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BEGIN:VEVENT
DTSTAMP:20260510T094430Z
DTSTART;VALUE=DATE-TIME:20190612T121500
DTEND;VALUE=DATE-TIME:20190612T134500
SUMMARY:Research Forum: Greg McInerny (CIM) -BACKFILLZ and WAYS – Address
 ing longstanding visualisation problems at the site of production.
TZID:Europe/London
UID:20190612-8a17841a697d2ebb01699af9da9d716e@warwick.ac.uk
CREATED:20190605T132103Z
DESCRIPTION:12 June: Greg McInerny (CIM) BACKFILLZ and WAYS – Addressing 
 longstanding visualisation problems at the site of production. I will in
 troduce the BACKFILLZ project that James and I have been working on. Her
 e we address some issues in MCMC visualisation (MCMC\, Markov Chain Mont
 e Carlo is an optimisation/parametrisation algorithm that is widely used
  in data science). The problem with Monte Carlo is that there is no defi
 nitive way to know if the algorithm has been run for long enough and if 
 you have enough samples. Our goal is to articulate concepts such as ‘mix
 ing’ and ‘ergodicity’ in the visualisation and increase the information 
 available to the user. This is difficult as MCMC chains contains so many
  samples\, and we might have multiple chains and many parameters. In the
  second half I will introduce the new project that the Alan Turing Insti
 tute have agreed to fund\, which relates to the precursor visualisation 
 concept that I have mentioned to some people previously. Here we are add
 ressing the issue that visualisation software does not necessarily produ
 ce visualisations. In the WAYS project James and I will work with people
  in the Social Justice and Digital Twins: Data Centric Engineering theme
 s at Turing\, as well as conducting research on how people visualise dat
 a using a new spyware called GRAPHO. Its an exciting new project that wi
 ll last 18 months\, and hopefully start in September.
LOCATION:
URL:/fac/cross_fac/cim/events/researchforums
ATTACH:/fac/cross_fac/cim/events/researchforums
CATEGORIES:
LAST-MODIFIED:20190605T132103Z
ORGANIZER;CN=Tracy Thompson:
END:VEVENT
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