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

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-20-C-7136
Agency Tracking Number: B2-2932
Amount: $994,175.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA18-T001
Solicitation Number: 18.C
Timeline
Solicitation Year: 2018
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-07-22
Award End Date (Contract End Date): 2022-07-21
Small Business Information
12 Gill Street Suite 1400
Woburn, MA 01801
United States
DUNS: 967259946
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Sylvain Bruni
 Principal Engineer
 (617) 417-0359
 sbruni@aptima.com
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Email: brouady@aptima.com
Research Institution
 Central Washington University
 Leslie Hunter Leslie Hunter
 
400 East University Way Barge Hall, Room 214
Ellensburg, WA 98926
United States

 (509) 963-3111
 Nonprofit College or University
Abstract

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 MAVERICK, a Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge. MAVERICK 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. MAVERICK will dually leverage advances in visual data mining and machine learning for adaptable and adaptive automation support. Ultimately, MAVERICK 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 | 20-MDA-10398 (2 Mar 20)

* Information listed above is at the time of submission. *

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