The study of foresight methodology has traditionally focused on the anticipation and development of future scenarios. It is somewhat surprising that, despite the impact that the advice generated with foresight may have had on Research and Innovation(R&I) policy action, the analysis of the process whereby foresight actually creates policy recommendations has so far been ignored in the literature. This thesis explores this process, trying to identify those elements that have a greater influence in the final advice characteristics. The research draws on the study of two European cases, which are analysed with very different methods. The first case is addressed with critical discourse analysis, which constitutes a methodological innovation in the area of foresight evaluation. The second case is explored through action research, which facilitated an in-depth examination of the foresight process and an exhaustive tracking of the activities that gave rise to the final recommendations. In both cases special attention is paid to the role and utility of future anticipation. The combination of these methods helped in understanding: the effect that repositioning advisors’ mindsets in highly transformed futures has in the volume and originality of the insights generated, the importance of achieving a balanced representation of the R&I actors in the discussion groups, and the relevance that argumentation has in the formation of final advice. Understanding these factors would contribute to improve the quality and consistency of foresight advice discourses, thus augmenting their possibilities for acceptance and implementation by policy makers.
Date of Award | 1 Aug 2018 |
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Original language | English |
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Awarding Institution | - The University of Manchester
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Supervisor | Rafael Popper Villarroel (Supervisor) |
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- VISIONS
- CREATIVITY
- DISCOURSE
- ERA
- FUTURE
- SCENARIOS
- INNOVATION
- ADVICE
- FORESIGHT
UNDERSTANDING THE GENERATION OF RESEARCH AND INNOVATION POLICY ADVICE WITH FORESIGHT PROCESSES
Velasco Martinez, G. (Author). 1 Aug 2018
Student thesis: Phd