Data Science Pathways to re-imagine education
natisniPredstavitev projekta
Naslov: Data Science Pathways to re-imagine education
Akronim: Da.Re
Oznaka projekta: -
Koordinator (vodilni partner): AEA s.r.l., Loccioni - Italija
Partnerske institucije:
- AEA s.r.l. - Italija
- UNIVERSITA DEGLI STUDI DI CAMERINO - Italija
- COMPANY FOR PROVISON OF SERVICES, RESEARCH AND DEVELOPMENT NISSATECH INNOVATION CENTRE DOO - Srbija
- Information Systems Lda - Portugalska
- THE OPEN UNIVERSITY - Velika Britanija
- ABELIUM DOO RAZISKAVE IN RAZVOJ - Slovenija
- UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE - Slovenija
- Instituto Politécnico de Bragança - Portugalska
- Vision Scientific Ltd - Velika Britanija
- eConsulenza di Gabriella Bigatti - Italija
- ASSOCIAZIONE INDUSTRIALI DELLA PROVINCIA DI ANCONA – Italija
Vodja projekta na UP FAMNIT: doc. dr. Branko Kavšek
Financer projekta: Evropska komisija, program Erasmus+
Raziskovalno področje (ARRS):
Trajanje projekta: 1. 9. 2016 - 31. 8. 2019
Project presentationna vrh
Title: Data Science Pathways to re-imagine education
Project acronym: Da.Re
Project code: -
Leading institution: AEA s.r.l., Loccioni - Italy
Partner institutions:
- AEA s.r.l. - Italy
- UNIVERSITA DEGLI STUDI DI CAMERINO - Italy
- COMPANY FOR PROVISON OF SERVICES, RESEARCH AND DEVELOPMENT NISSATECH INNOVATION CENTRE DOO - Serbia
- Information Systems Lda - Portugal
- THE OPEN UNIVERSITY - United Kingdom
- ABELIUM DOO RAZISKAVE IN RAZVOJ - Slovenia
- UNIVERZA NA PRIMORSKEM UNIVERSITA DEL LITORALE - Slovenia
- Instituto Politécnico de Bragança - Portugal
- Vision Scientific Ltd - United Kingdom
- eConsulenza di Gabriella Bigatti - Italy
- ASSOCIAZIONE INDUSTRIALI DELLA PROVINCIA DI ANCONA – Italy
Principal investigator at UP FAMNIT: Assist. Prof. Dr. Branko Kavšek
Funding organization: European Commission, Erasmus+
Research field (SRA):
Duration: 1. 9. 2016 - 31. 8. 2019
Description:
The project's general objective is to build, improve and maintain industry-university networking in the field of data science as a means to strengthen Europe's knowledge triangle of research, education and business and to raise awareness of Big Data's potential as a bridge between these worlds.
Maintaining this link is key due to the dynamic nature of Data Science. Continuous improvement and a constant loop between industry and academia for sharing requirements and findings is also fundamental.