Precaution as a Risk in Data Gaps and Sustainable Nanotechnology Decision Support Systems: a Case Study of Nano-Enabled Textiles Production

Abstract

In light of the potential long-term societal and economic benefits of novel nano-enabled products, there is an evident need for research and development to focus on closing the gap in nano-materials (NMs) safety. Concurrent reflection on the impact of decision-making tools, which may lack the capability to assist sophisticated judgements around the risks and benefits of the introduction of novel products (or pilot production lines), is essential. This paper addresses the potential for extant decision support tools to default to a precautionary principle position in the face of uncertainty. A more utilitarian-based approach could be facilitated by adding simple methods to formulate realistic hypotheses, which would assist non-specialists to make more nuanced decisions in terms of managing the risks of introducing new NMs. A decision support analytical framework is applied to identify the potential risks and benefits of novel nano-enabled products such as textiles with in-built enhanced antimicrobial activity for the prevention of nosocomial infections produced by spray or sonochemical coating possesses. While the results demonstrate valuable societal and environmental benefits compared to conventional products, due to uncertainty regarding the possible hazard to humans, sizable risks were identified in some cases due to the precautionary principle.