Rapid Development of a Data Visualization Service in an Emergency Response

Abstract

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Dashboard Design Patterns

“…We discussed a framework for design tradeoffs (Sect. 5), strongly informed by our design patterns and by our experience in designing dashboards [31,32]. We think of this discussion as a first formal discussion-partially based on information theory-of design decisions for dashboards.…”

Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations

“…A series of academic articles, both published and in preparation, in the visualization and epidemiological modelling domains, report on specific results that combine technology, design and data successfully in new and revealing ways, e.g. [75,99,100].…”

“…This activity, and our subsequent consolidation through RAMP VIS, has resulted in a central visualization server that offers: hundreds of plots and composite dashboards depicting data on the core pandemic indicators [ 99 , 100 ] ( figure 4 ); analytical agents that automatically transform raw data to be visualized by the central system; a collection of analytical routines and algorithms that offer generic analytical capability for exploring time series based data; a series of static and interactive visualization prototypes to support the four modelling teams. Work on the modelling support prototypes has resulted in, for instance: new ways of representing and interacting with data for contact tracing and assessing model inputs and outputs ( figure 1 ); improved epidemiological models and understanding of them ( figure 3 ); new connections between research groups and researchers; new attitudes to the use of visualization in epidemiological modelling and shared knowledge about how this can take place; and funding to support ongoing work.…”

“…A series of academic articles, both published and in preparation, in the visualization and epidemiological modelling domains, report on specific results that combine technology, design and data successfully in new and revealing ways, e.g. [ 75 , 99 , 100 ].

Figure 1 Six excerpts of an animation of a modelled disease transmission network [ 101 ] are visualized here using D yn N o S lice [ 102 , 103 ].

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Development and Evaluation of Two Approaches of Visual Sensitivity Analysis to Support Epidemiological Modeling

“…In summary, our main contributions are as follows: (i) two complementary visual analytics approaches to support SA in epidemiological modeling as part of a large-scale collaboration between visualization and domain experts [12,20] (both approaches have been integrated into the RAMPVIS server [29,42] resulting from this collaboration, making them available to the modeling community at large); (ii) a user-centered task analysis and evaluation, and a mapping of the relations between the tasks and relative merits of these two approaches.…”