In this project, we explore perceptions of the social and ethical implications of nanotechnology among US scientists who work at the nanoscale, and develop and pilot test an online training module to foster consideration of social and ethical implications in the lab. To meet our first goal, we drew qualitative insights from open-ended survey data collected from scientists affiliated with the National Nanotechnology Infrastructure Network. Our data suggest that while the survey participants responded positively to the idea that consideration of (...) SEI should be a part of the work they do, there was confusion about whether SEI refers to lab safety, research integrity, or something more. This is something we sought to address in the online training module that we developed based on that qualitative data and on feedback collected from experts in nanoethics and lab management. We then pilot tested the module with undergraduate students studying nanotechnology in the National Science Foundation’s Research Experiences for Undergraduates program and with scientists registered to use a National Nanotechnology Coordinated Infrastructure-funded microelectronics research lab. The undergraduate data suggested that students appreciated the SEI training but wished professors and scientists would begin integrating the ideas therein into coursework and mentoring. The scientist data suggested that the module increased understanding of “social and ethical implications,” increased the perceived need to implement SEI into workplace routines, and, interestingly, heightened perceptions of risk associated with the scientists’ own work. The practical and theoretical implications of this work are discussed. (shrink)

Discussions about the appropriate way of assessing and managing new or emerging technologies—like nanomaterials—expose the problematic relationship between scientific knowledge production and regulatory decision-making. On one hand, there is a strong demand for scientific expertise to support decisions, especially by analyzing risks and hazards when uncertainties are prevalent and society’s stakes are high. On the other hand, science is criticized for its authoritative claim to objectivity and for keeping the inherent uncertainty, ambiguity, and selectivity of scientific observation latent. Requests for (...) more transparency in science can lead to revealing, to risk managers and the public, the indeterminacy in knowledge production processes. This has consequences for the prevalence of scientific knowledge in decision-making, because it increases uncertainty on both sides of the breach between science and decisions: scientists lose confidence regarding the scientifically tested knowledge which they pass on, and risk managers lose confidence regarding their decisions based on this knowledge. Nonetheless, the concept of “probabilistic risk assessment” remains an important heuristic for dealing with potential future events. This paper addresses questions of the function of scientific risk assessment in organized risk management. The main argument in this paper is that knowledge alone no longer functions as a mechanism for absorbing uncertainty. Accordingly, the interaction between science and decisions must enable a temporarily stable commitment to manage new threats like products and applications coming from the field of nanoscience and nanomaterials. (shrink)