Title:
A Systematic Technology Forecasting Approach for New and Emerging Science and Technology: Case Study of Nano-Enhanced Biosensors

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Guo, Ying
Huang, Lu
Porter, Alan L.
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Abstract
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.
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Beijing Institute of Technology
Date Issued
2009-10-02
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