WISDOM: An AI-powered framework for emerging research detection using weak signal analysis and advanced topic modeling
Ashkan Ebadi, Alain Auger, Yvan Gauthier

TL;DR
WISDOM is an AI-driven framework that leverages weak signal analysis and advanced topic modeling to automatically detect and track emerging research trends across disciplines, improving over traditional bibliometric methods.
Contribution
This work introduces WISDOM, a novel automated framework combining weak signal analysis and advanced topic modeling for unbiased detection of emerging scientific topics.
Findings
Successfully identified emerging underwater sensing research trends from 2004 to 2021.
Outperformed traditional bibliometric methods in detecting interdisciplinary research signals.
Enhanced detection accuracy and objectivity in trend analysis.
Abstract
The landscape of science and technology is characterized by its dynamic and evolving nature, constantly reshaped by new discoveries, innovations, and paradigm shifts. Moreover, science is undergoing a remarkable shift towards increasing interdisciplinary collaboration, where the convergence of diverse fields fosters innovative solutions to complex problems. Detecting emerging scientific topics is paramount as it enables industries, policymakers, and innovators to adapt their strategies, investments, and regulations proactively. As the common approach for detecting emerging technologies, despite being useful, bibliometric analyses may suffer from oversimplification and/or misinterpretation of complex interdisciplinary trends. In addition, relying solely on domain experts to pinpoint emerging technologies from science and technology trends might restrict the ability to systematically…
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