SBIR/STTR Award attributes
Successful missile defense is critical to the security of the United States, its deployed forces, and its allies. Across numerous simulations, tests, and operational scenarios, the Government amasses large quantities of complex high-dimensional data describing missile defense outcomes. While Missile Defense Agency (MDA) analysts need to use this data to better understand and improve missile defense capabilities and plans, the size and complexity of the data make it difficult to extract and comprehend these often complex and subtle phenomena. The MDA needs a revolutionary approach to visualize and understand operationally relevant outcomes, and their implications for current and future missile defense applications. To address this need, we propose to design and demonstrate Revolutionary Evaluations and Visualizations for Observing Contextual Patterns in Large-Scale Data (REVOLT), a guided system for extracting, visualizing and understanding mission-centric information patterns in large-scale, multi-source, high-dimensional missile defense data. REVOLT will: (1) define contextually oriented interactive data facts that guide analysts to critical information patterns within the data; (2) use ecological interface design to develop revolutionary visualization techniques for the understanding of large-scale, high-dimensional data; and (3) provide a contextual graphical grammar that maps data to effective visualization techniques to reveal information patterns. Approved for Public Release | 19-MDA-9932 (21 Feb 19)
