title: Multiscale modelling and simulation: a position paper.
abstract: We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed significant success within the past decade, it still holds many open questions that are deemed important but so far have barely been explored. We believe that this is at least in part due to the fact that the field has been mainly developed within disciplinary silos. The principal topics that in our view would benefit from a targeted multidisciplinary research effort are related to reaching consensus as to what exactly one means by 'multiscale modelling', formulating a generic theory or calculus of multiscale modelling, applying such concepts to the urgent question of validation and verification of multiscale models, and the issue of numerical error propagation in multiscale models. Moreover, we believe that this would, in principle, also lay the foundation for more efficient, well-defined and usable multiscale computing environments. We believe that multidisciplinary research to fill in the gaps is timely, highly relevant, and with substantial potential impact on many scientific disciplines.
authors: Computational Science, Institute for Informatics, Faculty of Science, University of Amsterdam, The Netherlands National Research University ITMO, St Petersburg, Russian Federation a.g.hoekstra@uva.nl.
authors: Alfons
authors: A
authors: Hoekstra
authors: Computer Science, University of Geneva, Geneva, Switzerland.
authors: Bastien
authors: B
authors: Chopard
authors: Centre for Computational Science, University College London, London, UK.
authors: Peter
authors: P
authors: Coveney
keywords: classification; error propagation; multiscale computing; multiscale modelling; scale bridging; validation