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Smart Specialization Strategy Tools with Big Data

Descrizione del progetto

Strategia dell’UE per la specializzazione intelligente

Di fronte alla globalizzazione, le regioni europee devono diventare più competitive e resilienti. In tutta Europa sono state attuate oltre 120 strategie di specializzazione intelligente per promuovere partenariati interregionali e transfrontalieri in settori quali la modernizzazione industriale, la digitalizzazione, la transizione energetica e l’agroalimentare. Entro il 2020 saranno immessi sul mercato circa 15 000 nuovi prodotti, creando 140 000 start-up e 350 000 posti di lavoro. Il progetto SSST-BD, finanziato dall’UE, svilupperà metriche scientifiche e strumenti di gestione basati sulla conoscenza per analizzare e gestire le strategie. L’obiettivo è quello di misurare la competitività delle industrie e delle attività imprenditoriali regionali, valutare il valore dei brevetti e sviluppare strumenti di previsione dei megadati.

Obiettivo

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.

Meccanismo di finanziamento

MSCA-IF-EF-ST - Standard EF

Coordinatore

TURUN YLIOPISTO
Contribution nette de l'UE
€ 190 680,96
Indirizzo
YLIOPISTONMAKI
20014 Turku
Finlandia

Mostra sulla mappa

Regione
Manner-Suomi Etelä-Suomi Varsinais-Suomi
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 190 680,96