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Intelligence and Co-Creation in Smart Specialisation Strategies: Towards the Next Stage of RIS3
- Publication Year :
- 2021
- Publisher :
- European Lifelong Learning Initiave (ELLI), 2021.
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Abstract
- Publisher Copyright: © 2021. ArchiDOCT. All Rights Reserved. The white paper on “Intelligence and Co-creation in Smart Specialisation Strategies” outlines some key conclusions from the Online S3 project, funded under the Horizon 2020 programme of the European Commission. The Online S3 project has produced an online platform composed of software applications and roadmaps that facilitate the design and implementation of Research and Innovation Strategies for Smart Specialisation (RIS3). Using a baseline set of methodologies for strategy design, Online S3 is advancing the understanding of RIS3 as a place-based and evidence-driven innovation policy, relying on large datasets and software for user engagement, co-creation and collective intelligence in policy design. In this white paper, the core building blocks of RIS3 are presented, as they appear in EU documents and related literature, such as ex ante conditionalities, stakeholder engagement, specialisation by diversification, entrepreneurial discovery, policy co-design, monitoring and assessment. This white paper also discusses weaknesses of the current period and what can be done better in the near future; thus, puts RIS3 in retrospect and prospect for 2021-2027. At the same time, it looks into critical dimensions for the next stage of RIS3, focusing on how strategies can be improved by datasets and software, enabling the implementation of complex methods; thus, facilitating collective intelligence and co-creation of solutions, which both are able to usher a transition from the triple to quadruple helix model of collaboration. Finally, the annex presents a short description of the 28 software applications and the 4 roadmaps hosted on the Online S3 Platform, which enable the use of datasets and sophisticated methodologies by policy-makers.
- Subjects :
- Data
Co-creation
Policy-making
Evidence-driven innovation policy
Dataset
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.od.......661..25cd3e0f8a33989ff7ed4cd38a0b1a0f