Big Data and Intelligence: Applications, Human Capital, and Education

Journal of Strategic Security

Landon-Murray, Michael¹ 

[1] University of Colorado, Colorado SpringsUniversity of Colorado, Colorado SpringsUniversity of Colorado, Colorado Springs

关键词: Intelligence analysis;    Intelligence collection;    Intelligence studies/education;    Methodology;    Science and technology & security;   

DOI  :  10.5038/1944-0472.9.2.1514

学科分类：建筑学

来源: Henley-Putnam University Press

【 摘 要 】

The 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.

【 授权许可】

Unknown