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.
Read MoreA 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.
Read MoreHow 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.
Read MoreMost 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.
Read MoreWhile technology is often framed as a great equalizer, access to it remains deeply uneven. The gap is not just about who has Wi-Fi or a laptop. It is about who can fully participate in modern civic, economic, and social life. That is where libraries quietly, but powerfully, step in.
Read MoreDesigners shape far more than products or interfaces. They shape how people act, decide, and relate to the world around them. From recommendation systems to account settings, design quietly guides everyday behavior. Because of this, design is never neutral. It always carries ethical consequences, whether designers intend them or not. This article reworks selected ideas from the author’s research, Rethinking Design Ethics from the Perspective of Spinoza, for a general audience.
Read MoreAre you tired up of travelling across the country to various sites for data collection? Imagine having thousands of eager, geographically distributed volunteers ready to contribute to your research project, and what if these volunteers are people who are already engaged learners, information seekers, and capable of following standard data collection protocols. This resource exists right now in every university library across Sri Lanka.
Read MoreWith Artificial Intelligence’s (AI) seemingly increasing integration into various aspects of society, nations worldwide—including Tribal Nations—are assessing its impact on the changing landscape. AI is a revolutionary technology that poses potential opportunities and risks for federally recognized Indian Tribes (Tribal Nations or Tribes) and their citizens. This article provides an overview of the literature related to AI in a tribal context.
Read MoreAdvertisements are an integral part of our cultural heritage, and this extends to online web advertisements. Unlike print ads, web ads are dynamic and interactive, which makes them difficult to archive and replay (i.e., load archived web resources in a web browser) successfully . To explore these challenges, we created a dataset of 279 archived web ads. During this study, we identified five major problems with archiving and replaying web ads, which we discuss in detail in our article “Problems With Archiving and Replaying Current Web Advertisements”.
Read MoreArtificial Intelligence (AI) is reshaping nearly every corner of human life—from classrooms to hospitals and corporate offices. But what happens when it enters the house of worship? Can a machine deliver the word of God, or does this cross a sacred boundary? Our study, “AI in the House of God: Threat, Tool or Transformation?” (ASIS&T 2025), explores how people respond to AI-driven sermons and what this means for the future of faith and technology.
Read MoreBehind every “You May Also Like” video sits an algorithm — an invisible curator quietly shaping what we see and what we don’t. Most of us accept this invisible hand as usual. We know it’s there, even if we don’t fully understand it. But for older adults, those who first learned about the world through newspapers, radio, and television, the logic of these recommendations can be confusing.
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