Start Date: 24th October 2017End Date: 24th October 2017
Start Time: 09:30 AMEnd Time: 12:30 PM
This year, when celebrating its 60th birthday, the EU made a bold claim about its future: it will become a global player on the next stage of high-performance computing, known by the label of exascale computing. This raises the question in which fields Europe may choose to develop a comparative advantage in future high-performance computing – in which fields to form new communities, know-how, infrastructures and markets. One such field could be the understanding and mastering of global challenges.
The conference will focus on four example global challenges:
In global systems, large numbers of human agents interact in complex network structures embedded in a shared environment.
The system dynamics arises from these interactions – as in models of molecular dynamics, where many particles interact to give rise to the system's behaviour.For the latter, HPC methods, tools and codes exist; moreover, there are equations that describe the system at the macro-level.
For global systems, no macro-level equations exist that describe the complex systems dynamics. These dynamics can be explored with the help of agent-based simulation models, which differ from molecular dynamics models in several respects:
In those cases where networks between agents have an important influence on the model outcome, where effects to be modelled concern a small subgroup of a population (as for example an initially small group of adopters in addressing the question whether a certain "green" innovation can trigger a sustainability transition), or where path dependency can lead to differing outcomes resulting from small changes at the micro-level of the system, models at the individual level are necessary in order not to "aggregate away" important elements of the evolution of a global system.
Further, the process of GSS model development is fundamentally based on iterative loops of model definition, implementation and analysis. Thorough exploration and analysis of stochastic model dynamics throughout large parameter spaces is necessary in this process. One main aim is to identify the "turbulent zones" of interest, where rapid changes occur in a social system. Such change may be desired in some cases, as for example when looking for policy measures that can induce a transformation to sustainable mobility. In other cases, the goal will be to steer the system in a safe distance from turbulent zones, as for the example of an epidemics taking off.
Some fields in GSS are already using this new type of models – for example, epidemiology, to represent statistically correct dynamics of encounters between individuals for analysing the spread of a virus – for other topics, such models are being developed.
This conference wants to explore how GSS and HPC can join forces in further development of large scale simulation modelling for addressing societal challenges
To this end, the conference shall bring together three groups of experts: scientists from the fields of GSS and HPC and practitioners working on these challenges.
In the longer run, agent-based models with refined representations of human individuals, that may be developed by merging GSS and HPC, may lead to a larger need for computational power than in molecular modelling, since the complexity of humans and their interactions, including decision making procedures, vastly exceeds that of molecules. Typical structures in global systems may then also help shape future developments in HPC and HPDA.