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Discussion Two topics 1. What are the two most important topics in the SDMIV area? 2. Future meetings? How frequently? Wide scope or specific topics? Mixed audience or specialists? 1. What are the two most important topics in the SDMIV area? 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) 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 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”.