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Latent Semantic Analysis for Assessment and Training of Knowledge and Competencies in Air Force Intelligence Organizations

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: F33615-02-M-6009
Agency Tracking Number: 012HE-0071
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2001
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
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
 Jared Freeman
 Dir of Research Division
 (202) 842-1548
 freeman@aptima.com
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Email: clancy@aptima.com
Research Institution
N/A
Abstract

A highly automated approach is proposed to measure learning and performance of cognitive tasks in Air Force intelligence organizations. We propose to identify key knowledge requirements, Mission Essential Competencies, and training needs in arepresentative intelligence domain; develop a Latent Semantic Analysis (LSA) model of domain knowledge with which we will assess expertise and diagnose specific knowledge deficits among individuals and teams; devise training strategies that take advantageof automated assessment capabilities; and illustrate them ? along with assessment and knowledge acquisition techniques ? in a web-based conceptual prototype. Work in this and subsequent SBIR Phases should produce: reliable, valid, and non-invasivemeasurement and diagnosis of knowledge and competencies in the CAOC or DCGS; improved selection, training, and real-time decision support; improved planning of new intelligence missions supported by a topically organized knowledge base of prior missions.

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

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