers primed to become the critical content suppliers for the big Generative AI companies?

  • By Avi Staiman
  • Aug 8, 2023
  • 6 Comments

Guest Post — Are HIT-backed AI Research Integrity Solutions the Need of the Hour?

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.

  • By Minhaj Rais
  • Aug 3, 2023
  • 1 Comment

The Intelligence Revolution: What’s Happening and What’s to Come in Generative AI

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.

  • By Hong Zhou
  • Jul 20, 2023
  • 8 Comments

Shared Infrastructure for Scholarly Communication: A Draft Report for Comment

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.

  • By Tracy Bergstrom, Oya Y. Rieger, Roger C. Schonfeld
  • Jul 19, 2023
  • 3 Comments

Finally Some Positive AI News: Elvis Meets Sir Mix-a-Lot

The AI takeover isn’t all doom and gloom. Finally, a long running musical question can be answered.

  • By David Crotty
  • Jul 14, 2023
  • 5 Comments

Revisiting: Who Has All The Content?

Revisiting a post from 2017: Several services aim to gather all publications comprehensively. Who has all the content?

  • By Roger C. Schonfeld
  • Jul 13, 2023
  • 2 Comments
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  • Embedding DEIA in Peer Review Processes: An Interview with SSP’s DEIA Outreach Subcommittee about their Upcoming Toolkit
  • How Does Mandated Code-sharing Change Peer Review? An Interview with PLOS Computational Biology
  • Reflections on Peer Review and the Humane Future of Publishing

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7 Sep

"As we move beyond principle, we face tradeoffs in allocating resources." U Michigan was forced to disconnect from the internet last week, disrupting several key services it provides to the broader research community. What can we learn? via @rschon

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ithakasr Ithaka S+R @ithakasr ·
8 Sep

For @scholarlykitchn, @rschon reflects on the importance and limitations of academy-owned shared infrastructure for #ScholarlyCommunication in light of the recent disruption of key services at the University of Michigan.

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The mission of the Society for Scholarly Publishing (SSP) is to advance scholarly publishing and communication, and the professional development of its members through education, collaboration, and networking. SSP established The Scholarly Kitchen blog in February 2008 to keep SSP members and interested parties aware of new developments in publishing.

The Scholarly Kitchen is a moderated and independent blog. Opinions on The Scholarly Kitchen are those of the authors. They are not necessarily those held by the Society for Scholarly Publishing nor by their respective employers.

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