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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.
John B. Burnham, Stanley M. Nealey, William S. Maynard
Nuclear Technology | Volume 25 | Number 4 | April 1975 | Pages 675-681
Technical Paper | Reactor Siting | doi.org/10.13182/NT75-A16125
Articles are hosted by Taylor and Francis Online.
A methodology was developed for environmental decision making that combines societal and technical judgments. Eight factors that characterized the major economic and environmental impacts of nuclear power plant sitings were identified. These factors were used to construct “mini-environmental impact statements” for six siting alternatives. The impact statements formed the core of a survey questionnaire administered to three groups of respondents. Data analysis produced estimates of the relative importance of each factor. A procedure is described for using these estimates of importance as weighting factors to be applied to techno-economic scores. These latter scores would be generated by technical experts and would represent the actual or anticipated impact of a plant siting upon the eight factors.