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EU Relevant, Inclusive, Timely, Trusted, and Open Research Innovation Indicators

Objective

Big data and data analytics offer significant opportunities to transform Research and Innovation (R&I) policy with a new generation of more relevant, inclusive and timely indicators than those already available, potentially enabling better decisions with bigger (and better measured) impacts. However, concerns about the representativity, accuracy and interpretability of new data sources and methods is slowing down their acceptance.
EURITO brings together a unique consortium of organisations with strong capabilities in R&I policy, big data analytics, machine learning and data visualisation with the goal of taking new data sources and methods from the periphery of R&I policy to its core. To achieve this, we will adopt a work process inspired by the findings of a DG RTD funded project on Data Mining for Research and Innovation Policy that Nesta was involved with as a technical expert. We will start with a scoping stage where we engage with policy and data stakeholders to discover R&I policy user needs, then turn those needs into agile R&I analytics data pilots in a exploratory stage. We will scale-up the most promising pilots to generate next generation, relevant, inclusive, timely and open R&I indicators, which we will then validate rigorously, and communicate using interactive visualisation tools that support decision-making, encourage further exploration of the data, and open it up to wider audiences, making R&I policy-making processes more transparent and democratic.
The potential impacts of EURITO include better informed and targeted R&I policies, new opportunities for innovation that build on the open data, open code and open knowledge developed throughout the project, an enhanced understanding of innovation systems, and new opportunities for information sharing and collaboration between policymakers, researchers and data businesses.

Field of science

  • /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

NESTA
Address
58 Victoria Embankment
EC4Y 0DS London
United Kingdom
Activity type
Research Organisations
EU contribution
€ 598 425

Participants (3)

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 273 750
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
DANMARKS TEKNISKE UNIVERSITET
Denmark
EU contribution
€ 274 655
Address
Anker Engelundsvej 1 Bygning 101 A
2800 Kgs Lyngby
Activity type
Higher or Secondary Education Establishments
FUNDACION COTEC PARA LA INNOVACION
Spain
EU contribution
€ 322 812,50
Address
Calle Velazquez 24 2
28001 Madrid
Activity type
Other