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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.
Thomas A. Tamblyn, Edward A. Cederborg
Nuclear Technology | Volume 25 | Number 4 | April 1975 | Pages 598-606
Technical Paper | Reactor Siting | doi.org/10.13182/NT75-A16115
Articles are hosted by Taylor and Francis Online.
Since passage of the National Environmental Policy Act of 1969, power plant siting procedures have undergone extensive change. The “environmental assessment matrix” was developed for use as an active tool in an ongoing nuclear power plant siting study. Its use is not intended to eliminate engineering judgment and ingenuity from the plant siting process, but rather to document the procedures used and conclusions drawn. When used in an iterative manner during a site-selection study, the environmental assess ment matrix provides valuable insight into a complex evaluation problem, documentation of the logic used, and a graphic display that can be used for presentation at open meetings.