Call 03 M-DASH - Joint All Domain Persistent Adaptive Collaborative Technologies II (JADPACT II)
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*16 Oct 2026 - Amendment 4 updates SOO with correct links, the AMA slides/transcript, and updated Q&A *08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date. *08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document. The Joint All Domain Persistent Adaptive Collaborative Technologies (JADPACT) Project seeks to develop Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Managers. C2 Decision Advantage events provide support for the ABMS Transformational Model decision functions 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 AI augmentation 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, supported by and integrated with Battle Analysis (milita…