2.1.5: Immersive Simulation
Integrate visualisation techniques within an integrated simulation environment. Other Information:
As policy models grow in size and complexity, the process of analysing and visualising the resulting large amounts of data
becomes an increasingly difficult task. Traditionally, data analysis and visualisation were performed as post- processing
steps after a simulation had been completed. As simulations increased in size, this task became increasingly difficult, often
requiring significant computation, high- performance machines, high capacity storage, and high bandwidth networks. Computational
steering is an emerging technology that addresses this problem by "closing the loop" and providing a mechanism for integrating
modelling, simulation, data analysis and visualisation. This integration allows a researcher to interactively control simulations
and perform data analysis while avoiding many of the pitfalls associated with the traditional batch / post processing cycle.
This research challenge refers to the issue of the integration of visualisation techniques within an integrated simulation
environment. This integration plays a crucial role in making the policy modelling process more extensive and, at the same
time, comprehensible. In fact, the real aim of interactive simulation is, on the one hand, to allow model developers to easily
manage complex models and their integration with data (e.g. real- time data or qualitative data integration) and, on the other
hand, to allow the other stakeholders not only to better understand the simulation results, but also to understand the model
and, eventually, to be involved in the modelling process. Interactive simulation can dramatically increase the efficiency
and effectiveness of the modelling and simulation process, allowing the inclusion and automation of some phases (e.g. output
and feedback analysis) that were not managed in a structured way up to this point.
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