Forecasting Innovation Pathways (FIP) for new and emerging science and technologies

Abstract : "New" and "Emerging Science" and "Technologies" ("NESTs") have tremendous innovation potential. However this must be weighed against enormous uncertainties caused by many unknowns. The authors of this paper offer a framework to analyze NESTs to help ascertain likely innovation pathways.We have devised a 10-step framework based on extensive Future-oriented Technology Analyses ("FTA") experience, enriched by in-depth case analyses. In the paper, we describe our analytical activities in two case studies. The nanobiosensor experience is contrasted with that of deep brain stimulation in relative quantitative and qualitative emphases.We close the paper by reflecting on this systematic FTA framework for emerging science and technologies, for its intended goal, that is to support decision making.
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Soumis le : vendredi 3 octobre 2014 - 10:27:24
Dernière modification le : mercredi 31 juillet 2019 - 15:24:16


  • HAL Id : hal-01071140, version 1


D.K. Robinson, Lu Huang, Ying Guo, Alan L. Porter. Forecasting Innovation Pathways (FIP) for new and emerging science and technologies. Technological Forecasting and Social Change, Elsevier, 2013, pp.267-285. ⟨hal-01071140⟩



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