Social science and infrastructure networks and the human–technology interface

Social science research (under the guise of SEI [societal and ethical implications]) in association with nanotechnology infrastructure networks (in this case, the Research Triangle Nanotechnology Network) is challenging due to the unique function of an infrastructure network. Infrastructure networks share laboratory resources and make available to the user in the early stages in the technological process. As such, characterization and fabrication activities demand fine-tuned social science tools appropriate to the subject instant. This article examines the application of a process of “deep assessment” akin to grounded theory that examines a subset of societal and ethical issues derived from assessing activities proximate to users as they interface with the network. It presents assessment data over the last 5 years that is being used to design the research questions and research hypotheses that answer some of the most important societal concerns of the infrastructure network. These highly valued SEI activities are contextually relevant to the operation and management of the facilities in the infrastructure.

Duke Scholars

Author Nan Marie Jokerst Electrical and Computer Engineering