To Be Announced
Uncertainty Quantification (UQ) integrates the output of (typically large-scale) computation with experimental/observational data for the purpose of drawing inferences and making predictions. UQ provides a crucial measure of confidence to these predictions and, as such, has become paramount to simulation science. As simulation science has become an integral part of the decision making process, the quantification of uncertainty has become even more important.
Over the past decade, UQ has played an increasingly more central role in NNSA’s stockpile stewardship mission, as well as other national security missions. UQ is also playing an increasingly more prominent role in a wide variety of scientific application areas including engineering, manufacturing, climate change, nuclear energy, and high-energy physics. Currently, the UQ community is not very cohesive. Its constituents work in national laboratories, industry, and academia. Their research areas include mathematics, statistics, information science, computer and computational science, as well as a wide variety of application specific disciplines such as physics, engineering, material science, biology, and public health. We feel there may be a substantial benefit to be had by improving communication and collaboration within this broad area.
This workshop has two main goals.
From workshop activity, a roadmap will be produced which details priorities and opportunities for UQ. In addition, articles on current research activity are invited to be submitted to Uncertainty Quantification – a recently established journal. We expect the roadmap, after suitable reviewing, will be published in this journal.
Dave Higdon, Los Alamos National Laboratory
Roger Ghanem, University of Southern California
Frank Alexander, Los Alamos National Laboratory
Mark Anderson, Los Alamos National Laboratory
Adam Shipman
conferences@cnls.lanl.gov
505-664-0187
Sponsored by: