Development of a skills forecasting model

This thematic sub-category refers to the integration of VET into economic, industrial, innovation, social and employment strategies, including those linked to recovery, green and digital transitions, and where VET is seen as a driver for innovation and growth. It includes national, regional, sectoral strategic documents or initiatives that make VET an integral part of broader policies, or applying a mix of policies to address an issue VET is part of, e.g. in addressing youth unemployment measures through VET, social and active labour market policies that are implemented in combination. National skill strategies aiming at quality and inclusive lifelong learning also fall into this sub-category.

This thematic sub-category refers both to formal mechanisms of stakeholder engagement in VET governance and to informal cooperation among stakeholders, which motivate shared responsibility for quality VET. Formal engagement is usually based on legally established institutional procedures that clearly define the role and responsibilities for relevant stakeholders in designing, implementing and improving VET. It also refers to establishing and increasing the degree of autonomy of VET providers for agile and flexible VET provision.

In terms of informal cooperation, the sub-category covers targeted actions by different stakeholders to promote or implement VET. This cooperation often leads to creating sustainable partnerships and making commitments for targeted actions, in line with the national context and regulation, e.g. national alliances for apprenticeships, pacts for youth or partnerships between schools and employers. It can also include initiatives and projects run by the social partners or sectoral organisations or networks of voluntary experts and executives, retired or on sabbatical, to support their peers in the fields of VET and apprenticeships, as part of the EAfA.

High-quality and timely skills intelligence is a powerful policy tool, helping improve economic competitiveness and fostering social progress and equality through the provision of targeted skills training to all citizens (Cedefop, 2020). Skills intelligence is the outcome of an expert-driven process of identifying, analysing, synthesising and presenting quantitative and/or qualitative skills and labour market information. Skills intelligence draws on data from multiple sources, such as graduate tracking systems, skills anticipation mechanisms, including at sectoral and regional levels. Actions related to establishing and developing such systems fall under this thematic sub-category.