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Academic offer and demand for advanced profiles in the EU. Artificial Intelligence, High Performance Computing and Cybersecurity

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Abstract

This study aims at supporting the policy initiatives to develop the availability in EC Member States of adequate advanced digital skills in a number of IT domains including Artificial Intelligence, High Performance Computing and Cybersecurity. By making use of the Techno-Economic Segments analytical approach developed under the PREDICT3 project (joint effort of EC JRC and DG CNECT), the study collects data and builds quantitative indicators to provide evidence based policy support. It addresses the mapping of digital skills in the mentioned technological domains from two complementary perspectives: the existing offer of academic courses (bachelor, master and doctoral programs), and the demand of profiles by industry as reflected by industry activity in the referred fields.

Suggested Citation

  • Montserrat Lopez-Cobo & Giuditta De Prato & Georgios Alaveras & Riccardo Righi & Sofia Samoili & Jiri Hradec & Lukasz Ziemba & Katarzyna Pogorzelska & Melisande Cardona, 2019. "Academic offer and demand for advanced profiles in the EU. Artificial Intelligence, High Performance Computing and Cybersecurity," JRC Working Papers JRC113966, Joint Research Centre (Seville site).
  • Handle: RePEc:ipt:iptwpa:jrc113966
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC113966
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    Cited by:

    1. Daniel Nepelski & Maciej Sobolewski, 2020. "Estimating investments in General Purpose Technologies. The case of AI Investments in Europe," JRC Working Papers JRC118953, Joint Research Centre (Seville site).

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    Keywords

    digital skills; industry demand; educational offer; artificial intelligence; cybersecurity; high performance computing; digital transformation;
    All these keywords.

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