It is possible to discern potentially significant patterns in terrorist activity through an analysis of geospatial intelligence information concerning terrorist incidents, the DNI Open Source Center (OSC) says.
A recent OSC study of terrorism in Afghanistan (large PDF) illustrates the growing sophistication of geointelligence analysis tools. By analyzing parameters such as location, timing, frequency, lethality and other such characteristics, the OSC study identified “hotspots” for terrorist activity and changes over time. It also provided data for evaluating an OSC predictive model of terrorism in Afghanistan.
The study “revealed spatial patterns and a distribution of incidents that would be valuable to those interested in the dynamics of Afghanistan’s security.”
Some of the resulting conclusions are trivial or obvious. Thus, OSC found that terrorist incidents are more likely to occur in populated areas of the country than in barren wastelands. Other conclusions concerning seasonal variations and changes in target distributions may have more practical significance.
The OSC study has not been approved for public release, but a copy was obtained by Secrecy News. See “Afghanistan — Geospatial Analysis Reveals Patterns in Terrorist Incidents 2004-2008,” Open Source Center, April 20, 2009 (in a very large 19 MB PDF file).
The study features “interactive GeoPDFs” that are embedded in the document. In order to open them, it is necessary to activate the “Layers” function in Adobe Reader. To do so, click on “View,” then select “Navigation Tabs” and click on “Layers.”
The United States federal government invests nearly $150 billion annually in research and development. However, the supporting evidence generates wildly different estimates depending on the methods and available data.
The digital government field has an opportunity to build a more responsive and resilient government by pushing into new frontiers, with new tools, approaches, and even organizations that don’t exist yet. This is the time for radical experimentation, delivery, and exploration.
Americans are paying too much for almost everything, because the United States has long treated its trucking industry as an artifact to be preserved rather than as an opportunity for innovation.
These ideas aim to advance the detailed policy solutions needed to foster public trust and implement fairness in the adoption of AI across diverse domains, from healthcare and government benefits to rural access, education, and worker protections.