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A-PuMPS: Aircrew Performance Measurement and Proficiency System

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0439
Agency Tracking Number: N181-026-0556
Amount: $125,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N181-026
Solicitation Number: 18.1
Timeline
Solicitation Year: 2018
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-05-15
Award End Date (Contract End Date): 2019-07-25
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
 Dr. Webb Stacy Dr. Webb Stacy
 Corporate Fellow
 (781) 496-2437
 wstacy@aptima.com
Business Contact
 Thomas McKenna
Phone: (781) 496-2443
Email: brouady@aptima.com
Research Institution
N/A
Abstract

The Navy seeks to leverage data science-based tools, methods, and principles to achieve a warfighting advantage over our enemies. For example, aggregate data regarding Warfighter proficiency could help the Navy to make better-informed decisions on topics such as curriculum redesign, simulator acquisitions, and weapons platform acquisitions. However, in order to create such a proactive and predictive decision capability, the Navy first needs to develop reliable, valid, and unobtrusive measures of Warfighter proficiency that can be collected during training. Additionally, the Navy needs to develop a “big data” infrastructure that can integrate the Warfighter proficiency data—across squadrons, training events, missions/tasks, and time—to identify meaningful trends that will guide decision making activities throughout the Naval command hierarchy. To address this critical need, Aptima will develop the Aircrew Performance Measurement and Proficiency System (A-PuMPS). When complete, A-PuMPS will contain two primary system components. The first component is training-focused; it will ingest streaming simulator data to develop reliable, valid, and unobtrusive measures of Warfighter proficiency during training. The second component is data science-focused. It will systematically merge, aggregate, de-identify, store, clean, fuse, visualize, and model the Warfighter proficiency data to support proactive, data science-driven decision making.

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

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