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Multisensory Interactive Data Analysis System (MIDAS)

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0860-20-C-7137
Agency Tracking Number: B2-2935
Amount: $1,008,730.00
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): 2020-04-29
Award End Date (Contract End Date): 2022-04-28
Small Business Information
200 TURNPIKE ROAD
CHELMSFORD, MA 01824
United States
DUNS: 796010411
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jeff Gilbert
 Principal Investigator
 (978) 856-4211
 jgilbert@tritonsystems.com
Business Contact
 Collette E Jolliffe
Phone: (978) 250-4200
Email: cjolliffe@tritonsystems.com
Research Institution
 Tufts University
 Shauna Gaffny Shauna Gaffny
 
75 Kneeland Street
Boston, MA 02111
United States

 (617) 627-3834
 Nonprofit College or University
Abstract

The Multisensory Interactive Data Analysis System (MIDAS) is a revolutionary interactive and iterative system for data visualization, hypothesis generation, and hypothesis testing. It provides visualizations and sonifications of datasets under investigation to allow the user to explore relationships between parameters in the dataset and between data sets. MIDAS leverages the vast capabilities of the human perceptual system, the world's most advanced pattern-detection system. While recent advances in machine-learning have made great progress, no system is yet as powerful at detecting subtle, time-varying patterns. The Government amasses extremely large quantities of test, simulation and operational data. From these data sets, analysts must identify trends, discontinuities, and unexpected correlations, and then develop an understanding of discovered relationships. MIDAS is a tool that permit analysis to immersively explore large data sets and rapidly uncover correlations and relationships that would largely go unnoticed using conventional techniques. Approved for Public Release | 20-MDA-10398 (2 Mar 20)

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

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