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Meta-Information Representations In Advanced Modeling and Simulation (MIRIAM)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-M-4418
Agency Tracking Number: F061-055-0653
Amount: $99,738.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF06-055
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-04-27
Award End Date (Contract End Date): 2007-04-27
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonathan Pfautz
 Principal Scientist
 (617) 491-3474
 jpfautz@cra.com
Business Contact
 Paul Gonsalves
Title: Vice President
Phone: (617) 491-3474
Email: pgonsalves@cra.com
Research Institution
N/A
Abstract

Modern military operations increasingly require commanders to reason about large amounts of complex information – a task made more challenging due to meta-information (i.e., characteristics of information) such as uncertainty, staleness, etc. that adds to the decision-making burden. Knowledge regarding this meta-information and methods for effectively portraying it have the potential to not only relieve the decision-maker’s workload, but also to encourage more battlespace-aware decisions. Therefore, we propose to design and demonstrate a system to develop Meta-Information Representations for use In Advanced Modeling and Simulation (MIRIAM). Three core components characterize our approach. First, we will perform a work domain analysis on a specific scenario to develop a structured categorization of sources and types of information and meta-information, to define which types are required by the commander, and to identify DoD modeling and simulation systems that require meta-information representation. Second, we will design and demonstrate a toolkit to augment incoming data with meta-information and to support rapid prototyping of novel visualization techniques. Third, we will design a methodology to assess the effectiveness of these techniques. We will leverage our team’s expertise in the development of complex display systems to rapidly design and use the proposed toolkit to develop novel meta-information visualization techniques.

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

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