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Science and technology roadmapping for policy intelligence: Lessons for future projects

 
: Costa, O. da; Boden, M.; Friedewald, M.

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Center for Social and Economic Strategies - CESES-, Praha:
Colloquium Designing the Future in Europe '05 and the Second Prague Workshop on Futures Studies Methodology. Proceeding
Praha: CESES, 2005
S.146-161
Colloquium Designing the Future in Europe <2005, Prague>
Prague Workshop on Futures Studies Methodology <2, 2005, Prague>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer ISI ()

Abstract
The term "Technology Roadmapping" (TRM) refers to a range of forecasting or foresight studies including visions and detailed projections of future possible technological developments, products or environments. TRM methodologies have been developed within high-tech companies and subsequently extended to consortia of companies and even to entire industrial sectors [Da Costa et al.2003].
More recently, a number of research institutes and think-tanks have made significant efforts to adapt this methodology to the provision of intelligence to support the policy-making process. In the context of rapid scientific and technological developments, it can contribute by providing the strategic intelligence needed to optimize public R&D investments and ensure their relevance to society [Da Costa et al.2003].
The aim of this paper is to reflect on the practises of science and technology roadmapping for policy intelligence, building on lessons generated by the "Science and Technology Roadmapping Project" conducted by the IPTS1 and members of the ESTO2 network during 2002 and 2003.
The IPTS/ESTO project aimed at assessing the potential of roadmapping methodologies to respond to the needs of policy-making. In addition to an overarching study to review the state of the art and develop a reliable and replicable methodology, it comprised two pilot roadmaps, centred on the development and application of science and technology to meet key socio-economic challenges:
The "Ambient Intelligence in Everyday Life" Roadmap;
"The Healthcare Technologies Roadmap: Effective Delivery of Healthcare in the Context of an Ageing Society."
Based on the results of the study, this paper will set out the main lessons and conclusions arising from the project, particularly in terms of:
- the refinement of the methodology;
- the management of the process of roadmapping, including preparation, implementation, and the validation
and diffusion of results;
- specifications for future roadmapping projects; and
- implications for other kinds of forecasting and foresight activities.

: http://publica.fraunhofer.de/dokumente/N-33834.html