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TOPMAST II - Repurposing Computational Analyses of Tactics for Training Assessments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0583
Agency Tracking Number: N18A-003-0136
Amount: $1,485,290.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N18A-T003
Solicitation Number: 18.A
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-07-26
Award End Date (Contract End Date): 2022-07-06
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
 Alan Carlin
 Senior Research Engineer
 (781) 496-2408
 acarlin@aptima.com
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Email: brouady@aptima.com
Research Institution
 USC University of Southern California
 Ms. Colleen James Ms. Colleen James
 
Institute for Creative Technologies 12015 Waterfront Drive
Playa Vista, CA 90094
United States

 (310) 444-8723
 Nonprofit College or University
Abstract

As the complexity of threats and emerging warfare capabilities increase, so do the number of Tactics, Techniques, and Procedures (TTPs) and the corresponding training regimes. Instructors are increasingly in need of automated tools to enable training that scales with complexity. Aptima, Inc., and our partners, Aviation Systems Engineering Company, Inc. (ASEC) and the University of Southern California’s Institute for Creative Technologies (ICT), will address this need by extending the Phase I prototype of TOPMAST: Training Operational Performance via Measure Automation and Scenario-generation Technology. TOPMAST will reuse tactical training data to generate scenario libraries at scale, improve integrated performance assessments, and adaptively recommend training material for individuals, crews, squadrons, and wings given current training requirements.TOPMAST benefits Navy training at many levels: individuals, crews, squadrons, wings, and above. For the individual and the crew, TOPMAST assesses training results, recommends new training, and inserts targeted training events into scenarios in real-time. For the squadron, TOPMAST analyzes trends in both operations and training, and automates authoring procedures to populate a scenario library. At all levels, TOPMAST maintains and annotates a training scenario library with understandable insight on which Training Objectives are addressed by each scenario, and how the library covers each.

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

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