In this episode of InfoFire, Shalini Urs is in conversation with Desh Deshpande about a wide range of topics centered on entrepreneurship, innovation, and social change.
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Librarians are the polymaths of this century. They are voracious readers, consuming information from all fields. As information gatekeepers, their engagement in knowledge classification, cataloging, and organization grants them a birthright to know more than others. Librarians help create all professions, but no other profession creates librarians. This is a unique quality that makes librarians stand out and excel among other fields. The secret lies in the fact that librarians never take a break from research.
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In mid-December of each year, my YouTube channel, INFIDEOS, gives a gift to its subscribers and viewers. These multimedia creations are freely available to everyone in Information Science and are especially suited for students of the field.
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AI is playing an increasingly larger part in our lives and the world around us. By some projections, we will have AGI, or Artificial General Intelligence, in less than a decade. Some are even arguing we are already there. Regardless of this timeline, it is clear that AI unchecked has potentials to cause great harms. Can we control or contain AI such that we can stop those harms? It’s not easy.
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In recent years, the growing demand for modeling complex systems has brought heterogeneous graph neural networks (HGNNs) into the spotlight. However, existing methods often suffer from fixed inference processes and spurious correlations, limiting their interpretability and generalization ability. To address these challenges, this study proposes a novel heterogeneous graph learning framework that simulates human perception and decision-making processes, enhancing both predictive performance and interpretability.
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Religious cults represent the worst form of marginalization. Libraries must help people avoid falling into the trap of cults by informing them. Otherwise, it becomes almost impossible to return cult members to normal life, and even if a person leaves a cult after several decades, the effects of living in a closed system will keep them marginalized forever.
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These days, everything from the every day choices we make to major scientific discoveries is increasingly relying on data. But how often do we stop and ask: Can we trust this data? How was it created? Who has changed it and how? Why should—or should not—we rely on it?
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This translation of the authors’ recent ARIST review, “Sociotechnical Governance of Misinformation,” highlights the urgency and importance of empirical research on misinformation governance to inform decision-making and policy-making in support of a healthier information environment.
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Super-partnerships exist between scholars connected within densely-knit collaboration networks. Understanding how such relationships affect scholars’ careers is of great importance. In this paper, focusing on the longitudinal aspects of scientific collaboration, we analyze collaboration profiles from the egocentric perspective and use analytic extreme value thresholds to identify super-partners. We explore the characteristics of super-partners and the added value of a long-term commitment, which provides quantitative insights into the effect on scientific collaboration associated with close collaboration.
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During the current moment, as generative AI dominates our thinking, both for its extraordinary performance and serious flaws, a new direction is needed. The way forward may involve looking backward. The addressing the deficiencies of generative AI would benefit from reviewing, and incorporating, some of the lessons from expert system development during the late 20th century.
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