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Knowledge4Policy
KNOWLEDGE FOR POLICY

Competence Centre on Text Mining and Analysis

We use text mining and analysis tools to extract information from online data, including traditional or social media, or from large public or proprietary document sets.

 

Trends
(© WrightStudio)

This project aims at developing new methods and tools for detecting variations in large datasets. For example, the methods applied to scientific publications databases allow to detect new technologies or scientific developments in their very early stage of developments. Applied to patents databases, the same methods allow to detect new emerging technologies that are approaching the market. 

TIM Trends is a tool for internal use by TIM analysts but on-demand analysis or data can also be provided.

Our trend analysis reports are published every year since 2019.

 

This report presents a list of 75 individual weak signals in science and technology development in 2020. In addition, 4 clusters of weak signals have also been detected and are reported. These early signs of emerging technologies or products were detected using text mining, clustering techniques and scientometrics indicators applied on a corpus of peer-reviewed scientific publications.

A dashboard is at the disposal of the reader to further explore the weak signals:

https://www.timanalytics.eu/TimTechPublic/dashboard/index.jsp#/space/s_1597?ds=126842

Weak signals in Science and Technologies - Weak signals in 2020 Technologies
English
(13.01 MB - pdf)
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Weak signals 2020 report cover

JRC has developed a quantitative methodology to detect very early signs of emerging technologies, so called 'weak signals of technology development'. Using text mining and scientometrics indicators, 257 of these weak signals have been identified on the basis of scientific literature and are reported in the present report.

JRC has developed a quantitative methodology to detect very early signs of emerging technologies, so called 'weak signals of technology development'. Using text mining and scientometric indicators, 256 of these weak signals have been identified on the basis of scientific literature and have been reported earlier this year in a JRC technical report. The purpose of this follow-up report is to provide a European perspective and to provide recommendations for policy makers. Europe shows vulnerabilities in 179 of these weak signals, further analysed in the present report.

 Weak signals in Science and Technologies 2019: Analysis and recommendations

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