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Learning, Applying, Multiplying Big Data Analytics

Objective

In the last ten years, Open Data and Big Data technologies have attracted the attention of the research community, software providers and policy decision makers as they are expected to create huge economic value for years to come. Considering the current and future social-economic challenges in the EU, especially in the South-East Europe, as well as scientific and industry gaps and deficiencies between Serbia and EU, the project shall define a scientific strategy for stepping up and stimulating scientific excellence and innovation capacity, increasing research capacities and unlocking the research potential of the biggest and the oldest R&D Institute in the ICT area in the whole West Balkan region, turning the Institute Mihajlo Pupin into a regional point of reference when it comes to multidisciplinary ICT competence related to Big Data analytics. The project shall implement a thoroughly prepared plan of actions for knowledge exchange and transfer between the linked institutions and carry out a wide range of dissemination and outreach activities in the West Balkan countries and across Europe. The emphasis shall be on the sustainability of activities of existing Center of Excellence for Semantic Web technologies and their upgrade and extension in one of the fastest developing fields, the Big Data research. Different knowledge transfer instruments (mentorships, brainstorming sessions, school type activities) and different types of twinning relationships (institution to institution, institution to network) shall be used to further strengthen and extend the collaboration with internationally-leading counterparts and produce a Strategy for long-term collaboration for mutual benefits to partners and other stakeholders. The partner organizations shall use the available infrastructure of the PUPIN TTO and organize numerous community building and outreach events aimed at strengthening links to policy makers, industry, standardization bodies, other TTOs and society.

Field of science

  • /natural sciences/computer and information sciences/internet/semantic web
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/data science/data analysis

Call for proposal

H2020-WIDESPREAD-05-2017-Twinning
See other projects for this call

Funding Scheme

CSA - Coordination and support action

Coordinator

INSTITUT MIHAJLO PUPIN
Address
Volgina 15
11060 Beograd
Serbia
Activity type
Research Organisations
EU contribution
€ 332 612,50

Participants (3)

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 206 817,50
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Germany
EU contribution
€ 181 717,50
Address
Regina Pacis Weg 3
53113 Bonn
Activity type
Higher or Secondary Education Establishments
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
United Kingdom
EU contribution
€ 263 805
Address
Wellington Square University Offices
OX1 2JD Oxford
Activity type
Higher or Secondary Education Establishments