Uncertainty Quantification for Computational Models

The UNEQUIvOCAL thematic track is organized during the International Conference on Computational Science ICCS 2020 in Amsterdam, The Netherlands, June 3 – June 5, 2020.

About

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. In order to build confidence in their results, it is therefore crucial that these models carry their own measure of uncertainty, especially when they are extrapolated beyond the domain in which they were originally calibrated. Also, the oncoming Exascale Computing resources will open up the possibility of solving problems with increased complexity and computational burden, exacerbating the importance (and demands) of reliable uncertainty quantification methods. This thematic track aims to attract research that focuses on new methods, which outperform existing techniques, as well as uncertainty quantification applications to complex problems.

Topics of interest

  • Forward and inverse uncertainty quantification;
  • Model inadequancy;
  • Sensitivity analysis;
  • Dimension reduction;
  • Surrogate modelling (including machine-learning techniques and reduced-order modelling);
  • Case studies showing efficient uncertainty quantification methods;
  • Software for uncertainty quantification.

Important dates

Full papers submission: December 13, 2019
Notification of acceptance of papers: January 24, 2020
Camera-ready papers: February 28, 2020
Early registration opens: January 24, 2020
Early registration closes: February 28, 2020

Papers

Full papers

Papers can be submitted through the ICCS EasyChair system following the link, where you can select the Uncertainty Quantification for Computational Models as your target thematic track. The manuscripts should be no longer than 14 pages, written in English according to the Procedia format. (Templates can be downloaded from the link.)

High-quality manuscripts identified by reviewers will be published by Springer in the Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers.

After the conference, selected papers will be invited for a special issue of the Journal of Computational Science (Impact Factor: 2.502).

Abstract only

While we encourage full paper submissions, the “Abstract Only” option caters to researchers who can only publish in specific journals or work for companies in circumstances such that they cannot publish at all, but still want to present their work and discuss it with their peers at ICCS. In the “Abstract Only” option, a short abstract is published in a book of abstracts, but not in LNCS.

Program and Organisation committee

Program committee

Alfons Hoekstra, University of Amsterdam, Netherlands
Anna Nikishova, University of Amsterdam, Netherlands
Dongwei Ye, University of Amsterdam, Netherlands
Paola Cinnella, Ecole Nationale Supérieure d’Arts et Métiers, France
Peter Coveney, University College London, England
Richard Dwight, Delft University of Technology, Netherlands
Wouter Edeling, Centrum Wiskunde & Informatica, Netherlands
Xavier Merle, Ecole Nationale Supérieure d’Arts et Métiers, France

Organisation committee

Wouter Edeling, Wouter.Edeling@CWI.nl, Centrum Wiskunde & Informatica, Netherlands
Anna Nikishova, A.Nikishova@UvA.nl, University of Amsterdam, Netherlands
Peter Coveney, P.V.Coveney@UCL.ac.uk, University College London, England