Conference Center GALILEO Garching

Welcome to SIAM UQ20 in Garching!

Uncertainty quantification (UQ) is essential for providing informative computational predictions in many branches of science and engineering. It is an interdisciplinary field built on a broad range of mathematical and statistical foundational topics, and associated algorithmic and computational developments. UQ20 will bring together mathematicians, statisticians, scientists, and engineers with an interest in the theory, development and implementation of UQ methods. While many topics will be represented, major conference themes will include the mathematical and statistical foundations of UQ, connections between physics-informed and data-driven UQ approaches and applications of UQ in the biosciences and climate science. The goal of the meeting is to provide a forum for the fruitful exchange of ideas between diverse groups of technical experts from academia and industry, thereby enhancing communication and contributing to future advances in the field.

This conference

  • is sponsored by the SIAM Activity Group on Uncertainty Quantification (SIAG/UQ).
  • is being held in cooperation with the  GAMM Activity Group on Uncertainty Quantification (GAMM AG UQ) and the American Statistical Association (ASA).
Helping hands required

We need student assistants to help with the local organization of the Conference at the Garching Campus of TUM. Interested? Register here!

Statement on Inclusiveness

As a professional society, SIAM is committed to providing an inclusive climate that encourages the open expression and exchange of ideas, that is free from all forms of discrimination, harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that commitment, SIAM is dedicated to the philosophy of equality of opportunity and treatment for all participants regardless of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, veteran status, field of expertise, or any other reason not related to scientific merit. This philosophy extends from SIAM conferences, to its publications, and to its governing structures and bodies. We expect all members of SIAM and participants in SIAM activities to work towards this commitment.