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Discussion
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Two topics
1. What are the two most important topics
in the SDMIV area?
2. Future meetings?
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How frequently?
Wide scope or specific topics?
Mixed audience or specialists?
1. What are the two most important
topics in the SDMIV area?
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Better specification of the requirements for visualization problems
– perhaps making use of a visualization ontology
Collaboration in visualization: both interoperability between tools
and interaction between users
Publication of annotations of data made by experts
Easier comparison of predictions from theoretical models and
observational/experimental data: what role can visualization play
in that process?
Ready comparison between visualizations to emphasise similarities
and differences – e.g. in addition to just presenting two
visualizations next to each other, add a third panel plotting the
difference between them
Better advertising by the visualization community of their wares,
so that researchers in other domains are aware of what is available
1. What are the two most important
topics in the SDMIV area? (cont’d)
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It is important to be able to describe the meaning of data if one is
to integrate and visualize them in a meaningful manner. Will
current work on ontologies solve this problem? – at both the
generic and domain-specific levels
Coupling of data mining and statistics with visualization – e.g.
performing statistical analyses as a precursor to visualization. Need
to push this “Visual analytics” agenda with funders
How to mine and visualize Petabyte-scale multi-dimensional data
sets. Need to reduce both the volume and dimensionality of the
data before they can be visualized in a comprehensible manner
How to identify the insight being provided by (or sought from)
visualization of a dataset and how to evaluate its influence. Visual
methods of computational steering to circumvent scalability
problems may be easiest to assess and may yield valuable
probabilistic solutions to some classes of problem.
2. Future meetings
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Some sessions presenting problems to be solved, rather than just
presenting new results
Both wide and narrow meetings can be valuable, but, either way,
each meeting should have one main goal, whether it have vertical
(i.e. centred on one domain) or horizontal (i.e. covering the
application of one technique to many domains) coverage. Very
general meetings should take place only rarely.
Should the SDMIV brand be rebadged as “Visual Analystics”? – or
will that concept reach its sell-by date before too long?
Workshop series – and continued contact within a group between
meetings – require self-interest (e.g. funding opportunities) to
sustain them
Could have a focussed meeting on one of the topics identified
here as part of the current eSI theme on “Exploiting diverse
sources of scientific data”.