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Developing A Dynamic And Effective Command And Control Decision Trainer (C2DT)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-04-M-6506
Agency Tracking Number: F041-067-0633
Amount: $99,509.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF04-067
Solicitation Number: 2004.1
Timeline
Solicitation Year: 2004
Award Year: 2004
Award Start Date (Proposal Award Date): 2004-06-02
Award End Date (Contract End Date): 2005-03-02
Small Business Information
4429 Malaai St., Suite #104
Honolulu, HI 96818
United States
DUNS: 176527471
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
Principal Investigator
 David Tribble
 Project Manager
 (808) 423-1900
 tribble@referentia.com
Business Contact
 Nelson Kanemoto
Title: President & CEO
Phone: (808) 423-1900
Email: kane@referentia.com
Research Institution
N/A
Abstract

The objective of this proposal is to investigate the concept of a Command and Control Decision Trainer (C2DT) that would "wrap" a multi-student scenario-driven training system inside a user interface that simulates common command and control (C2) systems. This C2DT technology will allow military decision makers to practice and train on the processes required to achieve information and decision superiority using realistic scenarios that simulate the actual tools used to support decision making processes. The system will allow one or more students to assess a dynamic tactical picture on a C2 simulator and make decisions via the system's simulation environment, just as if it were an actual crisis situation using the actual decision support and information management tools. Different "skins" will be created as necessary to simulate the appropriate C2 systems. Student actions will be collected for scoring, review and playback, with the possibility of storing score and progress information in a Learning Management System (LMS). Instructors will be able to input various aspects of political-military scenarios, then monitor and control the evolution of the scenarios as necessary to maximize the learning value of training sessions on a per-user and a group basis.

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

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