Researchers Debate on Water Discipline(s)
A lively discussion developed in library and information science (LIS) from an article by Claudio Gnoli, Richard Smiraglia and Rick Szostak, already summarized in Information Matters.
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A lively discussion developed in library and information science (LIS) from an article by Claudio Gnoli, Richard Smiraglia and Rick Szostak, already summarized in Information Matters.
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The rapid development of digital technologies is reshaping humanities research and the preservation of cultural heritage worldwide. In response to these transformations, the book series Digital Humanities and Intelligent Computing has been initiated by the Intelligent Computing Laboratory for Cultural Heritage (ICLCH) at Wuhan University, originating from the Centre for Digital Humanities at the same institution, and is under contract with Routledge. The series is designed to provide a comprehensive global perspective on the latest advancements and trends in digital humanities (DH) and intelligent computing for cultural heritage, and to promote cross-cultural dialogue, knowledge exchange, and interdisciplinary collaboration.
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Open Access (OA) publishing has become a major change in how research is shared. In traditional publishing, readers pay to access articles through journal subscriptions. In OA, articles are free to read online right away. This trend has grown fast because many believe it makes science better and fairer. Supporters say OA articles get more citations because more people can read them, leading to greater impact. However, authors often pay high Article Processing Charges (APCs) to publish in OA journals. This creates a debate: Does OA truly boost research impact, or does it create new problems by charging authors large fees?
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How do Information Science researchers describe their use of qualitative methods? What do they say about their approach to different steps in the research process such as dates of data collection, people involved in the research process, and whether they’ve obtained ethics board approval for their work? What information gets left out? These questions lie at the heart of ongoing conversations around trust in research and the reusability of research data across the academic landscape.
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Most of us now work alongside artificial intelligence (AI), whether we think of it that way or not, and whether our organizations have formally announced or addressed it. Productivity applications such as e-mail or word processing now suggest what to write, how to address tone, and can recommend next steps and summarize a document. The convenience of AI is immediately apparent, but the risk can run deep without ethical guidance and sound human judgment.
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Each holiday season, INFIDEOS, my YouTube channel of educational videos, gives a gift to Information Science. This season’s treat arrives a little late but is nonetheless from the heart. As explained in a short video announcement, the 2026 present is: Encouragement!
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From Page to Stage: Grand Finale was held on Friday, 23 January 2026, at the Multi-Purpose Building of the Faculty of Engineering, University of Moratuwa, as part of the Pre-Academic Term (PAT) programme. The event transformed a technical academic space into a living stage where stories, emotions, and student voices took centre place, showing how literature can shape confidence, empathy, and communication alongside formal academic learning.
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Have you ever been excited to learn something new, but when you started reading about it, you felt completely lost and ended up setting it aside? A large volume of knowledge production is carried out by researchers, who typically convey it using the specialized language of their subject field. This often includes specialized terminology and expressions, acronyms or other abbreviated forms, stylistic conventions, and even particular ways of structuring or formatting a text. The end result is comprehensible to other researchers in the same subject field, but it may be far less accessible to other groups.
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We must remember that those who profit the most from our growing reliance of GenAI are the tech companies themselves. Meanwhile, the people who are the most excited about AI are the ones who understand it the least. While machine learning can be useful, I argue that GenAI comes at an unacceptable cost. Taking in to consideration GenAI’s role in the spread of disinformation, the complex damages caused to people and the planet along with the proven negative effect to cognitive skills among users, this text advocates for critical perspectives, and ideally, critical refusal of GenAI.
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The path to earning a Doctor of Philosophy (PhD) or Master of Philosophy (MPhil) degree in Nigerian universities is a carefully structured journey, marked by a series of academic milestones that ensure students are thoroughly prepared for independent research and academic excellence.
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