Minisymposium Presentation

In the next years, current and next generation observational scientific experiments will provide large amounts of observational data. This has the great potential to improve our understanding of nature, but it will also come with intrinsic challenges. For example, handling these data will require the use of powerful supercomputing infrastructures. One of the main challenges consists in defining tools and protocols to extract information from such large scale datasets.

Digital twins, in particular, are fundamental tools to democratize science and bridge the gap between the HPC centers, where such large models are implemented, and clouds, where researchers at all levels can inspect the data in a user-friendly fashion. The talk will illustrate two main projects: interTwin, which aims at developing an open source digital twin engine for fundamental science, and EMP2, which builds on the interTwin project to develop a platform for environmental applications. Both projects are multi-disciplinary collaborations involving physicists and computer scientists from CERN and external partners with other backgrounds, like astrophysicists or earth system scientists. The outcomes of these project will be a set of tools that can be used by researchers to analyse their data and solve new scientific challenges in the near future.