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SAM-PDA: A Scalable, Automated and Modular Toolkit for Population Data Analysis

Award Information
Agency: Department of Defense
Branch: Army
Contract: W9132T-16-C-0013
Agency Tracking Number: A16A-013-0136
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A16A-T013
Solicitation Number: 2016.0
Timeline
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-08-15
Award End Date (Contract End Date): 2017-02-16
Small Business Information
15400 Calhoun Drive
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Chunlei Liu
 (301) 294-4629
 cliu@i-a-i.com
Business Contact
 Mark James
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 Duke University
 William Anthony Rivera
 
Duke University Campus \N
Durham, NC 27708
United States

 (305) 924-5305
 Nonprofit College or University
Abstract

To protect national interests and effectively plan, coordinate and execute military operations, support training and foster partnerships, the U.S. military must better understand populations involved in or impacted by operations. The successful population data analysis is critical in several aspects including but not limited to: assessment of progress towards tactical, operational and strategical objectives; discovery of emerging issues and evolving relationships by identifying population patterns; understanding of key leaders and stakeholders; contingency base site selection and design. To meet the great needs and solve the associated challenges, Intelligent Automation Inc. and its academic partner from Duke University propose to develop and transit innovative techniques developed in International Security from Duke University into IAIs scalable, modular and state-of-the-art analytical platform based on Scraawl. The integrated toolkit is expected to provide and innovative approaches to organizing and exposing meaning from messy data, with tools to support collection and processing of big open source data, and yield meaningful focused analytical products.

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

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