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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
2027 ANS Winter Conference and Expo
October 31–November 4, 2027
Washington, DC|The Westin Washington, DC Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Disney World should have gone nuclear
There is extra significance to the American Nuclear Society holding its annual meeting in Orlando, Florida, this past week. That’s because in 1967, the state of Florida passed a law allowing Disney World to build a nuclear power plant.
Educational Session|Panel|Sponsored by Performance Improvement
Tuesday, August 11, 2020|12:00–1:30PM EDT
Session Organizers:
Fred Lake (WD Associates)
Kevin Rackley (TVA/CAPOG)
Knowledge Manager:
Sudipta Saha (Univ. of South Carolina)
This session provides a forum for discussion of fundamental principles that make complex data more understandable, usable, and accessible so that station leaders can more effectively communicate performance gaps and make better informed decisions for the organization. A framework, currently in use at one organization, will provide the basis of a discussion on key attributes to support a deliberate, step-by-step approach that helps measure what matters in a more efficient and more engaging manner. The intent of this session is to lay the foundation for future work on exploring the value of using AI/Machine Learning to improve data analytics and visualization.
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Session Notes
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