Many communities in the sciences as well as in the socio-economic domain are now confronted with the problem of understanding multiscale systems. Notwithstanding the tremendous progress being made in application domains we observe a lack of generic methodology and common language for multiscale modelling and computing. This workshop will bring together a dedicated group of computational scientists and domain specialists to identify generic methodologies, algorithms and languages for multiscale modelling, as well as software environments that support multiscale computing, cutting through specific scientific domains.
In multiscale modeling of natural phenomena one must identify and model all key processes on their separate spatio-temporal scales, and the way these processes interact with each other through the scales (scale bridging methods). Multiscale modeling and simulation has now turned into a focal point of attention in many scientific disciplines. However, unlike the rapid progress in this field, we still observe a lack of methodology and common language.
The focus of the workshop is to fill this gap, by exploiting the combined expertise of domain specialists and computational scientists, and to start a scientific interaction that should result in a sound and broadly accepted methodology for multiscale modelling and computing.
The workshop should provide an overview of current state-of-the-art in multiscale computing and key examples of its use in a number of disparate application domains and should contribute to a better understanding of multiscale modelling and computing, cutting through specific scientific domains. The workshop will foster topical discussion, both in breakout sessions and plenary sessions, aiming at unifying ideas and setting future research agendas.
The workshop has a length of 5 days. We will structure the discussion around the following five topics
1. Classification of multiscale models
2. Methods and algorithms for multiscale models
3. Languages for multiscale models
4. Programming multiscale models
5. Multiscale computing
Moreover, a number of sessions will be dedicated on reporting state-of-the-art applications of multiscale modeling and simulation.
The workshop will be considered a success if we are able to find a common methodology for multiscale modelling and computing, cutting through all scientific disciplines, if we are able to build a community of scientists working on multiscale computing (proven by follow-up workshops or conferences, joint papers, special issues of journals), and if we are able to (start to) write a white paper on multiscale computing, that should form the basis for new programs, either at the national level, or at the European (Horizon 2020) level.