Gates Policy Refresh: What Would Success Look Like?
While the BMGF may be all-in, from an industry perspective the Gates Policy Refresh represents a small but potentially valuable experiment.
While the BMGF may be all-in, from an industry perspective the Gates Policy Refresh represents a small but potentially valuable experiment.
Transitional agreements are proving to be neither transitional nor transformative. How should libraries and publishers reassess and chart a different course?
A classification scheme for open access business models.
Fraud is undermining the integrity of the scholarly record. United2Act is striking back at paper mills.
A data scientist reviews ScopusAI (beta) and shares her analysis of its limitations, reliability, and potential.
Open Café, a new listserv dedicated to the free and open discussion of open scholarship has been met with enthusiasm by the scholarly communication community.
Legislation often lags technological advances. The EU’s Digital Single Market Copyright Directive leaves many open questions regarding AI text- and data-mining.
In this post Robert Harington looks to Hannah Arendt, and her 1958 book, The Human Condition for help in understanding the nature of how we work, asking how an AI world may affect the nature of our work.
The scholarly publishing sector is undergoing its second digital transformation. Today, Ithaka S+R reviews this strategic landscape as part of a broader analysis of the shared infrastructure that supports scholarly communication.
As we strive for a more equitable and inclusive future, how can we foster the well-being and potential of every individual, regardless of their ethnic or racial background?
Three global society publishers respond to cOAlition S’s recent “Towards responsible publishing, a proposal from cOAlition S”.
Should the authors’ institution make decisions regarding authorship disputes on a paper?
Balancing the anxiety and the excitement over the use of Large Language Models (LLMs) in scholarly publishing.
Mary Miskin offers an interview with Prof. Dr. Liying Yang, Director of the Scientometrics and Research Assessment Unit at the National Science Library, Chinese Academy of Sciences, who manages the Early Warning List and the CAS Journal Ranking.
Academia has developed an amazing tree of knowledge which is arguably the most important data for Large Language Models to be trained on. Where does the scholarly communication community fit in?