Interlinkages for a megatrend on accelerating technological change and hyperconnectivity
A text-mining assisted approach
This report aims at contributing to interdisciplinarity and policy-anticipation capacity in the JRC. It proposes, pilots and documents a novel approach to explore and visualise interlinkages in megatrends. Thereby it helps identify probable and preferable futures, and reflect on the future in a systemic way.
To identify interlinkages in the megatrend ‘Accelerating Technological Change and Hyperconnectivity’, the authors developed and piloted an approach to text-mine and analyse a catalogue of 712 phenomena and their descriptions from Futures Platform. They applied this approach to four themes identified during an expert workshop.
In this report, phenomena refer to all signals including emerging or weak signals but also more established trends (micro- and macro-trends). Topic refers to a group of phenomena within a theme.
The approach developed by the authors can potentially be expanded to a broader range of interlinkages (e.g. between megatrends), or targeted more in-depth at other specific themes. It is also potentially adaptable to data sources other than Futures Platform. Collaboration is on-going towards integrating the authors’ approach with Tools for Innovation Monitoring (TIM) for text mining and network visualisation.
The focus of this report is on describing and illustrating the approach developed by the authors for detecting, describing and visualising interlinkages. This, in turn, can provide a basis for policy analysts to systematically examine, substantiate and integrate interlinkages into their analyses.
MARMIER Alain;
MUNOZ-PINEIRO Maria Amalia;
BOELMAN Elisa;
HRISTOVA Mayya;
VETERE ARELLANO Ana Lisa;
TSAKALIDIS Anastasios;
BOELMAN Elisa;
2022-04-27
Publications Office of the European Union
JRC126570
978-92-76-50114-5 (online),
1831-9424 (online),
EUR 31034 EN,
OP KJ-NA-31034-EN-N (online),
https://publications.jrc.ec.europa.eu/repository/handle/JRC126570,
10.2760/555338 (online),
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