Bibliometrics

InfoFire

LLMs, AI, and the Future of Research Evaluation: A Conversation with Mike Thelwall on Informetrics and Research Impact

In this episode of InfoFire, I sit down with Professor Mike Thelwall, a well accomplished scholar of Informetrics, to explore the intersections of Large Language Models (LLMs) and research evaluation. We delve into how LLMs are reshaping the landscape of research assessment, examining the promises they hold and the challenges they present in ensuring fair, meaningful, and context-aware evaluations.

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FeaturedTranslation

Information Science Breaking up?

Many would agree that the institutional library/information service R&D, information seeking, information retrieval, and biblio/infor/scientometrics form the landscape of Library and Information Science (LIS). These subareas are also brought forward in introductions to, and analyses of LIS (e.g., curricula, lectures, textbooks). Still, scholars contributing to different subareas may increasingly turn their attention toward the territory outside LIS – and be integrated there – or remain as visitors to LIS, being based outside. Are there indications toward that in LIS research? We decided to analyze the trends.

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