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Big DATA approaches FOR improved monitoring of research and innovation performance and assessment of the societal IMPACT in the Health, Demographic Change and Wellbeing Societal Challenge

Objective

Recent technological developments in data mining, data treatment and data analysis have been rapid and far reaching, offering new dimensions and opportunities for performance analytics in various domains. The introduction of new technologies and initiatives, including open access mechanisms and social media/online media, has been generating increasing volumes of new data on the research domain. Data4Impact aims to capitalise on these developments and utilise big data approaches to improve the monitoring of research and innovation performance and assessment of the societal impact in the Health, Demographic Change and Wellbeing Societal Challenge. The project has he following main objectives: a) define, develop, analyse and disseminate new indicators for assessing the performance of EU and national research and innovation systems; b) explore and collect “big” data on health-related societal challenges at input, throughput, output/result and impact levels; c) employ big data approaches to yield more data on the societal impact of national and EU funding on tackling health-related societal challenges; d) engage stakeholders in the project activities, validate the project results and develop new indicators and tools using a hands-on approach. It will do so by developing a robust conceptual model addressing all key stages of the innovation process; mining large volumes of data on research results and impacts; and analysis of these data using topic modelling, machine learning and other techniques aimed at natural language processing. The Data4Impact consortium possesses specialist knowledge of the health domain & indicator systems, and is uniquely placed to mine data and apply big data approaches thanks to the partner’s long-standing involvement in OA e-infrastructures and big data analytics. Through these objectives, activities and competences Data4Impact addresses both key issues described in the specific CO-CREATION-08-2016-2017 call.

Field of science

  • /natural sciences/computer and information sciences/data science/natural language processing
  • /natural sciences/computer and information sciences/data science/big data
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /natural sciences/computer and information sciences/data science/data analysis
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

H2020-SC6-CO-CREATION-2017
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

VIESOJI ISTAIGA VIESOSIOS POLITIKOSIR VADYBOS INSTITUTAS
Address
Gedimino Pr 50/A Rotundo G 2
01110 Vilnius
Lithuania
Activity type
Research Organisations
EU contribution
€ 300 000

Participants (5)

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Greece
EU contribution
€ 436 875
Address
Artemidos 6 Kai Epidavrou
151 25 Maroussi
Activity type
Research Organisations
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 195 478,75
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
CONSIGLIO NAZIONALE DELLE RICERCHE
Italy
EU contribution
€ 199 250
Address
Piazzale Aldo Moro 7
00185 Roma
Activity type
Research Organisations
HOEGSKOLAN I BORAS
Sweden
EU contribution
€ 250 250
Address
Allegatan 1
50190 Boras
Activity type
Higher or Secondary Education Establishments
QUALIA TECHNOLOGIES KATANOISIS ANONYMOS ETAIRIA
Greece
EU contribution
€ 118 125
Address
Voriou Ipirou 4
14564 Kifisia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)