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Developing Capabilities for the Visualization and Analysis of Qualitative Data within Geographic Information Systems

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132V-11-P-0001
Agency Tracking Number: A102-108-1411
Amount: $119,956.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A10-108
Solicitation Number: 2010.2
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-11-04
Award End Date (Contract End Date): 2010-05-03
Small Business Information
1050 W NASA Blvd Suite 154
Melbourne, FL 32901
United States
DUNS: 038379579
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Bruce McQueary
 Vice President
 (321) 591-7371
 bmcqueary@securboration.com
Business Contact
 Lynn Lehman
Title: Vice President
Phone: (919) 244-3946
Email: contracts@securboration.com
Research Institution
N/A
Abstract

Understanding the dynamics of today’s operational environment requires collection and analysis of nontraditional, qualitative intelligence that current GIS options cannot support. To bridge quantitative GIS and these emerging qualitative sources, and apply it to arguably the most pressing operational situation, Securboration proposes to develop the Stability and Reconstruction GIS, or STARGIS. Securboration are experts in automating the extraction, storage, and geovisualization of qualitative data and using it to geoanalyze progress in stability related operations. To complement our technical expertise we are teaming with renowned geographer Dr. Meghan Cope, Chair of the Geography Department at the University of Vermont. Dr. Cope has performed seminal research in qualitative GIS that includes co-authoring the book Qualitative GIS: A Mixed Methods Approach (London: Sage Publications, 2009). As a supporting data set Securboration will leverage our ongoing related work from the Measuring Progress In Conflict Environments program (MPICE – Afghanistan 2010 Framework). MPICE defines a framework of qualitative and quantitative stability related goals, indicators, and measures, making it an ideal data set for STARGIS. Currently, the MPICE focus has been on metrics definition and corresponding data collection. STARGIS presents the opportunity and transition path to store, visualize, and analyze MPICE results using a qualitative GIS approach.

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

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