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BEGIN:VEVENT
DTSTAMP:20260625T093434Z
DTSTART;VALUE=DATE-TIME:20260605T131500
DTEND;VALUE=DATE-TIME:20260605T144500
SUMMARY:Research talk: Visual Data Science for rich simulation data
TZID:Europe/London
UID:20260605-8ac672c59e864e7d019e88e49b6c10ae@warwick.ac.uk
CREATED:20260602T151511Z
DESCRIPTION:Visual Data Science for rich simulation data Helwig Hauser Un
 iversity of Bergen\, Norway\; vis.UiB.no & UiB.no/cedas Where: FAB2.31 a
 nd on Teams When: 1:15pm - 2:45pm\, Friday\, June 5\, 2026 Abstract: Num
 erical simulation has become indispensable in many fields of science and
  applications\, including engineering\, much of natural sciences\, and m
 any more. Typically\, the computed data are rich and extensive with comm
 only detailed spatiotemporal resolution and numerous computed variates –
  we also appreciate a fascinating trend towards ensemble simulation\, re
 sulting in parametric and / or stochastic datasets. Visual data science\
 , based on the integration of analytical / computational means with inte
 ractive visualization\, offers scientists as well as practitioners to be
 tter exploit the rich deliveries of their numerical simulation approach.
  Particular challenges include the increased dimensionality of the data\
 , the associated semantics\, which often required a dedicated treatment 
 of different aspects of the data. In this talk\, we review visualization
  research that was done in tight collaboration with domains such as auto
 motive engineering and Earth sciences. We see examples for exploiting mo
 dern modeling approaches and we recognize the potential of visual data s
 cience to facilitate an exchange between expert users and their challeng
 ing data.
LOCATION:FAB2.31
CATEGORIES:Public Lecture
LAST-MODIFIED:20260602T151511Z
ORGANIZER;CN=Carlos Camara:
END:VEVENT
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