Quantitative Global Analytics

Abstract

The Quantitative Global Analytics program will develop and integrate big data analysis technologies to enable commanders to detect dangerous trends and anticipate global events. In recent years we have seen how resource scarcity for necessities such as water and food can displace populations, destabilize nation-states, and precipitate global instability. Such ethnic, political, societal, economic, and environmental stresses can often be observed in advance through open source economic and financial indicators, as expressed in market activities. Market prices and volatility, which can be influenced by factors affecting production, transshipment, and/or delivery, may also provide signals in advance of disruptive events. Theoretically these signals can be a source of actionable information, but in practice it is difficult to generate useful intelligence due to the confounding effects of spurious signals and random noise. The Quantitative Global Analytics program will combine quantitative analysis of global and regional economic and financial data with natural language processing, social network analysis, computational social science, and climate studies to filter out such confounding effects to produce real-time intelligence from a wide variety of international open source data. The technologies developed in the Quantitative Global Analytics program will enhance situational awareness and generate indications and warning for new classes of cyber-social-economic-environmental threats.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2015
Source ID
4d0bf758a6546832f634f6150cd18fc2

Tags

Readers

  • Computational Modeling and Simulation
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Political Violence and Terrorism Studies.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber

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