United States Joint Forces Command (USJFCOM) Joint Concept Development and Experimentation Directorate (JCD&E) develops innovative joint concepts and capabilities providing experimentally proven solutions to the most pressing problems facing the joint force. Operationally relevant solutions are rapidly delivered to support current operations and drive changes to better enable the future joint force. JCD&E provides thought leadership and collaborative environments to generate innovative ideas with a range of interagency, multinational, academic and private sector partners.

One JCD&E enterprise sponsored experiment involves the investigation of sensor optimization, re-tasking and management. For this experiment, Modeling and Simulation (M&S) was used to support development of the necessary analytical framework. Here, M&S was used to produce objective and quantantive data which supported the analysts' insights. For this particular experiment, running M&S in a Constructive Simulation (CS) mode was deemed necessary to bound the problem domain. Process modeling was used to determine the variables that represented the human decision making processes under investigation. Then these variables were used during the faster than real-time CS runs that were executed on USJFCOM's High Performance Computer (HPC). The simulation used the process model to validate the dependent variables used in the CS runs. The HPC was used to support the vast number of CS runs necessary to produce statistically significant data to support the analytical findings.

Hence, this paper discusses how the JCD&E enterprise identified and designed a project that used process modeling and CS runs. Discussions include lessons learned on how modeling can produce validated data to support CS runs. Finally, this paper concludes with a discussion as to how the constructively produced data, from the process modeling and CS runs, assisted in refining the follow-on Human In The Loop trials.