Problems with uncertainty need to be tackled in an increasing variety of areas ranging from problems in physics, chemistry, engineering, computational biology and environmental sciences to decision making in economics and social sciences. Uncertainty is unavoidable in almost all systems analysis, in risk analysis, in 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 larger and larger problems have to be tackled in a systematic way and 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 uncertainty, 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, etc.
The workshop solicits strategic and full papers presenting Domain Applications and Case studies in the context of the Computational Science/ HPC ecosystem covering but not limited to the following topics:
methods and algorithms for solving problems with uncertainties
stochastic methods and algorithms for solving problems with uncertainty
hybrid (stochastic/deterministic) 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:
Paper submission deadline: January 31th, 2017
Notification of acceptance: February 28, 2017
Program Committee:
Vassil Alexandrov, ICREA-BSC, Spain (Workshop Chair)
Ana Cortes, UAB, Spain
Andrew Rau-Chaplin, University of Dalhousie, Canada
Aneta Karaivanova, IICT, Bulgaria
Christian Engelmann, ORNL, USA
Andrei Tchernykh, CICESE, Mexico
Daniel Rodriguez, UAH, Spain
How to Submit:
- Prepare the manuscripts in Procedia Computer Science format (no more than 10 pages) available on the Easychair ICCS 2017 site.
- Log-in to ICCS 2017 submission site in EasyChair
- You will need to create an account if you do not have an existing account in EasyChair.
- Specify the workshop name as SPU’2017 - 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 printed in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science and indexed by Scopus, ScienceDirect, Thomson Reuters Conference Proceedings Citation (former ISI Proceedings) -an integrated index within Web of Science. The papers will contain linked references, XML versions and citable DOI numbers.
The submitted paper must be camera-ready and formatted according to the rules of Procedia Computer Science, not exceeding 10 pages. 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 only.
After the conference, selected papers will be invited for a special issue of the Journal of Computational Science.