“The aim of the SCOLIA (SChOLarly Information Access) workshop, following the successful BIR workshop series, is to bring together researchers and practitioners from Information Retrieval (IR), Natural Language Processing (NLP), and Scientometrics/Bibliometrics who are working on the analysis of scientific/scholarly documents.”

about the changing meaning of “responsible” internationalisation in higher education, research and innovation, in EU policy and elsewhere, from a means to address global societal challenges toward prioritising national security and economic competitiveness

Rossella Arcucci, leading the Data Learning Group at Imperial College London, in her post about this paper on LinkedIn, January 2025: “The first paper published in 2025 by the Data Learming group is a service to the growing community of data scientists who face (and mitigate) challenges when working with real-world data. For the data to be considered high quality, it must be: an Accurate reflection of the real world scenario, comprehensively Complete information, from a Reliable source, containing Relevant information and temporally relevant in it’s Timeliness. This usually happens only in our dreams!!! In reality… it is vital that methods which mitigate these shortfalls are further developed and implemented to alleviate the effects of data deficiencies. This paper aims to serve as a guide for data scientists looking to identify, understand and mitigate the problems they may encounter as a result of using real world data.“

“The paper highlights the central themes of self-organization, emergence, and the interplay between physical, informational, and biological processes” and “situates life as an emergent phenomenon shaped by interactions across scales, proposing a unified framework for understanding complexity in the natural world.” (Gordana Dodig-Crnkovic, preprint, November 25, 2024)