SIAM Conference on Uncertainty Quantification (UQ22)

About the Conference

This is the conference of the SIAM Activity Group on Uncertainty Quantification.

This conference is being held in cooperation with the American Statistical Association (ASA) and GAMM Activity Group on Uncertainty Quantification (GAMM AG UQ).

Uncertainty quantification (UQ) is essential for establishing the predictive accuracy of computational models for essentially all fields of science and engineering. The recent pandemic has highlighted the importance of quantifying uncertainty when working with potentially inaccurate models and insufficient data. UQ is an inherently interdisciplinary field based on a broad range of mathematical and statistical foundational topics and associated algorithmic and computational developments. UQ22 will bring together mathematicians, statisticians, scientists, and engineers interested in the theory, development, and implementation of UQ methods. Whereas a broad range of topics will be represented, major conference themes will include mathematical and statistical foundations of UQ, model-informed and data-driven UQ approaches, and applications of UQ in the biological, medical, climate, and physical sciences. The goal of the conference is to provide a forum for exchanging ideas between diverse groups from academia, industry, and government laboratories, thereby enhancing communication and contributing to future advances in the field.

Organizing Committee Co-Chairs

Daniela Calvetti, Case Western Reserve University, U.S.
Heikki Haario, Lappeenranta University of Technology, Finland
Douglas Nychka, Colorado School of Mines, U.S.

Organizing Committee

Mihai Anitescu, Argonne National Laboratory, U.S.
Derek Bingham, Simon Fraser University, Canada
Andres Christen, Centro de Investigación en Matemáticas, Mexico
Julianne Chung, Virginia Tech, U.S.
Christopher Drovandi, Queensland University of Technology, Australia
Gianluca Iaccarino, Stanford University, U.S.
Peter Lawrence, National Center for Atmospheric Research, U.S.
Jessica Matthews, North Carolina State University, U.S.
Noémi Petra, University of California, Merced, U.S.
Stephan Sain, Jupiter Intelligence, U.S.
Sebastian Reich, Universität Potsdam, Germany
Tanja Tarvainen, University of Eastern Finland, Finland

Funding Agency