15 May 2015 Composable Analytic Systems for next-generation intelligence analysis
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Lockheed Martin Advanced Technology Laboratories (LM ATL) is collaborating with Professor James Llinas, Ph.D., of the Center for Multisource Information Fusion at the University at Buffalo (State of NY), researching concepts for a mixed-initiative associate system for intelligence analysts to facilitate reduced analysis and decision times while proactively discovering and presenting relevant information based on the analyst’s needs, current tasks and cognitive state. Today’s exploitation and analysis systems have largely been designed for a specific sensor, data type, and operational context, leading to difficulty in directly supporting the analyst’s evolving tasking and work product development preferences across complex Operational Environments. Our interactions with analysts illuminate the need to impact the information fusion, exploitation, and analysis capabilities in a variety of ways, including understanding data options, algorithm composition, hypothesis validation, and work product development. Composable Analytic Systems, an analyst-driven system that increases flexibility and capability to effectively utilize Multi-INT fusion and analytics tailored to the analyst’s mission needs, holds promise to addresses the current and future intelligence analysis needs, as US forces engage threats in contested and denied environments.
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Phil DiBona, Phil DiBona, James Llinas, James Llinas, Kevin Barry, Kevin Barry, } "Composable Analytic Systems for next-generation intelligence analysis", Proc. SPIE 9499, Next-Generation Analyst III, 94990N (15 May 2015); doi: 10.1117/12.2184177; https://doi.org/10.1117/12.2184177

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