Innovation and Technology in Peer Review: Some User Perspectives
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.
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?
Antitrust litigation has been filed against six major scholarly publishers. We reached out to the community for their thoughts.
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?
In today’s Kitchen Essentials interview, Alice Meadows talks to Brian Cody, CEO of Scholastica, a provider of software solutions for scholarly organizations — of all types — that publish journals.
What are the new directions in scholarly publishing? Check out the unique “reverse roundtable” discussions at SSP’s New Directions seminar!
We’re delighted to reveal the eagerly awaited theme for this year’s Peer Review Week, Innovation and Technology in Peer Review.
An update on progress from the STM Research Integrity Hub.
Robert Harington discusses the value of preprints, the importance of peer review, research integrity and openness.
As scholarly journal editorial practices are the subject of growing scrutiny, publishers should explore “quality signals” systemically derived from researcher identity and metadata associated with identity.
How can we optimize the peer review process, and what role should AI play?
Three global society publishers respond to cOAlition S’s recent “Towards responsible publishing, a proposal from cOAlition S”.
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
Generative AI wants to make information cheap, but will people want to read it? Are we ready for more productive writers?