A systematic technology forecasting approach for New and Emerging Science and Technology: Case study of nano-enhanced biosensors

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.