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10 October 2022
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European Classification of Skills/Competences, Qualifications and Occupations
Newsletter
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Follow us
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Highlights
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The Commission publishes an official ESCO-O*NET crosswalk!
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The Commission has published a crosswalk between ESCO and O*NET, the Occupational Information Network, developed by the U.S. Department of Labor/Employment and Training Administration (US DOL).
The purpose of this crosswalk is to support interoperability between the two labor market standards used by numerous public and private stakeholders that provide services like job matching, upskilling and reskilling and statistical analysis of the labour market.
Modern technologies like machine learning and natural language processing greatly reduce the amount of effort needed to map one classification to another and the ESCO team reveals its methodology to do this analysis and shares the results free of charge, as always!
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EURES Countries Mapping Tables are now available in the ESCO portal!
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According to Article 19 of the Regulation (EU) 2016/589 and for the purpose of automated matching through the EURES platform, European Commission called its Member States to map their national, regional and sectoral occupational classifications (NOCs) and skills classifications (NSCs) to and from the European classification of Skills/Competences, Qualifications and Occupations (ESCO).
Currently, 21 countries have mapped their national taxonomy to ESCO and 4 have directly adopted ESCO in their system (Greece, Iceland, Finland, Ireland).
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News
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Events
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ESCO use cases
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The Icelandic public employment service uses ESCO to improve their digital services
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A new testimonial from an ESCO implementer: the Icelandic Public employment service adopts ESCO at national level in their effort to modernise the digital services offered to their customers.
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Publications
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ESCO data science blog post: machine learning assisted mapping of multilingual occupational data
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The data science team explains in a new blog post the challenges to mapping multilingual occupational classifications to ESCO, drawing on representation learning techniques to support the maintenance of the classification. Based on synergies with EURES and Europass, the ESCO team uses an unified approach for mapping multilingual occupational classifications.
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