{"id":5872,"date":"2026-03-17T07:11:44","date_gmt":"2026-03-17T06:11:44","guid":{"rendered":"https:\/\/efri.uniri.hr\/?page_id=5872"},"modified":"2026-10-30T09:18:42","modified_gmt":"2026-10-30T08:18:42","slug":"aisha","status":"publish","type":"page","link":"https:\/\/efri.uniri.hr\/en\/projects\/european-projects\/horizon-projects\/aisha\/","title":{"rendered":"AISHA"},"content":{"rendered":"\n

Project Overview<\/strong><\/p>\n\n\n\n

1. AISHA \u2013 Artificial Intelligence Skills Hub Academy is a four-year pan-European initiative aimed at developing advanced skills in generative artificial intelligence (GenAI). The project addresses the growing shortage of AI-related skills and the need to adapt education and the labour market to the rapid advancement of artificial intelligence, with a particular focus on the technical, managerial, regulatory and ethical aspects of its application.<\/p>\n\n\n\n

2. The project develops modular educational programmes, professional development and training programmes, sector-specific laboratories and pilot initiatives, alongside accreditation and micro-credential systems aligned with European frameworks. Particular emphasis is placed on the application of artificial intelligence in strategic sectors and on strengthening the capacity of public and private sector organisations to adopt AI responsibly and effectively.<\/p>\n\n\n\n

3. AISHA makes a significant contribution to strengthening AI adoption capabilities in the public sector and among small and medium-sized enterprises (SMEs). For the public sector, the project includes training programmes focusing on areas such as the automation of administrative processes, healthcare services and legal support, incorporating knowledge of the EU AI Act and trustworthy artificial intelligence. The project also introduces measures to broaden access to AI education, including scholarships, labour market reintegration programmes and training opportunities for women and other underrepresented groups.<\/p>\n\n\n\n

4. The project lays the foundations for an EU Knowledge Hub and a Centre of Excellence for AI Education and Skills, bringing together educational institutions, industry and other relevant stakeholders. Through curriculum development, sector-specific pilot initiatives, micro-credential systems, impact assessment and a European network of partners, AISHA aims to ensure the long-term sustainability and wider uptake of its educational and training programmes. In doing so, the project seeks to contribute to the EU’s digital sovereignty, productivity and the quality of public services.<\/p>\n\n\n\n

5. The Faculty of Economics and Business, University of Rijeka (EFRI) leads Work Package 8 (WP8) \u2013 Measurement & Evaluation. Within this work package, EFRI contributes to the design of the evaluation methodology, ensures that the evaluation system is aligned with higher education standards and that the indicators are applicable in practice, and participates in the implementation and ongoing refinement of the Evaluation Framework. EFRI also carries out activities related to quality assurance, impact measurement and risk monitoring. WP8 spans the entire four-year project duration, from Month 1 to Month 48.<\/p>\n\n\n\n

AISHA Project Consortium<\/strong><\/p>\n\n\n\n

The AISHA consortium comprises 30 partners from various European countries, including higher education institutions, research organisations, education and training providers, and other relevant stakeholders:<\/p>\n\n\n\n

    \n
  1. Inspiring Futures Europe (IF.E) \u2013 Project Coordinator<\/li>\n\n\n\n
  2. Alma Mater Studiorum \u2013 Universit\u00e0 di Bologna<\/li>\n\n\n\n
  3. Vrije Universiteit Brussel<\/li>\n\n\n\n
  4. Universit\u00e4t f\u00fcr Weiterbildung Krems<\/li>\n\n\n\n
  5. Universitetet i Bergen<\/li>\n\n\n\n
  6. INESC ID \u2013 Instituto de Engenharia de Sistemas e Computadores, Investiga\u00e7\u00e3o e Desenvolvimento em Lisboa (INESC.ID)<\/li>\n\n\n\n
  7. Politecnico di Milano<\/li>\n\n\n\n
  8. Universidad Polit\u00e9cnica de Madrid<\/li>\n\n\n\n
  9. Universit\u00e0 degli Studi di Roma La Sapienza<\/li>\n\n\n\n
  10. Universit\u00e4t der Bundeswehr M\u00fcnchen<\/li>\n\n\n\n
  11. Universitat de Val\u00e8ncia<\/li>\n\n\n\n
  12. University of Rijeka, Faculty of Economics and Business (EFRI)<\/li>\n\n\n\n
  13. Copenhagen Business School<\/li>\n\n\n\n
  14. Universit\u00e4t Konstanz<\/li>\n\n\n\n
  15. POLI.DESIGN<\/li>\n\n\n\n
  16. ASC27<\/li>\n\n\n\n
  17. TILDE SIA<\/li>\n\n\n\n
  18. Learning Intelligence Group LIG OY (LIG)<\/li>\n\n\n\n
  19. European Digital SME Alliance (EDSA)<\/li>\n\n\n\n
  20. Stichting ALLAI Nederland<\/li>\n\n\n\n
  21. Cognito S.R.L.<\/li>\n\n\n\n
  22. The Data Tank (TDT)<\/li>\n\n\n\n
  23. IAL Innovazione Apprendimento Lavoro Toscana SRL IMPRESA SOCIALE<\/li>\n\n\n\n
  24. The Right Street (TRS)<\/li>\n\n\n\n
  25. Fondacija Petlja<\/li>\n\n\n\n
  26. Region V\u00e4rmland (VARM)<\/li>\n\n\n\n
  27. Technische Universiteit Delft (TUD)<\/li>\n\n\n\n
  28. Sorbonne Universit\u00e9 (SCAI)<\/li>\n\n\n\n
  29. Fundacio Escola de Postgrau i Xarxa de Centres d\u2019Investigacio en Intel\u00b7ligencia Artificial (VALGRAI)<\/li>\n\n\n\n
  30. XR8 DI Molinari Francesco & C. S.A.S.<\/li>\n<\/ol>\n\n\n\n

    EFRI Project Team<\/strong><\/p>\n\n\n\n

      \n
    • Prof. Sa\u0161a Drezgi\u0107, PhD \u2013 Project Team Leader<\/li>\n\n\n\n
    • Assoc. Prof. Vesna Buterin, PhD \u2013 Deputy Project Team Leader<\/li>\n\n\n\n
    • Asst. Prof. Ivan Gr\u017eeta, PhD<\/li>\n\n\n\n
    • Assoc. Prof. Maja Grdini\u0107, PhD<\/li>\n\n\n\n
    • Prof. Dragan \u010ci\u0161i\u0107, PhD<\/li>\n\n\n\n
    • Prof. Zvonko \u010capko, PhD<\/li>\n\n\n\n
    • Prof. Zoran Je\u017ei\u0107, PhD<\/li>\n\n\n\n
    • Prof. Bojana Olgi\u0107 Dra\u017eenovi\u0107, PhD<\/li>\n\n\n\n
    • Asst. Prof. Stella Sulji\u0107 Nikolaj, PhD<\/li>\n\n\n\n
    • Asst. Prof. Ana Babi\u0107, PhD<\/li>\n\n\n\n
    • Prof. Ana \u0160tambuk, PhD<\/li>\n\n\n\n
    • Assoc. Prof. Nikolina Duki\u0107 Samar\u017eija, PhD<\/li>\n\n\n\n
    • Assoc. Prof. Andrea Arbula Blecich, PhD<\/li>\n\n\n\n
    • Anamarija Zron, MSc in Economics<\/li>\n\n\n\n
    • Ivan Mu\u017ei\u0107, MSc in Economics<\/li>\n<\/ul>\n\n\n\n

      Project Funding and Duration<\/strong><\/p>\n\n\n\n

      The AISHA project is co-funded by the European Union through the Digital Europe Programme, administered by the European Health and Digital Executive Agency (HaDEA).<\/p>\n\n\n\n

      Total project budget: EUR 6.9 million<\/p>\n\n\n\n

      Project duration: 1 May 2026 \u2013 30 April 2030<\/p>\n\n\n\n

      \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

      Project Overview 1. AISHA \u2013 Artificial Intelligence Skills Hub Academy is a four-year pan-European initiative aimed at developing advanced skills in generative artificial intelligence (GenAI). The project addresses the growing shortage of AI-related skills and the need to adapt education and the labour market to the rapid advancement of artificial intelligence, with a particular focus […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":5863,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-5872","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/pages\/5872","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/comments?post=5872"}],"version-history":[{"count":3,"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/pages\/5872\/revisions"}],"predecessor-version":[{"id":10458,"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/pages\/5872\/revisions\/10458"}],"up":[{"embeddable":true,"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/pages\/5863"}],"wp:attachment":[{"href":"https:\/\/efri.uniri.hr\/en\/wp-json\/wp\/v2\/media?parent=5872"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}