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ref 2021 predictions project full details

Champion: Petr Knoth
Professor of Data Science Email Icon Website Icon RDF Icon
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Participant(s):David Pride (PhD. candidate), Zdenek Zdrahal, Suchetha Nambanoor-Kunnath

Timeline:01 Jan 2017 - 01 Jan 2021


REF 2021 Predictions

Web-scale research analytics for identifying high performance and trends: data-driven approaches to Scientometrics.

Over the recent years, there has been a growing interest in developing new scientometric measures that go beyond the traditional citation-­‐based bibliometric measures. This interest is motivated on one side by the wider availability or even emergence of new information evidencing research performance, such as article downloads, views, and twitter mentions, and on the other side by the continued frustrations and problems surrounding the application of citation-­based metrics to evaluate research performance in practice.

The research looks into new ways of utilizing full-­texts of research papers to evaluate research impact at the granularity of individual papers, researchers as well as institutions. It will consider the evolution of evidence influencing research metrics in time and the emergence of new trends and new research communities as valuable signals.

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Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

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Knowledge Media Institute (KMi)
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The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University, Milton Keynes campus. The role...


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