In the latest episode of Eurostat’s Stats in a Wrap podcast, we introduce the Web Intelligence Hub. This is a project dedicated to building a statistical infrastructure that helps use web content appropriately to produce official statistics.
Our host Jonathan Elliott is joined by Eurostat’s Fernando Reis, statistical officer for new data sources for official statistics; Mátyás Mészáros, methodological expert in charge of the Web Intelligence Hub and online job advertisements; Vladimir Kvetan, a skills and labour market expert at the European Centre for the Development of Vocational Training (Cedefop); and Jacek Maślankowski, assistant professor at the University of Gdańsk and consultant for Statistics Poland.
In this episode, the guests recall how the project started 10 years ago when Eurostat created an internal task force dedicated to big data and new data sources. This led to collaboration with national statistical authorities and Cedefop. Together, they researched online job advertisements, multinational enterprises and online based enterprises characteristics.
With millions of job postings from 500 websites, the project aims to define common methods and quality standards, ensuring comparability across countries. To achieve this, artificial intelligence and machine learning are used to extract data from the web.
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