Senior Air Force leaders provided input on problems and opportunities in experimentation campaigns in the innovation cycle, as seen by senior U.S. Air Force (USAF) leaders, with presentations by the following speakers:
- General Ellen M. Pawlikowski, Commander, Air Force Materiel Command (AFMC), presented her perspective to the workshop on her experiences as the Commander of AFMC and as a senior USAF acquisition leader regarding the Air Force’s need for experimentation.
- William A. LaPlante, former Assistant Secretary of the Air Force for Acquisition, presented his remarks to the workshop on “Making Experimentation and Innovation a Part of Air Force Acquisition Culture.”
- Col. Chuck Ormsby, Military Deputy to the Deputy Assistant Secretary of the Air Force for Science, Technology and Engineering, presented remarks to the workshop on behalf David Walker, Deputy Assistant Secretary of the Air Force for Science, Technology, and Engineering.
While the speakers presented to the workshop separately, the comments they provided lend themselves to a single summary.
Overall, the speakers commented that properly executed experimentation campaigns can be the key to innovation in the Air Force and cited a rich history of success in this area. Unfortunately, as indicated by the speakers, the proper use of experimentation campaigns is too rare in today’s Air Force. They stressed that experimentation has been well studied and what is needed is help to understand how experimentation campaigns can be institutionalized and made a dynamic part of developmental planning efforts in today’s Air Force.
- Organization. The speakers commented on the difficulty of institutionalizing innovation in a large organization such as the Air Force and avoiding the problem of experimentation campaigns falling in the “white space” between organizational units that have other primary objectives and outcomes to produce.
- Culture and environment. The speakers commented on the need for a culture that is tolerant of risk, embodies the idea of failing fast before investing big, and can distinguish between a failed experiment (an experiment poorly executed) and a disappointing outcome from a well-run experiment.