SBIR-STTR Award

Design Interactive Inc. (DI) proposes development of the Military Information Superiority Technology (MISTec), an adaptive and automated information prioritization and management system that facilitates optimal usage of networking and computing resources for promoting operational SA in modernized command conditions. MISTec integrates data analytics and human performance engineering methods to enable Information Superiority despite the reduction in physical resources and computing power associated with mobile command posts. MISTec will be a custom-built dynamic message priority queuing technology, providing role-specific and situation-specific prioritized information at the point of need by establishing goal-oriented information requirements and applying data analytic algorithms to inform on information and asset priorities. MISTec complements efforts to reduce vulnerabilities of large, static command posts through size reduction by facilitating effective and efficient information collection, flow, and storage. Phase I seeks to identify the factors relevant to the dynamic prioritization of battlespace data and information, and to present those prioritizations across several use cases. Proof-of-concept demonstration will be completed via walkthrough of a theoretical prioritization methodology that illustrates representative data sources and demonstrates the prioritization rules and schemes for adapting priority levels over the course of an evolving situation. Utility of the solution will be demonstrated in representative use cases.

Design Interactive Inc. proposes the further development of Military Information Superiority Technology (MISTec), an adaptive, automated information prioritization and management system that facilitates optimal usage of networking and computing resources for promoting operational situational awareness (SA) in modernized command conditions. MISTec uses a customized, scalable Artificial Intelligence (AI)-driven algorithm to watch, evaluate, and prioritize the mass of relevant information from disparate sources so Soldiers can observe, orient, decide, and act faster than the adversary despite the reduction in physical resources and computing power associated with mobile command posts (CPs) of the future. The focus of Phase I was to establish the theoretical and computational foundation for the algorithms. This enabled MISTec to demonstrate its feasibility and effectiveness across an initial data set and an associated mission command scenario. The proposed Phase II research will directly extend Phase I results, enhancing the foundational algorithms through extending the Goal Directed Task Analysis (GDTA), generating enhanced scenarios, and validating the algorithms leading to the development a staged prototype and a Technology Effectiveness Evaluation. By the end of Phase II, MISTec will be a commercially viable information prioritization tool.