000			02031nab a22001937a 4500
003			ES-MaBCA
005			20160615125040.0
008			120330t xxu||||| |||| 00| 0 eng d
040			_aES-MaBCA _cES-MaBCA
100			_94893 _aLandon-Murray, Michael
245			_aBig Data and Intelligence _h[Recurso electrónico] PDF _b: applications, Human Capital, and Education
520			_aThe potential for big data to contribute to the US intelligence mission goes beyond bulk collection, social media and counterterrorism. Applications will speak to a range of issues of major concern to intelligence agencies, from military operations to climate change to cyber security. There are challenges too: procurement lags, data stovepiping, separating signal from noise, sources and methods, a range of normative issues, and central to managing these challenges, human capital. These potential applications and challenges are discussed and a closer look at what data scientists do in the Intelligence Community (IC) is offered. Effectively filling the ranks of the IC’s data science workforce will depend on the provision of well-trained data scientists from the higher education system. Program offerings at America’s top fifty universities will thus be surveyed (just a few years ago there were reportedly no degrees in data science). One Master’s program that has melded data science with intelligence is examined as well as a university big data research center focused on security and intelligence. This discussion goes a long way to clarify the prospective uses of data science in intelligence while probing perhaps the key challenge to optimal application of big data in the IC.
650		0	_92465 _aProtección de datos
650		0	_95114 _aInteligencia
650		0	_9960 _aSeguridad
773	0		_aJournal of Strategic Security _g. -- Vol 9 No. 2 (Summer 2016) Art. 6 _iEn : _tJournal of Strategic Security _w328 _x1944-0472
856	4		_uhttp://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1514&context=jss
942			_2udc _cAN
999			_c18206 _d18209