Scholarly Society Sustainability in an Unstable Publishing World: Reasons to be Cheerful, Parts 1, 2, and 3.
In this post, Robert attempts to embrace a gloomy optimism as he muses on the state of publishing at scholarly societies.
In this post, Robert attempts to embrace a gloomy optimism as he muses on the state of publishing at scholarly societies.
As AI-driven search reduces friction in information-seeking, what happens to serendipity, frustration, and “night science”?
Today’s guest bloggers spotlight a gap in traditional usage reporting, third-party AI usage, and recommend steps needed to recover missing usage data.
AI is presenting new challenges while also giving us tools to innovate in ways. The most successful publishers will be those willing to challenge the status quo.
As the search and user behavior landscapes undergo dramatic evolutions, marketers and others are left to wonder what SEO means for publishers now.
After five years of GetFTR, four librarians discuss how it is working in practice, its value to libraries and researchers, and what opportunities lie ahead.
Nearly three years after ChatGPT’s debut, generative AI continues to reshape scholarly publishing. The sector has moved from experimentation toward integration, with advances in ethical writing tools, AI-driven discovery, summarization, and automated peer review. While workflows are becoming more efficient, the long-term impact on research creation and evaluation remains uncertain.
NISO’s Open Discovery Initiative (ODI) survey reflects the positive and negative expectations of generative AI in web-scale discovery tools.
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.
If LLMs are the future of information discovery, valuable scholarly content risks being left behind — unless we build a bridge with better licensing.
Roger Schonfeld reflects on lessons from more than 20 years conducting research and supporting the work of libraries, publishers, and the research enterprise.
AI-assisted search is here, and librarians need to have an honest discussion about how to integrate this new technology into library services. This post explores the parallels to the introduction of discovery layers and how to overcome some of the discomfort librarians might have with retrieval-augmented generation.
Providers of library discovery services reflect on the impact and value of NISO’s Open Discovery Initiative.
How is generative AI moving us towards conversational discovery and what does this mean for publishing and future trends in information discovery?
When do we stop making the effort to find new music?