KEYWORDS: Analytics, Reconnaissance, Sensors, Surveillance, Defense and security, Control systems, Machine learning, Data processing, Information science
Ongoing research with The International Technology Alliance in Distributed Analytics and Information Sciences (DAIS-ITA) aims to enable secure, dynamic, semantically-aware, distributed analytics for deriving situational understanding in future coalitions. This paper sets out an example military scenario and operations in a future time frame, to capture the expected battlespace context and key future challenges. Key considerations involve complex multi-actor situations, high complexity information, high tempo processing, all within human-machine hybrid-teams. The coalition composition of these teams is critical and all resources will be constrained. A phased operation is proposed across rural and urban operation involving a range of ISR sensors and autonomous devices. All these are subject to enemy action and perturbation and must be used across a highly contested and congested electromagnetic spectrum. Agile command and control is required across the coalition with information arriving from multiple sources and partners that may also be utilised for learning.
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