Guest Post — Upholding the Integrity of Open Science
As preprints become an increasingly integral part of scholarly communication, can automated screening tools improve their reliability and preprint servers’ operational efficiency?
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.
In today’s Peer Review Week post we hear perspectives on innovation and technology in peer review from a diverse group of users from different countries and disciplines.
Peer review needs reform. AI systems can act as assistants, providing valuable feedback for both reviewers and editors.
Are there ways to use AI in the research workflow to speed up the peer review process — and, while we’re at it, to address some of the other problems around bias and quality?
AI-generated content has been discovered in prominent journals. Should peer reviewers be expected to find AI text in manuscripts? Where in the publication workflow should these checks be done?
Publishers should support scholarly authors by requiring license deals with AI developers include attribution in their outputs.
A look at how AI tools support transforming information access into information comprehension.
To learn about how Scopus AI works under the hood, we interview Elsevier Sr. VP of Analytics Products and Data Platform, Maxim Khan.
Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?