Coordinatore | COLLEGIO CARLO ALBERTO - CENTRO DI RICERCA E ALTA FORMAZIONE
Organization address
address: CORSO VITTORIO EMANUELE II 75 contact info |
Nazionalità Coordinatore | Italy [IT] |
Sito del progetto | http://pick-me.carloalberto.org/index.php |
Totale costo | 2˙372˙031 € |
EC contributo | 1˙838˙819 € |
Programma | FP7-SSH
Specific Programme "Cooperation": Socio-economic Sciences and Humanities |
Code Call | FP7-SSH-2010-2 |
Funding Scheme | CP-FP |
Anno di inizio | 2011 |
Periodo (anno-mese-giorno) | 2011-01-01 - 2014-06-30 |
# | ||||
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1 |
COLLEGIO CARLO ALBERTO - CENTRO DI RICERCA E ALTA FORMAZIONE
Organization address
address: CORSO VITTORIO EMANUELE II 75 contact info |
IT (TORINO) | coordinator | 371˙744.00 |
2 |
UNIVERSITAET HOHENHEIM
Organization address
address: Schloss Hohenheim 1 contact info |
DE (STUTTGART) | participant | 224˙148.00 |
3 |
AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Organization address
address: CALLE SERRANO 117 contact info |
ES (MADRID) | participant | 219˙423.00 |
4 |
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Organization address
address: Houghton Street 1 contact info |
UK (LONDON) | participant | 212˙408.00 |
5 |
UNIVERSITEIT UTRECHT
Organization address
address: Heidelberglaan 8 contact info |
NL (UTRECHT) | participant | 207˙504.00 |
6 |
CASE - CENTRUM ANALIZ SPOLECZNO- EKONOMICZNYCH- FUNDACJA NAUKOWA
Organization address
address: ALEJA JANA PAWLA II 61B contact info |
PL (WARSZAWA) | participant | 203˙620.00 |
7 |
THE SAMUEL NEAMAN INSTITUTE FOR ADVANCED STUDIES IN SCIENCE AND TECHNOLOGY OF THE TECHNION LTD (PSC)
Organization address
address: TECHNION CITY contact info |
IL (HAIFA) | participant | 200˙420.00 |
8 |
UNIVERSITE DE NICE SOPHIA ANTIPOLIS
Organization address
address: AVENUE VALROSE 28 GRAND CHATEAU contact info |
FR (NICE) | participant | 199˙552.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
'The ongoing global economic crisis is seriously challenging advanced capitalistic economies. In the last year the GDP has fallen at dramatic rates, creating the conditions for the upsurge of unemployment, above all in areas characterized by specialization in mature industries. According to recent growth models and empirical evidence, innovation and knowledge creation represent the main factors able to improve the competitiveness and the long run perspectives of growth of countries. Yet, innovation and technology policies have mainly been designed by relying on a supply side perspective so as to affect the creation of knowledge by providing funds to carry out R&D activities and by enhancing education and training for researchers. However, a debate has recently emerged, about the need for grafting innovation and technology policies in a demand-oriented framework. The aim of this project is to provide an original contribution to the ongoing debate, advancing the understanding of the mechanisms through which demand-based innovation policies may stimulate effective knowledge creation process, and eventually trigger competitiveness and productivity growth. To this purpose, the research activity will consist of both theoretical models and empirical analyses, the results of which should be able to inform the policy design process. We shall distinguish between public and private demand for both final and intermediate goods and services and will analyze their effects on the generation, diffusion and exploitation of technological knowledge by articulating the research activity on different dimensions (regional, sectoral and institutional). The research activity will be conducted by pursuing a great deal of multidisciplinarity and combining a number of diverse methodologies. The results of the analyses will in turn provide the basis upon which a taxonomy of demand-oriented technology policies may be elaborated.'
The world economy is based on creating, evaluating and trading knowledge. Decision makers can now find a solid platform for creating innovative European policy.
Funded by the EU, the project 'Policy incentives for the creation of knowledge: Methods and evidence' (http://pick-me.carloalberto.org/index.php (PICK-ME)) assessed current economic policy. The project was intent on fostering knowledge generation and exploitation on measures surrounding the economy of Europe.
Researchers looked for patterns in the impact of market demand and public procurement. An economic and social understanding of the European innovation system and its drivers is crucial to identify effective consensual innovation policies. It is important to attain a deep understanding of national innovation ecosystems. By studying other nations, European innovation policies will be more innovative, more effective at impacting national policy, and better designed for the whole of Europe.
The project's research suggests that policy measures should be designed to stimulate labour mobility across related industries. Demand will actually pull the generation and adoption of new technological solutions only when and if the customers are sufficiently creative and their demand is consequently competent. But even if competent, demand alone is inactive unless accompanied by insightful user-producer interactions.
Policy should support attracting valuable individuals with distinctive skills that are linked to local demand conditions. The evidence advocates design of policy options that are aimed at tackling structural weaknesses, especially in peripheral regions, to favour retaining these valuable resources. At the same time, they should strengthen local capabilities by taking advantage of local skills and competencies. Also, policy should support upgrading of local capabilities and attract knowledgeable individuals.
The research validates targeting local firms. The aim is to increase local capability for absorbing and exploiting external sources of information through effective linkages with other co-located actors. It is important to create incentives for large multinational firms to locate in the periphery and work towards increasing the industrial variety in peripheral regions.
Policy must support older individuals for retraining and career change in order to increase their chances for reintegration into the labour market. The smart approach is to upgrade human capital in line with demand and link higher education programmes to industries and specialisations for which demand exists. Evidence also substantiates promoting long-term investment in technological education, which is vital for the survival and fortification of the high-technology industry.
All of these goals in the light of existing specialisations are crucial steps towards better economic performance. This project's outcomes add value to the shaping of policy measures and foster knowledge generation and exploitation.