Lines of Operations Monitoring and Assessment System (LOOMAS) Navy SBIR FY2012.1 Sol No.: Navy SBIR FY2012.1 Topic No.: N121-105 Topic Title: Lines of Operations Monitoring and Assessment System (LOOMAS) Proposal No.: N121-105-0075 Firm: Charles River Analytics Inc. 625 Mount Auburn Street Cambridge, Massachusetts 02138-4555 Contact: Alexander Gee Phone: (617) 491-3474 Web Site: www.cra.com Abstract: Command and Control (C2) operators at Maritime Headquarters with Maritime Operations Centers (MHQ/MOC) working at the Operational Level of War need to maintain active lines of operations (LOOs), execute branch plans, and plan follow-on sequels. To support these activities, we propose to design and demonstrate the feasibility of a Lines of Operations Monitoring and Assessment System (LOOMAS). Three core components characterize our approach. First, we will facilitate the modeling of LOOs to capture the broad scope of operational planning and the uncertainty of the operational environment. Second, we will automate the assessment of LOOs and the recommendation of branch plans and sequels, providing C2 operators with constant insight into the state of the operation in support of making timely and informed decisions. Third, we will enable presentation, manipulation, and reasoning over assessed LOOs and provide human-in-the-loop interactions that augment the assessment methods with C2 operator experience, expertise, and context understanding. We will appraise the feasibility of our approach with the design and implementation of a prototype demonstration system in Phase I, and the specification of an evaluation plan to more thoroughly assess our approach in Phase II. Benefits: The full-scope LOOMAS technologies will have immediate and tangible benefits across both government and commercial applications. Government applications include enhancements to operational planning systems used by C2 operators, including the Navy's future Maritime Tactical Command and Control (MTC2) program. Commercial applications include the development of a knowledge representation framework for process modeling and an automation service for evaluating outcomes. Return