Cedefop, together with the Bulgarian Presidency of the Council of the EU organised the 5th Cedefop Brussels-based seminar. These seminars, organised in cooperation with the rotating EU-Presidencies, build on Cedefop research and analyses and address issues relevant to European debates on vocational education and training (VET) and employment.
To which extent can integrated labour market and skills information systems, namely systems and processes collecting, analysing and disseminating a wide range of data on skill mismatches to multiple actors (e.g. policymakers, social partners, VET providers, guidance counsellors, citizens), inform VET and employment policies in EU Member States? What are the opportunities and challenges or new data analytical instruments, reliant on big data and/or artificial intelligence (AI) methods, for building better information systems to influence policy?
Target group
Brussels-based stakeholders from the Permanent Representations of Member States to the EU, European Commission, the European Parliament, European business and sector associations, trade union and employee organisations.
Event objectives
The objective of the 5th Brussels-based seminar was to highlight the importance of a ‘blended’ approach, taking into consideration the latest developments in big data and AI-based tools for developing labour market and skills intelligence. Cedefop and external experts from pioneering public and public organisations (e.g. OECD, IBM, VDAB) sought to debate promising approaches in effectively integrating new big data or AI-based data analytics within existing skills anticipation/matching processes of EU countries.
Cedefop experts and the invited speakers presented their research and policy instruments used for improving skills matching capabilities and diagnostics.
Event details
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Agenda
Making labour market and skills intelligence relevant for VET policy - Alena Zukersteinova - Konstantinos Pouliakas - Cedefop
Getting data on skills in real time - Jasper van Loo - Cedefop
Transformation, transitions and employee empowerment - David Barnes - IBM
Deep learning and AI for better skills matching - Erik Klewais - VDAB
Vacancy mining for validating and supplementing labour market taxonomies: challenges and lessons learnt - Claudia Plaimauer - 3s
Blending the old with the new-Lessons from the 'Getting skills right' initiative - Fabio Manca - OECD