Quantification of Uncertainty
QUIET 2017 - Quantification of Uncertainty: Improving Efficiency and Technology - is focused on the review of recent mathematical, numerical, methodological advances and the development of new research directions for uncertainty quantification in the setting of partial differential equations with random inputs. As such, the workshop impacts the scientific, engineering, financial, economic, environmental, social, and commercial milieus, including modern themes such as data assimilation, data science and analytics.