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Charles River Analytics, Inc. SBIR Phase II Award, January 2018

A SBIR Phase II contract was awarded to Charles River Analytics in January, 2018 for $988,793.0 USD from the U.S. Department of Defense and Missile Defense Agency.

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Contents

sbir.gov/node/1593321
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Charles River Analytics
Charles River Analytics
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
Missile Defense Agency
Missile Defense Agency
0
Award Type
SBIR0
Contract Number (US Government)
HQ0147-18-C-70010
Award Phase
Phase II0
Award Amount (USD)
988,7930
Date Awarded
January 12, 2018
0
End Date
January 11, 2020
0
Abstract

As the United States makes strides in developing, testing, and deploying missile defense technology, the human element remains core to the integrated, layered ballistic missile defense system (BMDS) architecture. Human operators oversee the command and control at the system, component, and element level across a vast array of networked ground-, sea-, and space-based sensors and interceptors to effectively detect, track, discriminate and engage threats. This requires careful coordination across a complex system-of-systems. It is vital to understand the impact of human operator differences across system configurations, engagement conditions, and target phenomena for a variety of BMDS applications. Currently, however, there is no common, modular capability to model variability in human-in-control (HIC) interactions with other simulated elements. A HIC modeling capability is needed that can (1) represent the breadth of operator decision-making processes across BMDS elements, (2) scale to deliver the appropriate level of fidelity, and (3) be extensible to future operator needs. To provide this HIC modeling capability, we propose to develop and evaluate a full-scope prototype of Modeling Operator Reasoning and Performance for Human-in-Control Simulation (MORPHIC). MORPHIC provides a development and run-time environment for non-technical experts to construct and execute HIC models for a variety of BMDS applications.Approved for Public Release | 17-MDA-9395(24 Oct 17)

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