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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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NN Asks: What did you learn from ANS’s Nuclear 101?
Mike Harkin
When ANS first announced its new Nuclear 101 certificate course, I was excited. This felt like a course tailor-made for me, a transplant into the commercial nuclear world. I enrolled for the inaugural session held in November 2024, knowing it was going to be hard (this is nuclear power, of course)—but I had been working on ramping up my knowledge base for the past year, through both my employer and at a local college.
The course was a fast-and-furious roller-coaster ride through all the key components of the nuclear power industry, in one highly challenging week. In fact, the challenges the students experienced caught even the instructors by surprise. Thankfully, the shared intellectual stretch we students all felt helped us band together to push through to the end.
We were all impressed with the quality of the instructors, who are some of the top experts in the field. We appreciated not only their knowledge base but their support whenever someone struggled to understand a concept.
Salvatore Massaiu, Alexandra Fernandes (IFE), invited
Proceedings | Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technolgies (NPIC&HMIT 2019) | Orlando, FL, February 9-14, 2019 | Pages 122-131
The increasing digitalization of nuclear power plants’ main control rooms questions the validity of Human Reliability Analysis (HRA) estimates for tasks that were formerly performed by acquiring information on analog panels. This paper presents a re-analysis of two experiments conducted at the Halden Reactor Project that employed the micro-task method for comparing different types of digital and analogue displays. The experiments were conducted with licensed operators at a U.S. power plant training simulator and at the HAMMLAB research simulator in Norway. In the re-analysis the tasks are classified according to two HRA reference sources for human error probabilities, THERP and KAERIs’ HuREX, in order to assess (a) the operators’ reliability on identification tasks, and (b) the impact of the HSI type (digital displays vs. analogue panels). The results show that error-rates for decontextualized micro-tasks are much higher than HRA estimates for the corresponding tasks in average industrial conditions. The advantage of the analog panels over the digital displays was small and not statistically significant, despite the experimental set-up that benefitted the familiar panels. Error rate differences between task types are larger than the differences attributable to the HSI type. Finally, the observed error rates relative differences across tasks are fairly consistent with THERP reference values but not with KAERIs. The results stress the importance of task modelling above HSI concerns, and the risk of overestimating the reliability of apparently easy tasks.
