NSF. Uncertainty Quantification Workshop 2011

USA/South America Symposium on Stochastic Modeling and Uncertanity Quantification Leblon Beach, Rio de Janeiro, Brazil, August 1-5, 2011

This NSF-sponsored symposium embraces emerging topics on Uncertainty Quantification (UQ) applied to Predictive Engineering and Sciences. It aims at fostering research collaboration between North American and South American groups (mainly Brazilian but also with participation from Argentina and Chile). Additional generous financial support is provided from Begell House Inc. Publishers and the Int. J for Uncertainty Quantification, CAPES, COPPE/UFRJ, PUC Rio, Laboratório Nacional de Computação Científica (LNCC), CNPq, Schlumberger Brazil Research & Geoengineering Center (BRGC) and Petrobras. The symposium will consist of a number of tutorial lectures emphasizing stochastic and statistical aspects of uncertainty quantification, approximately 35 invited presentations and sufficient free time for connections, interactions and potential collaborations. The tutorials will be very helpful for young researchers to understand the fundamental mathematical and statistical aspects of uncertainty quantification, establish a common knowledge basis for all participants and provide an exposure to major engineering areas where uncertainty plays a key role in analysis and design. The format of the meeting is designed to stimulate intensive scientific discussions targeting emerging uncertainty quantification areas and problems of fundamental and technological relevance. Industrial specialists are invited aiming at exposing their own needs and perspectives on related subjects. The main themes of the symposiumm are stochastic and statistical modeling of complex systems with emphasis on Solution of High-Dimensional Stochastic PDEs Model Reduction of Stochastic PDEs Information Theoretic Approaches to Stochastic Multiscale/Multiphysics Modeling Bayesian Inference, Predictive Modeling and Model Selection Inference in Probabilistic Graphical Models of Complex Engineering Systems Applications in Science and Engineering