Quantitative Methods for Rapid Response (QMRR)
Abstract
The Quantitative Methods for Rapid Response (QMRR) program develops and applies big data analysis and visualization methodologies for rapidly emergent U.S. national security priorities. As was shown by the Nexus 7 experience in Afghanistan, big data presents an opportunity to better understand the true nature of non-traditional threats, track the effectiveness of remedial measures, and develop/optimize alternative strategies; QMRR extends that work. Recently we have seen the rise of extremely challenging non-traditional threats such as ISIL and Ebola. In the case of ISIL, in addition to countering their military actions on the battlefield, it is important to limit the effectiveness of their recruitment efforts. Since ISIL recruiting is largely web-based, this implies the need to monitor ISIL public messaging in social media and private messaging on the dark web. Ebola presents related, but somewhat different challenges, specifically, finding patterns in the spread of the disease and factors that favor/mitigate its development. There is also interest in quantitative methods for countering proliferation of weapons of mass terrorism. The work conducted under the program will be coordinated with and transitioned to multiple national security agencies.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2016
- Source ID
- 4f21d5deb8f1992a17082f8dca7156b3
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