Distributed Methods for Assessing the Readiness of Coalition Workgroups, and Teams

The technical challenge of this SBIR is to research and develop a capability which will maximize knowledge derivation from individual and individual to team training opportunities by providing real time feedback to the training audience. We put forth the technical solution for application to this complex situation as “Knowledge Discovery from separate heterogeneous data and information sources.” Strategic to operational to tactical military operations requires not only the networking of data but the communication of information for knowledge derivation to maximize the learning experience. Operational readiness can be subjectively and objectively measured through the use of automated measures of effectiveness and measures of performance. Automation of these measures is now needed to support the vast amount of information available with the use of network centric operations. Distributed Knowledge Networks (DKNs) provides the key enabling technology for translating recent advances in automated data acquisition, digital storage, computers and communications into fundamental advances that support data analysis and knowledge derivation in complex systems. The DKN technology will provide the computer science to provide an extensible architecture for the accomplishment of training in the new network centric process to train as we fight.