2018 I/ITSEC - 9250

Team Orlando: Community of Progress (Room S320A)

27 Nov 18
3:00 PM - 3:30 PM
Team Orlando has become an international icon for the modeling, simulation, and training (MS&T) community. Countless examples of cooperation demonstrate the exceptional advantage of having co-located representatives from every military branch, academia, and industry. The benefit of this community exceeds the sum contributions of the individual players yet leadership has also recognized that a clear strategic message could drive increased collaboration and greater tangible measures of impact. While those of us intimately involved with Team Orlando can easily appreciate the impact of this synergy, making it transparent and understandable to others can be a challenging, but necessary, exercise. From Operation Blended Warrior to the sharing of Army’s new rapid award Training and Readiness Acceleration contracting vehicle, countless collaborative stories can be told just from this year alone. But across decades, the extended impact to the MS&T community has been immense. Accordingly, this paper provides data regarding time, fiscal, and human efficiencies accomplished through the establishment of these co-located key entities. Additionally, similar benefits to the state of Florida for hosting this community is included. Beyond the tangible returns on investment (ROI), insights are provided into intangible benefits such as the University of Central Florida’s ability to justify the addition of their College of Medicine, the establishment of a M&S Certification for high school students to develop our next leaders, and to complete the lifecycle, the significant impact of retired Government and military personnel who participate substantially in this community. Combined, this paper clarifies a process for how to measure ROI in expansive systems, defines guidelines for other communities that would like to replicate, and provides recommendations to the Team Orlando leadership for optimizing its future impact. We hope that the culmination of data, structure, and vision informatio