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DTSTART;TZID=Europe/Stockholm:20240604T113000
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UID:submissions.pasc-conference.org_PASC24_sess107_msa133@linklings.com
SUMMARY:The Digital Twin Initiative at CERN: New Innovative and Multi-Disc
 iplinary Ways to Handle Large Amounts of Data
DESCRIPTION:Minisymposium\n\nIlaria Luise (CERN)\n\nIn the next years, cur
 rent and next generation observational scientific experiments will provide
  large amounts of observational data. This has the great potential to impr
 ove our understanding of nature, but it will also come with intrinsic chal
 lenges. For example, handling these data will require the use of powerful 
 supercomputing infrastructures. One of the main challenges consists in def
 ining tools and protocols to extract information from such large scale dat
 asets.\n\nDigital twins, in particular, are fundamental tools to democrati
 ze science and bridge the gap between the HPC centers, where such large mo
 dels are implemented, and clouds, where researchers at all levels can insp
 ect 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 p
 roject to develop a platform for environmental applications. Both projects
  are multi-disciplinary collaborations involving physicists and computer s
 cientists from CERN and external partners with other backgrounds, like ast
 rophysicists or earth system scientists. The outcomes of these project wil
 l be a set of tools that can be used by researchers to analyse their data 
 and solve new scientific challenges in the near future.\n\nDomain: Climate
 , Weather, and Earth Sciences, Applied Social Sciences and Humanities, Com
 putational Methods and Applied Mathematics\n\nSession Chair: Marie-Christi
 ne Sawley (ICES Foundation)
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