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A new generation of tools is needed to allow researchers and practicing engineers the ability to leverage investments in new methodologies and software infrastructure while enabling customization to local conditions. MAEviz represents such a next generation of seismic risk assessment software, based on the Mid-America Earthquake (MAE) Center research in Consequence-based Risk Management (CRM) and is designed to be extended, customized, and evolved to meet the needs of specific organizations and regions. MAEviz helps bridge the gap between researchers, practitioners, and policy-makers by integrating the latest research findings and most accurate data, using state-of-the-art methodologies, in an extensible software platform.

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TexTonic is a visual analytic system for interactive exploration of very large unstructured text collections. TexTonic visualizes hierarchical clusters of representative terms, snippets, and documents in a single, multi-scale spatial layout. Exploration is supported by interacting with the visualization and directly manipulating the terms in the visualization using semantic interactions. These semantic interactions steer the underlying analytic model by translating user interactions within the visualization to contextual updates to the supporting data model. The combination of semantic interactions and information visualization at multiple levels of the data hierarchy helps users manage information overload so that they can more effectively explore very large text collections. In this article, we describe TexTonic’s data processing and analytic pipeline, user interface and interaction design principles, and results of a user study conducted mid-development with experienced data analysts. We also discuss the implications TexTonic could have on visual exploration and discovery tasks.

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