EURITO project aims at developing new indicators for R&I policy, using new types of data, novel analytical methods and interactive visualizations. In this line, EURITO has been working on different streams of analysis to determine the potential of different data sources for addressing burning R&I policy questions, in order to generate a set of high quality and automatically updatable Relevant, Inclusive, Timely, Trusted and Open indicators.
In this regard, here we bring relevant documents where the results achieved to date are explained, that we think might be of your interest:
OTHER EURITO ISSUES:
- “Pilots Specification Note”. In this report, we aimed to present the EURITO data pilots selected in the project to address the R&I policy needs, explaining their requirements, opportunities and specifications.
- “Pilots Research Results”. A more detailed report was developed explaining the selected data pilots, including a detailed explanation of the research results, code, data and methods per pilot.
- “Design of data collection phase”. Here we share a validated design for the EURITO data-collection strategy.
- “Quantitative methods”. Set of quantitative methods embedded in open software tools for data collection and integration.
- The EURITO Scale up validation workshop about big data indicators for innovation policy, which took place on June the 20th in Madrid (Spain), joined a rich mix of policy actors that covered and discussed the advances and results achieved within EURITO on the following topics:
- Emerging and high impact technologies,
- Research funding evaluation,
- Inclusive innovation and mission-oriented innovation policies
- Predictive analyses of innovation indicators.
- Collaborate by joining any of our project’s Stakeholder Groups.