The Year in Review: 2024 in The Scholarly Kitchen
Before we plunge into 2025, a look back at 2024, a year of uncertainty in The Scholarly Kitchen.
Before we plunge into 2025, a look back at 2024, a year of uncertainty in The Scholarly Kitchen.
A focus on four rising technology trends and the challenges and opportunities they might bring to scholarly communications.
Generative AI agents have the possibility to make us more productive, but once trained, who will own and control it?
Robert Harington attempts to reveal inherent conflicts in our drive to be as open as possible, authors’ need to understand their rights, and a library’s mandate to provide their patrons with the enhanced discovery that comes with AI’s large language models (LLMs).
While Aretha Franklin’s “Chain of Fools” referred to betrayal of trust in love, when it comes to AI use of our work, writers feel betrayed by those who should be protecting our intellectual and creative property.
A diverse panel of researchers shared their first-hand publishing experiences at the 2024New Directions seminar.
As artificial intelligence begins to play an ever-bigger role in the scholarly publishing landscape, how might it help solve some of the biggest challenges facing publishers?
An interview with Wiley SVP Josh Jarrett about their work improving publishing processes with AI and licensing content for AI applications.
A new study from Ithaka S+R explores: How will generative AI transform scholarly communication and where will change be most rapid and revolutionary?
As preprints become an increasingly integral part of scholarly communication, can automated screening tools improve their reliability and preprint servers’ operational efficiency?
A new survey seeks to better understand the risks and benefits of GenAI in the discovery ecosystem.
We have developed a tool to track publisher deals to license scholarly content for use as training data by LLMs
AI offers great potential, but also raises significant concerns when it comes to its use in peer review. Experimentation with AI is needed to find the right role for it in the process.
Users (human and machine) are accessing scholarly content in new ways, challenging traditional usage analytics models. In this guest post, Tim Lloyd outlines the challenges ahead in quantifying usage.
The real challenge in implementing new peer review technologies lies in managing the human and organizational changes required to make these innovations stick. Three experts share their insights into how they are leading their teams through these transformative processes.