MAVERICK: Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge

System-level simulations of the Ballistic Missile Defense System (BMDS) generate extremely large quantities of highly multidimensional data, which analysts at the Missile Defense Agency (MDA) must explore and analyze to infer insights and relationships. Existing tools based on automated routine scripts are ill-equipped to handle the volume and complexity of these data, requiring piecemeal analysis and inefficient workarounds. To address this challenge, we propose to develop a Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge. This is an integrated visual analytics tool that provides rich, insight-driven, expanded exploration and analysis capabilities to MDA analysts, and relies on recent breakthrough algorithms for dimensionality reduction, interactive visualizations, and mixed-automation support, combined as an integrated and learning cognitive assistant. The visualizer will dually leverage advances in visual data mining and machine learning for adaptable and adaptive automation support. Ultimately, the visualizer will enable efficient and effective interaction with and exploration of large, multidimensional datasets, leading to faster, more complete, and more insightful analyses of BMDS simulation data. Approved for Public Release | 19-MDA-9932 (21 Feb 19)