This 2013 book aims to inform government decision-makers, security analysts, and activists on how to use the social world to improve security locally, nationally, globally, and cost-effectively.
This 2014 article uses a case study method to examine the implications of using the emerging technology of predictive analytics in a homeland security context, to provide increased intelligence for counterterrorism initiatives. The study addresses how this emerging technology is currently used, if such technology is viably transferable to a homeland security context, and if it will be able to provide increased intelligence relating to motivations behind terrorist attacks. The study evaluates whether this data will leverage the detection of potential terrorist profiles and potential terrorist targets to prevent future attacks.
This article will be of use to practitioners and researchers interested in predictive analytics and detection of terrorist and extremist activities, as well as potential future attacks. The authors argue that by utilizing these technologies, homeland security stakeholders will gain a better understanding of how these groups operate, or plan to operate, and identify possible threats before an attack occurs. They argue that investing in intelligence gathering, analysis, and distribution capabilities is a major step forward in preparing for uncertainties, provided that the emerging technologies utilized for data collection are implemented effectively.