QUIET 2017 - Quantification of Uncertainty: Improving Efficiency and Technology - is focused on the review of recent algorithmic and mathematical 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.
The workshop focuses on the among most promising approaches for near-future improvements in the way uncertainty quantification problems in the partial differential equation setting are solved. Expected outcomes of the workshop include:
The central of objectives of the workshop are to gather together both senior and junior researchers:
To maximize the probability of success in meeting these objectives and to therefore have maximum impact on the UQ community, the workshop will focus on problems with a high number of random parameters and on specific avenues that have recently shown considerable promise. Specifically,
The workshop will be of 3.5 days; each day will be dedicated to one of the four workshop themes above. There will be 10 talks per day (by invitation only) given by 5 senior and 5 junior speakers. The applications-session will be on the last day and it will have 5 senior speakers only. Each day will end with a discussion session where participants will review the talks of the day and discuss what are the most important research directions that should be pursued in the future.
Also, there will be a poster session open to students and early postdocs (<2 years from PhD). Abstract submission for poster session is now closed.