“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.
%0 Journal Article
%1 Robinson2013267
%A Robinson, Douglas K.R.
%A Huang, Lu
%A Guo, Ying
%A Porter, Alan L.
%D 2013
%J Technological Forecasting and Social Change
%K FIP Forecasting Innovation
%N 2
%P 267 - 285
%R http://dx.doi.org/10.1016/j.techfore.2011.06.004
%T Forecasting Innovation Pathways (FIP) for new and emerging science and technologies
%U http://www.sciencedirect.com/science/article/pii/S0040162511001284
%V 80
%X “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.
@article{Robinson2013267,
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. },
added-at = {2014-12-30T18:12:35.000+0100},
author = {Robinson, Douglas K.R. and Huang, Lu and Guo, Ying and Porter, Alan L.},
biburl = {https://www.bibsonomy.org/bibtex/2483ff71f56b2f6fbb1f971698b1d667e/ab.mosayyebi},
doi = {http://dx.doi.org/10.1016/j.techfore.2011.06.004},
interhash = {e3f7e1d2b0628d147ae379ac4f6c0404},
intrahash = {483ff71f56b2f6fbb1f971698b1d667e},
issn = {0040-1625},
journal = {Technological Forecasting and Social Change },
keywords = {FIP Forecasting Innovation},
note = {World problems, Emerging technologies and Creative Enterprise },
number = 2,
pages = {267 - 285},
timestamp = {2015-01-01T05:34:50.000+0100},
title = {Forecasting Innovation Pathways (FIP) for new and emerging science and technologies },
url = {http://www.sciencedirect.com/science/article/pii/S0040162511001284},
volume = 80,
year = 2013
}