Solving problems with uncertainties | ICCS 2020 Workshop
03 Jun 2020
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3 - 5 Jun 2020 | This workshop at ICCS 2020 will investigate methods and algorithms for quantifying and solving problems with uncertainties.

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The 8th SPU Workshop is part of the International Conference in Computational Science (ICCS ​2020), which will be held 3-5 June 2020 in Amsterdam, Netherlands. The theme for ICCS 2020 is “20 Years of Computational Science”. ICCS is an ERA A-ranked conference series. Vassil Alexandrov, Chief Science Officer at the STFC Hartree Centre, will co-chair the workshop alongside Aneta Kartaivanova, IICT, Bulgarian Academy of Sciences​.

Problems with uncertainty need to be tackled in an increasing variety of areas, from physics, chemistry, engineering, computational biology and environmental sciences to decision making in economics and social sciences. Uncertainty is unavoidable in almost all systems analysis, risk analysis, decision making and modelling and simulation. How uncertainty is handled and quantified shapes the integrity of the analysis, and the correctness and credibility of the solution and the results.

With the advent of exascale computing, big data analytics and scalable AI, larger and larger problems - often requiring hybrid approaches - have to be tackled in a systematic way at scale. The problem of solving such problems with uncertainties and quantifying the uncertainties becomes even more important due to the variety and scale of uncertainties in such problems.

The focus of the workshop will be on methods and algorithms for solving problems with uncertainties, stochastic methods and algorithms for solving problems with uncertainties, methods and algorithms for quantifying uncertainties such as dealing with data input and missing data, sensitivity analysis (local and global), dealing with model inadequacy, model validation and averaging, software fault-tolerance and resilience and more.

Submit and present your work

The workshop is inviting submissions for strategic, short and full papers presenting Domain Applications and Case Studies in the context of the computational science, high performance computing (HPC), big data analytics and artificial intelligence (AI) ecosystems. The area of interest includes but is not limited to the following topics:

  • methods and algorithms for solving problems with uncertainties
    • stochastic and hybrid (stochastic/deterministic) methods and algorithms for solving problems with uncertainties
    • advanced Data Science/AI/Computational Science) methods and algorithms for solving problems with uncertainties
  • methods for quantifying uncertainties
    • quantifying uncertainties while dealing with big data 
    • quantifying uncertainties while dealing with model inadequacy, model validation etc.
  • sensitivity analysis
  • case studies showing efficient methods and approaches solving problems with uncertainties

​Important dates:

  • 7 February 2020 | Paper submission deadline
  • 12 March 2020 | Notification of acceptance
  • 2 April 2020 | Camera-ready papers
  • 12 March - 2 April 2020 | Author registration
  • 3 - 5 June 2020​ | ICCS 2020 Conference

Programme Committee:

  • Vassil Alexandrov, STFC Hartree Centre, UK (Workshop co-chair)

  • Aneta Kartaivanova, IICT, Bulgarian Academy of Sciences (Workshop co-chair)

  • Ana Cortes, UAB, Spain

  • Andrew Rau-Chaplin, University of Dalhousie, Canada

  • Svetlana Chuprina, PSU, Russia

  • Christian Engelmann, ORNL, USA

  • Andrei Tchernykh, CICESE, Mexico

  • Daniel Rodriguez, UAH, Spain

How to submit:

  1. Prepare the manuscripts in Springer Lecture Notes in Computer Science (LNCS) format (no more than 14 pages).

  2. Log in to ICCS 2020 submission site in EasyChair

  3. You will need to create an account if you do not have an existing account in EasyChair.

  4. Specify the workshop name as SPU’2020 - Solving Problems with Uncertainties

Authors are invited to submit manuscripts describing original, unpublished research and recent developments as well as position and strategic papers in the remit of the workshop.

All accepted papers will be included in the Springer 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 submitted paper must be camera-ready and formatted according to the rules of Springer Lecture Notes in Computer Science (LNCS), not exceeding 14 pages for full papers and 7 pages for short papers. Submission implies the willingness of at least one of the authors to register and present the paper.

Papers must be based on unpublished original work and must be submitted to ICCS 2020 only.

After the conf​erence, selected papers will be invited for a special issue of the Journal of Computational Science.

We look forward to seeing you at ICCS 2020!​

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