Call 01 - Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II)

The Joint All Domain Persistent Adaptive Collaborative Technologies Project is Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Mangers. C2 Decision Advantage Events provide support for ABMS Transformational Model Battle Management and an opportunity to learn about and explore many different AI/automation approaches for Battle Management. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/autonomy and further identify areas where autonomy would support Battle Managers. The goal is to include industry to ensure work being done to develop and adapt the latest, cutting-edge AI/automation approaches can be leveraged and adapted to the needs of Battle Managers. This will be accomplished by seeking unique and innovative solutions to accomplish the defined technical requirements.

The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary. Current DAF command and control (C2) systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge. Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are. The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, and Battle Management decision domains. Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM) using model-based systems engineering which bring these C2 decisions to light in a detailed manner.

The Multi Decision Advantage Sprint for Human-machine teaming (MASH) is tentatively scheduled for 4 May– 15 May 2026 at the Howard Hughes Operations (H2O) Center in Las Vegas, NV. An “Ask Me Anything” for this event is planned to occur prior to the event. Participants will be limited based on resource and space constraints, and selected participants will be notified by 24 March 2026.