Megatrend and Intervention Impact Analyser for Jobs: A European Big Data Hackathon Entry
Rain Opik, Toomas Kirt, Innar Liiv

TL;DR
This paper introduces a method and prototype for analyzing and visualizing European labour market patterns, incorporating external megatrends and interventions, exemplified by automation and computerization impacts.
Contribution
It develops a novel approach to represent labour market structures via occupation-based skill sharing and integrates external trend analysis into the visualization tool.
Findings
The prototype effectively visualizes labour market vulnerabilities to megatrends.
The method enables layered analysis of external impacts on employment sectors.
Open source code enhances reproducibility and further research.
Abstract
This paper presents results of a European Big Data Hackathon entry to facilitate data analysis and visualization of patterns in provided and external datasets about European jobs and skills mismatch and labour market in general. The main contributions of this work are: the development of a method to represent the complex labour market internal structure from the perspective of occupations sharing skills; developing and presenting the prototype, together with an extended description of constructing a graph and related necessary data processing. Since labour market is not an isolated phenomenon and is constantly impacted with external trends and interventions, the presented tool is designed to enable adding extra layers of external information: what is the impact of a megatrend or an intervention to the labour market? Which parts of labour market of what country is most vulnerable to…
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Taxonomy
TopicsBiomedical and Engineering Education
