Uncertainty Quantification for Computational Models

The UNEQUIvOCAL thematic track is organized as a part of the International Conference on Computational Science ICCS 2022 that will be held in London, United Kingdom from 21 to 23 June 2022.

This will be the third edition of the UNEQUIvOCAL thematic track. In 2021, the thematic track was part of the online ICCS 2021. The 2020 edition was a part of the online conference on Multiscale Modelling, Uncertainty Quantification and the Reliability of Computer Simulations. The recordings of day one and day two of the conference are available.


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 of 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 inadequacy;
  • 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

Paper submission: February 15 2022
Notification to authors: 21 March 2022
Camera-ready papers: 11 April 2022
Author registration: 21 March – 11 April 2022
Non-author registration (in-person): 21 March – 20 May 2022
Non-author registration (online): 21 March – 10 June 2022
International Conference on Computational Science: 21-23 June 2022


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

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
Federica Gugole, Centrum Wiskunde & Informatica, Netherlands
Laura Lyman, Stanford University, USA
Anna NikishovaDecidia Research & Consulting, Germany
Dongwei Ye, University of Amsterdam, Netherlands

Organisation committee

Wouter Edeling, Wouter.Edeling@CWI.nl, Centrum Wiskunde & Informatica, Netherlands
Anna Nikishova, Anna@DecidiaRC.com, Decidia Research & Consulting, Germany
Peter Coveney, P.V.Coveney@UCL.ac.uk, University College London, England