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Big data and the complexity of labour market policies

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Regional and local labour market observatories reveal challenges in obtaining information about skilled labour demand in specific sectors. Recent ICT innovations have introduced new data forms that can enhance economic efficiency, yet the vast unstructured data available online—Big Data—remains largely untapped. Advances in technology now allow for cost-effective services that were previously too expensive. Utilizing Big Data for labour market monitoring can yield innovative insights into market dynamics. Additionally, process data from Public Employment Services and Statistical Offices present a promising source for large datasets. Analyzing these diverse data sources can improve overall labour market efficiency and enhance service provision by governments and private enterprises. However, the application of Big Data in labour market monitoring has been limited, despite increasing interest from researchers and practitioners. This highlights the urgent need to address the collection, analysis, and dissemination of online information, along with the ethical and legal concerns surrounding data ownership and protection. This year's anthology from the EN RLMM explores these topics through the perspectives of labour market researchers and practitioners across various European regions, offering initial insights into new models and tools for labour market monitoring leveraging Big Data.

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Big data and the complexity of labour market policies, Christa Larsen

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Année de publication
2015
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