Copyright, GenAI, and the future of academic publishing

Generative artificial intelligence poses significant challenges to copyright law and the principles of open science. In a new preprint, I study this complex interplay and existing regulatory frameworks. This blog post provides an overview of my central findings.

Dmitry Kochetkov • December 04, 2025

The withdrawal of the US from UNESCO: What does this mean for Open Science?

The withdrawal of the US from UNESCO and US legislation being increasingly at odds with Open Science values raises concerns regarding Open Science infrastructure in the US. While much is still unclear, our authors argue that the implications for Open Science could be profound.

Louise Bezuidenhout and Jon Verriet • November 05, 2025

The CWTS Leiden Ranking 2025 - More open, more inclusive, more informative

The release of the CWTS Leiden Ranking 2025 marks a next step toward more open and more inclusive research analytics for universities. This post highlights the most significant developments.

Nees Jan van Eck, Rodrigo Costas, Mark Neijssel, Ed Noyons, Martijn Visser and Ludo Waltman • October 29, 2025

Balancing opportunity and risk: rethinking China Scholarship Council programmes amid geopolitical tensions

Amid international concerns over the China Scholarship Council (CSC), especially regarding academic freedom and sensitive knowledge transfer, our study analyses CSC-funded research (2009–2021) to reveal key trends, collaborations, and broader implications.

Qianqian Xie and Alfredo Yegros • October 23, 2025

Crossref as a source of open bibliographic metadata for preprints

Crossref is a crucial source of open bibliographic metadata for articles published in scientific journals. Importantly, however, Crossref can also serve as a source of bibliographic metadata for preprints. In this post, Van Eck and Waltman analyze the completeness of Crossref’s preprint metadata.

Nees Jan van Eck and Ludo Waltman • October 16, 2025

Why AI transparency is not enough

Recently, a taxonomy to disclose the use of generative AI (genAI) in research outputs was presented as an approach that creates transparency and thereby supports responsible genAI use. In this post we argue that such an approach conceals fundamental ethical considerations around research integrity.

Andrea Reyes Elizondo and Peter Tarras • October 15, 2025 • 1 comment

GAIDeT: a practical taxonomy for declaring AI use in research and publishing

Transparency of AI use in academia matters for authors, editors, reviewers, readers and repository moderators. This blog post introduces GAIDeT, a taxonomy for the structured disclosure of Generative AI (GAI) use in research and how it builds trust without adding any extra burden to stakeholders.

Serhii Nazarovets, Natalia Tsybuliak, Jaime A. Teixeira da Silva and Yana Suchikova • August 25, 2025

Academic publishing – stuck in a prisoner’s dilemma?

Facing pressures to stay competitive, researchers publish ever more, often at the cost of quality. Our author shows how this strategic trap can be compared to a prisoner’s dilemma, explains how this situation is exacerbated by predatory journals, and outlines possible solutions.

Sagartirtha Chakraborty • August 14, 2025 • 4 comments

Making bibliometric reporting more transparent and consistent: Participants needed for pilot testing of GLOBAL

The team behind the GLOBAL reporting guideline invites researchers who are preparing or reviewing a bibliometric article to take part in a pilot test of the guideline.

Jeremy Y. Ng, Dimity Stephen, David Moher, Ludo Waltman and Stefanie Haustein • August 12, 2025

The drain of science: a call for action and the bridges we burned