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Published September 23, 2020 | Version v1
Journal article

Social science and infrastructure networks and the human–technology interface

  • 1. NCSU. Department of Communication (United States)
  • 2. Pennsylvania State University. Donald P. Bellisario College of Communications (United States)
  • 3. NCSU. Department of Materials Science and Engineering (United States)
  • 4. Duke University. Department of Electrical and Computer Engineering (United States)

Description

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.

Additional details

Identifiers

Publishing Information

Journal Title
Journal of Nanoparticle Research
Journal Volume
22
Journal Issue
9
Journal Page Range
vp.
ISSN
1388-0764

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55071035
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S77: NANOSCIENCE AND NANOTECHNOLOGY;
Descriptors DEI
COMPUTER NETWORKS; E-LEARNING; ENGINEERING; FUNCTIONS; HUMAN FACTORS; INTERFACES; LOCAL AREA NETWORKS; MANAGEMENT; NANOTECHNOLOGY; OPERATION; TOOLS
Descriptors DEC
COMPUTER NETWORKS; EDUCATION; EQUIPMENT; LEARNING; TRAINING

Optional Information

Copyright
Copyright (c) 2020 © Springer Nature B.V. 2020