Description du projet
La stratégie de l’UE pour une spécialisation intelligente
Face à la mondialisation, les régions européennes doivent devenir plus compétitives et résilientes. Plus de 120 stratégies de spécialisation intelligentes ont été mises en œuvre dans toute l’Europe pour promouvoir les partenariats interrégionaux et transfrontaliers dans des domaines tels que la modernisation industrielle, la numérisation, la transition énergétique et l’agroalimentaire. D’ici 2020, quelque 15 000 nouveaux produits seront mis sur le marché, entraînant la création de 140 000 start-up et de 350 000 emplois. Le projet SSST-BD, financé par l’UE, développera des mesures scientifiques et des outils de gestion basés sur la connaissance pour analyser et gérer les stratégies. L’objectif consiste à mesurer la compétitivité des industries et des activités entrepreneuriales régionales, d’évaluer la valeur des brevets et de développer des outils de prévision axés sur les mégadonnées.
Objectif
This project aims to develop novel scientific metrics approaches and automated tools for the analysis and management of the European Smart Specialization Strategy. The European Union (EU) has introduced Smart Specialization Strategy (S3) to increase the innovation and competitive potential of its member states by identifying promising economic areas for investment and specialization. While the evaluation of Smart Specialization Strategy requires measurable criteria for the comparison of rate and level of development of regional economic activities, policy makers lack efficient and viable tools for mapping promising sectors for smart specialization. To address this issue, the proposed action intends to develop automated knowledge-based management tools and planning approaches for S3. In particular, we plan to develop novel methods for measuring the competitiveness of regional industries and entrepreneurial activities in order to avoid duplication and fragmentation of innovation effort in EU and to help European regions identify a niche market of specialization in a global value chain. The research will also develop big data foresight tools for testing and evaluating new firm business concepts and assessing patent values based on weak signals of technological changes. In this way, we aim to examine which European regions in which sectors produce radical and disruptive innovations and in which areas they show potential of future specialization. Moreover, we will study the effect of local knowledge resources on generating radical and disruptive business opportunities. To summarize, the project identifies and addresses major gaps in smart specialization research and provides new tools for this strategic field of research.
Champ scientifique
Programme(s)
Régime de financement
MSCA-IF-EF-ST - Standard EFCoordinateur
20014 Turku
Finlande