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May 31–June 3, 2026
Denver, CO|Sheraton Denver
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On moving fast and breaking things
Craig Piercycpiercy@ans.org
So much of what is happening in federal nuclear policy these days seems driven by a common approach popularized in the technology sector. Silicon Valley calls it “move fast and break things,” a phrase originally associated with Facebook’s early culture under Mark Zuckerberg. The idea emerged in the early 2000s as software companies discovered that rapid iteration, frequent experimentation, and a willingness to tolerate failure could dramatically accelerate innovation. This philosophy helped drive the growth of the social media, smartphones, cloud computing, and digital platforms that now underpin modern economic and social life.
Today, that mindset is also influencing federal nuclear policy. The Trump administration views accelerated nuclear deployment as part of a broader competition with China for technological and AI leadership. In that context, it seems willing to accept greater operational risk in pursuit of strategic advantage and long-term economic and security objectives.
18th International Probabilistic Safety Assessment and Analysis (PSA 2023)
Technical Session|PSA Student Competition
Monday, July 17, 2023|3:15–5:00PM EDT|300C
Session Chairs:
Xingang Zhao
Mihai A. Diaconeasa (NCSU)
Session Organizers:
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Study on Evacuation Time Estimation Using Agent-Based Modeling
3:15–3:40PM EDT
Geon Kim (Kyung Hee Univ.), Gibeom Kim (KAERI), Gyunyoung Heo (Kyung Hee Univ.)
Paper
Presentation Slides (Visible to Attendees)
Time-Dependent Fragility Curves for SSCs: Incorporating Seismic Aftershocks in Multi-Hazard PRA
3:40–4:05PM EDT
Akram S. Batikh (NCSU), Somayajulu L. N. Dhulipala (INL), Benjamin W. Spencer (INL), Albert Dahal (INL), Mihai A. Diaconeasa (NCSU)
A Hybrid, Bayesian Network-Based PRA Methodology for External Flood Probabilistic Risk Assessments at Nuclear Power Plants
4:05–4:30PM EDT
Joy Shen (Univ. Maryland, College Park), Constantinos Frantzis (Univ. Maryland, College Park), Saman Marandi (Univ. Maryland, College Park), Michelle Bensi (Univ. Maryland, College Park), Mohammad Modarres (Univ. Maryland, College Park)
Assessment of Uncertainty Associated with Tropical Cyclone Forecasts to Support Probabilistic Risk Assessments for Nuclear Power Plants
4:30–4:55PM EDT
Kaveh Faraji Najarkolaie (Univ. Maryland, College Park), Michelle Bensi (Univ. Maryland, College Park), Zhegang Ma (INL)
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