Conference on Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations – Online Format

VECMA will be holding an online conference on 11th – 12th June 2020, themed on “Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations”. The conference is available to everyone, free of charge.

The conference is a combination of three prior events; one from the SIAM Conference on Uncertainty Quantification (UQ20), and the other two from the International Conference on Computational Science (ICCS) 2020. With the three events cancelled due to the global pandemic, the virtual Conference now fulfils their combined purpose.

Attendees will be able to hear presentations on the following themes:

  1. Tools for enabling Verification, Validation and Uncertainty Quantification (VVUQ) in multiscale simulations and workflows
  2. Multiscale Modelling and Simulation (MMS)
  3. Uncertainty Quantification for Computational Models (UNEQUIvOCAL)

The VVUQ section from SIAM UQ20 features multiscale simulations and workflows. There have been challenges in data-science and numerical simulation moving toward a workflow-based approach for complex multiscale or multiphysics problems, which fits the many-tasks paradigm followed by HPC centres on the path to exascale. To tackle the challenges, the VECMA project has been developing the VVUQ Toolkit that has several tools both generic and domain specific) in order to support scientists in designing, implementing and running their complex simulations and workflows efficiently on HPC systems.

The MMS section is born of the well-established, now 17th edition, workshop from ICCS 2020. Presentations will cover the modelling and simulation of multiscale systems, which constitutes a grand challenge in computational science and is widely applied in fields ranging from the physical sciences and engineering to the life sciences and socio-economic domains.

The UNEQUIvOCAL section from ICCS 2020 reports up to date research in uncertainty quantification for computational models. Given that uncertainty is unavoidable in almost all scientific fields, due to e.g. unknown parameters or simplifying modelling assumptions, uncertainty quantification is an indispensable part in state-of-the-art computational models.

For more detailed information about the conference, follow this link:

The conference is a two-day online event, and is available to register now, free of charge: