Guest Post — May the AI Be With Science
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
AI has opened a new chapter in the saga of science and peer review. Today, guest author Prof. Nihar B. Shah explains how, if guided with integrity, AI can open galaxies of possibilities.
Today, we talk to thought leaders Helen King and Chris Leonard, who offer a nuanced look at how peer review might adapt, fracture, or reinvent itself in the AI era.
The future of peer review isn’t about choosing between humans and AI, or between speed and quality, but about combining the strengths of both to enable speed with quality, to ensure quality, ethics, and trust in the scholarly record.
Peer Review Quality Ratings could offer a powerful step toward restoring faith in the scholarly research system, highlight exemplary practices, and ensure that robust, verified science continues to illuminate the path forward for humanity.
Today’s post discusses research metrics and their relationship to research integrity, inclusivity, and long-term impact.
Today’s guest post by Deja Forte declares: Publishing isn’t just about systems and standards; it’s about people. Each of us has the power to build bridges between knowledge and the lives it’s meant to benefit.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
This post explores author, reviewer, and publisher ethics and responsibilities related to the use of AI in coding and publishing research software.
Today’s guest authors offer practical tips for publishing high-quality image descriptions, a key step toward ensuring genuine accessibility in scholarly communications.
In an era of information abundance and epistemic chaos, libraries serve as crucial sites for democratic knowledge practices — protecting them is critical to preserving the infrastructure of informed citizenship itself.
Catching up with the ongoing consolidation of the journals market — what has happened in the two years since this was last examined? And how does the market look if you add in a large number of relatively newly launched journals?
A scholarly communication ecosystem that relies on voluntary support rather than charging for access to content becomes radically less capable of keeping money in the system.
What happens when AI-infused information systems increasingly provide answers rather than directing people to sources?
FAIR represents the best opportunity of the models under consideration to ensure that research information services receive appropriate recognition and sustainable funding
Today, guest blogger, Priyanka Gupta, shares the story of her career journey from academia to editorial leadership.