A systematic technology forecasting approach for new and emerging science and technology: Case study of nano-enhanced biosensors
Title: | A systematic technology forecasting approach for new and emerging science and technology: Case study of nano-enhanced biosensors |
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Format: | Conference |
Publication Date: | December 2009 |
Description: | This paper addresses the topic of anticipating likely development paths for a particular "New and Emerging Science & Technology" (NES&T). Characteristics of NES&T --technological uncertainty and contextual dynamics -- pose challenges for technology management and forecasting practices. Researchers, technologists, R&D managers, staff in funding agencies and policy makers "need to know" future prospects. This requires better ways to capture NES&T development patterns, within their socio-economic context, as well as likely innovation opportunities. A new technology forecasting framework for NES&Ts is presented, supported by a case study of nano-enhanced biosensors. |
Ivan Allen College Contributors: | |
Citation: | DOI 10.1109/ACSIP.2009.5367839. |
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