Bihl, TrevorTalbert, Michael2020-01-042020-01-042020-01-07978-0-9981331-3-3http://hdl.handle.net/10125/64012e-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.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalEmerging Topics in Digital Governmentanalyticsautonomyc4isrdigital governmentresearch agendaConference Paper10.24251/HICSS.2020.271