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Argonne: Where AI research meets education and training
Last September, in the Chicago suburb of Lemont, Ill., Argonne National Laboratory hosted its first AI STEM Education Summit. More than 180 educators from high schools, community colleges, and universities; STEM administrators; and experts in various disciplines convened at “One Ecosystem, Many Pathways–Building an AI-Ready STEM Workforce” to discuss how artificial intelligence is reshaping STEM-related industries, including the implications for the nuclear engineering classroom and workforce.
Friedrich Niehaus, Harry J. Otway
Nuclear Technology | Volume 34 | Number 3 | August 1977 | Pages 387-397
Technical Paper | Reactor Siting | doi.org/10.13182/NT77-A31803
Articles are hosted by Taylor and Francis Online.
By using an idealized model, the reduction in potential radiation risks, as a function of increasing distance between nuclear power plant and load center, was compared to the corresponding increase in power transmission costs. Based on the U.S. Nuclear Regulatory Commission guideline of $1000/man-rem, remote siting was not found to be a cost-effective risk-reduction method. However, this guideline applies only to the biological risks of radiation exposure, explicitly excluding measures of the relevant social values. It is suggested that methodologies from many disciplines can be applied within the risk assessment framework to allow the inclusion of value measures in public decisions that regulate the integration of technological and social systems.