Analytics for Autonomous C4ISR within e-Government: a Research Agenda

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dc.contributor.authorBihl, Trevor
dc.contributor.authorTalbert, Michael
dc.date.accessioned2020-01-04T07:36:31Z
dc.date.available2020-01-04T07:36:31Z
dc.date.issued2020-01-07
dc.description.abstracte-Government enables big data analytics to support decision processes in governing. C4ISR (Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance) is essentially e-Government scoped to military decision processes. The value of big data and its challenges are common to both. High variety and demand for veracity compel domain expertise-specific data analysis, and increasing volume and velocity hinder data analytics at scale. These conditions challenge even highly automated methods for comprehensive cross-domain analytics, and motivate cognitive approaches such as underlie Autonomous Systems (AS) aimed at C4ISR. A C4ISR framework is examined by parts, linking each C to ISR capability, and a taxonomy of analytics is extended to include cognitive autonomy enablers. Coupling these frameworks, the authors propose an extension of cognitive approaches for autonomy in C4ISR to e-Government in general and outline a research agenda for attaining it.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.271
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64012
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEmerging Topics in Digital Government
dc.subjectanalytics
dc.subjectautonomy
dc.subjectc4isr
dc.subjectdigital government
dc.subjectresearch agenda
dc.titleAnalytics for Autonomous C4ISR within e-Government: a Research Agenda
dc.typeConference Paper
dc.type.dcmiText

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