ARtificial Intelligence Skills Alliance (ARISA)

The growing demand for skilled employees within the Artificial Intelligence (AI) cannot be met by current education and training programmes. Europe needs an innovative European AI Strategy that can fast-track the upskilling of the EU’s workforce to meet this ever-increasing demand.

Objective

The project will support the implementation of the European Pact for Skills by developing a sectoral skills strategy on AI. This  strategy aims to  lead to systemic  and  structural  impact  on  reducing  skills  shortages,  gaps, and mismatches, as well as ensure appropriate quality and levels of skills. 

Results

Expected results and impact
The  project  includes: 

  • the establishment of a long-term partnership for an innovative European Artificial Intelligence Skills Alliance;
  • the design and widespread dissemination of an innovative and sustainable short term and long term AI Skills Strategy;
  • the development, testing and roll-out of VET and HE training curricula in 8 pilot sites (5 universities and 3 VET providers);  
  • the adaptation of programmes and qualifications in line with latest market needs.
  • connecting micro-credentials to these new programmes and courses

Long-term benefits
The AI Skills Strategy, VET and HE curricula, and the learning programmes will be designed, solidly tested in practice and made available to be adapted and scaled across the whole of Europe, meeting the current and future skills needs of the AI Sector and driving the growth of AI talent in Europe.

Duration

01 June 2022 - 01 June 2026

Approach

The project will be implemented in nine work packages as follows:
1 – Project management and coordination
2 - Needs analysis
3 – AI Skills Strategy
4 - Development of an innovative curricula and training programme
5 - Development of a certification system
6 – Piloting in different EU countries
7 – Dissemination and communication
8 – Long term sustainability
9 – Quality assurance

In terms of content, the project starts with the Needs Analysis, in which the skills mismatch at European level is analysed by, among other things, investigating the need for skills based on job vacancies and available relevant AI training programs.

 

HU researchers involved in the research

  • Xander Lub
    Xander Lub
    • Professor
    • Research groups: Organisations in Digital Transition
  • Machiel Bouwmans | Researcher | Research group Vocational Education
    Machiel Bouwmans
    • Researcher
    • Research groups: Organisations in Digital Transition
  • Ran Zhang
    Ran Zhang
    • Teacher-researcher
    • Research groups: Organisations in Digital Transition
  • Huib Alderwereld
    Huib Aldewereld
    • Researcher
    • Research groups: Artificial Intelligence
  • Stefan Leijnen
    • Professor
    • Research groups: Artificial Intelligence
  • Guido Ongena | Researcher | Process Innovation and Information Systems
    Guido Ongena
    • Researcher
    • Research groups: Process Innovation and Information Systems
  • Paul Mosch
    • Researcher
    • Research groups: Process Innovation and Information Systems
  • Pascal Ravesteijn | Professor | Process innovation and information systems
    Pascal Ravesteijn
    • Professor
    • Research groups: Process Innovation and Information Systems

Collaboration with knowledge partners

The consortium is composed by five main groups of partners:

  1. National Trade associations and Industry Umbrella Organisations: Digital Europa, DIGITAL SME, CCIS (Chamber of Commerce and Industry of Slovenia), and IVSZ (ICT Association of Hungary).
  2. High Education providers: University of Applied Sciences Utrecht, UNIR (International University of La Rioja, Spain), BME (Budapest University of technology and economics), University of Ljubljana, and Warsaw University of Computer Science.
  3. Vocational Education and Training providers: Adecco, Digital Technology Skills Limited (DTSL), Global Knowledge, BCS Koolitus, EXELIA.
  4. Certification bodies: ASIIN (German Accreditation Agency for qualification programs in the STEM field), CIMEA.

 

Any questions or want to collaborate?

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