Predictive Societal Indicators of Radicalism - Forecasting Domestic Political Violence

Abstract

The Predictive Societal Indicators of Radicalism (PSIR) Model of Domestic Political Violence forecasts political violence levels at yearly intervals into the future. The model enables policymakers, particularly in the COCOMS, to proactively plan for instances of increased domestic political violence, with implications for resource allocation and intelligence asset assignment. Using a regression model applied to a large number of drivers of conflict variables spanning numerous open source social science datasets, the PSIR model uses a novel Negative Residuals technique. Negative Residuals result from the model predicting higher levels of violence than actually experienced, indicating nation states that are predisposed to increasing levels of violence based on the presence of environmental conditions and drivers of conflict with demonstrated correlation with political violence.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA549367

Entities

People

  • Alper Caglayan
  • Amanda Murdie
  • David Cingranelli
  • Dustin Burke
  • Laura Stroh
  • Sam Bell

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Delphi Method
  • Domestic
  • Electrical Engineering
  • Engineering
  • Governments
  • Indicators
  • Intensity
  • Knowledge Management
  • Political Science
  • Residuals
  • Social Sciences
  • Sociology
  • Universities
  • Violence

Readers

  • Economics
  • Political Violence and Terrorism Studies.
  • Regression Analysis.