J-MOC: Joint Measurement Operations Controller

With an increasing focus on Joint operations, current military training exercises are becoming more complex, relying on live, virtual, and constructive (LVC) environments. Currently, performance measurement, assessment, and feedback for JTF trainees in Joint training exercises focuses on observations made by Observer/Trainers (O/Ts) during exercises. However, observer-based data collection presents several challenges to O/Ts. Using current paper and pencil methods, it is exceedingly difficult to collect and organize observations efficiently, to correlate and fuse observations in accordance with training requirements, and to use synthesized data to produce coherent AAR and exercise products. Moreover, given the complexity and volume of system data, sheer number of systems and observers involved, and distributed nature of LVC events, it is often difficult to establish the exercise context under which observations are collected. To address these challenges, we propose to develop the Joint Measurement Operations Controller (JMOC). JMOC will include components that 1) facilitate the collection and fusion of data across O/Ts during Joint LVC events, 2) fuse those data in ways that support the development of effective trainee feedback and exercise summary products to support learning, and 3) integrate observer-based and system-based data to provide a more comprehensive picture of training outcomes and effectiveness.