The Covid-19 epidemic has profoundly changed the global economy and society, bringing all individuals and organizations into the VUCA era—an era of Volatility, Uncertainty, Complexity, and Ambiguity.
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Information Science Road Trip takes sightseers on a panoramic journey through 10 “big ideas” of Information Science.
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Have you ever wondered how Google helps you complete your search query by suggesting the next terms of your query? Large Language Models (LLMs) power this feature. But LLMs go beyond that feature. Today, LLMs are used in building AI systems and applications ranging from recognizing speech to writing poetry. They have become very powerful, but there are also pitfalls.
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How transparent are universities about mental health resources and student privacy relative to Title IX? What are best practices for information dissemination relative to these resources? What should students know about privacy, transparency, and mental health relative to Title IX?
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In a recent paper published in Computers in Human Behaviour, we explored user engagement and disengagement, uncovering common misconceptions.
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A well-liked (👍) video on Carol Kuhlthau’s Information Search Process just passed 1,000 views in 8 months, making it a rising star on INFIDEOS.
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How can doctoral students make theoretical and conceptual contributions to the literature of Information Science, which is especially competitive at the highest philosophical levels?
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In this episode of InfoFire—the fireside chat series from Information Matters—a conversation with Gio Wiederhold, professor emeritus of computer science, electrical engineering, and medicine at Stanford University on “Different Flavors of AI.”
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Listen to this episode of the fireside chat series, InfoFire by Information Matters, with Professor Mike Eisenberg, dean emeritus, University of Washington Information School.
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What Makes This Paper Great?, goes much deeper into the Information Science literature and lingers upon landmark papers.
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