DESTINI | Smart Data ProcESsing and SysTems of Deep INsIght

Summary
DESTINI proposes a series of coordination and support actions for promoting research in the area of Smart Data. It brings together two internationally recognized scientific groups from the Netherlands (Tilburg University) and Italy (Sapienza Università di Roma) that collaborate with Cyprus University of Technology (CUT) so as to strengthen CUT’s research and scientific profile in the relevant area. The aim of DESTINI is to facilitate transfer of scientific knowledge and expertise, as well as of best research practices from the leading institutions to CUT. The ultimate goal is that the research group of CUT increases its research capacity and prowess, by investigating a number of significant and hot topics in the field of Smart Data Processing and Systems of Deep Insight. The research pillars of DESTINI are Smart Data Processing Systems, Systems of Deep Insight and Methodology for Smart Data-centric Services & Applications. We envisage that a number of high-quality research results may be produced during and after the duration of the project; this will enable CUT to significantly increase its international standing in the research community, by both achieving related publications in the top-tier scientific journals and conferences of our research area, as well as by producing new tools that will benefit industrial and business stakeholders. Close cooperation between the partners of DESTINI will take the form of knowledge acquisition and transfer through personnel exchanges, expert visits, organization of workshops and summer schools with lectures delivered from the leading institutions, participation in international scientific conferences/workshops, development of joint training sessions and mobility programmes for early stage researchers, and establishment of strong links with the market/industry.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/857420
Start date: 01-10-2019
End date: 30-09-2022
Total budget - Public funding: 799 267,50 Euro - 799 267,00 Euro
Cordis data

Original description

DESTINI proposes a series of coordination and support actions for promoting research in the area of Smart Data. It brings together two internationally recognized scientific groups from the Netherlands (Tilburg University) and Italy (Sapienza Università di Roma) that collaborate with Cyprus University of Technology (CUT) so as to strengthen CUT’s research and scientific profile in the relevant area. The aim of DESTINI is to facilitate transfer of scientific knowledge and expertise, as well as of best research practices from the leading institutions to CUT. The ultimate goal is that the research group of CUT increases its research capacity and prowess, by investigating a number of significant and hot topics in the field of Smart Data Processing and Systems of Deep Insight. The research pillars of DESTINI are Smart Data Processing Systems, Systems of Deep Insight and Methodology for Smart Data-centric Services & Applications. We envisage that a number of high-quality research results may be produced during and after the duration of the project; this will enable CUT to significantly increase its international standing in the research community, by both achieving related publications in the top-tier scientific journals and conferences of our research area, as well as by producing new tools that will benefit industrial and business stakeholders. Close cooperation between the partners of DESTINI will take the form of knowledge acquisition and transfer through personnel exchanges, expert visits, organization of workshops and summer schools with lectures delivered from the leading institutions, participation in international scientific conferences/workshops, development of joint training sessions and mobility programmes for early stage researchers, and establishment of strong links with the market/industry.

Status

CLOSED

Call topic

WIDESPREAD-03-2018

Update Date

17-05-2024
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Horizon 2020
H2020-EU.4. SPREADING EXCELLENCE AND WIDENING PARTICIPATION
H2020-EU.4.b. Twinning of research institutions
H2020-WIDESPREAD-2018-03
WIDESPREAD-03-2018 Twinning