Improving Distributed Intelligence in Complex Innovation Systems

Stefan Kuhlmann, Patries Boekholt, Luke Georghiou, Ken Guy, Jean-Alain Héraud (), Philippe Laredo, Tarmo Lemola, Denis Loveridge, Terttu Luukkonen, António Brandão Moniz (), Wolfgang Polt, Arie Rip, Sanz-Menendez, Luis and Ruud Smits

MPRA Paper from University Library of Munich, Germany

Abstract: Science and technology (S&T) are considered to be a central source, or at least a basic medium, of societal and industrial innovation, while innovation is conceived to basically feed the regeneration of our welfare. The suppliers of S&T in Europe as well as the users of their „products“, are confronted with a number of challenges today. We want to stress here that it was not the primary goal of our Advanced Science & Technology Policy Planning (ASTPP) Network to come up with proposals how the strategic character of European S&T policies could be strengthened. The ASTPP-network instead focuses on one aspect: the provision of strategic intelligence necessary to identify and develop strategic choices. The underlying hypothesis is that the existing body of experiences with technology foresight, technology assessment and S/T policy evaluation provides a basis for the development of an advanced S&T policy „planning“ approach by trying to enhance, interlink or even integrate the growing, but still dispersed experience in these three areas of intelligence. By „intelligent“ we mean that the inter-relatedness of S&T, industrial efforts, societal needs and political interventions becomes more transparent so that interactive collaboration between them will be facilitated.

Keywords: innovation; Technology Policy; technology foresight; assessment; evaluation (search for similar items in EconPapers)
JEL-codes: C53 O38 O32 D00 E61 (search for similar items in EconPapers)
Date: 1999-06, Revised 1999-05
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