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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.
Raymond D. Cooper
Nuclear Technology | Volume 27 | Number 1 | September 1975 | Pages 166-173
Technical Paper | Education | doi.org/10.13182/NT75-A15954
Articles are hosted by Taylor and Francis Online.
Since public understanding of the environmental consequences of new technologies is needed for informed decision-making, it is necessary to find a more effective alternative to the massive environmental statements that have been the result of pressure from the courts and from the opponents. A simplified conceptual framework for assessing the environmental impacts of a new energy system should include the benefits to be derived from the technology, the internal and external costs to man and to society, and a comparison with other alternatives. The first step in making such an analysis for breeder reactors is to define the need for a breeder system, the desired effects of the technology, and the probability of success and timing of the developments. The heart of the assessment is the estimation of the external costs including impacts on human health, on human environment, and on the social system. The final step is that of comparing the impacts of breeders with the impacts of alternatives and putting these into perspective with other risks and environmental costs for public understanding.