A Department of Homeland Security Center of Excellence led by the University of Maryland

A consortium of researchers dedicated to improving the understanding of the human causes and consequences of terrorism

Community-Level Indicators of Radicalization: A Data and Methods Task Force


Community-Level Indicators of Radicalization: A Data and Methods Task Force

Abstract: 
Recently, a number of United States citizens have been charged with seeking oversees training for terrorist plots, sending money to fund terrorism or plotting to launch terrorist attacks within the United States. These actions underscore the need to prevent violent radicalization well before the immediate threat of an attack. This is an emerging research area, and far too little is known about what drives individuals to engage in violent radical behavior. In addition, the vast majority of past research has focused on case studies constructed after an attack or attempted attack, large-scale attitudinal survey, or interviews with former terrorists. As with all research, these methods have limitations including lack of external validity (limiting ones’ ability to generalize from one individual to other
cases), the reliance on finding and convincing individuals to grant interviews, and the ability of large-scale attitudinal surveys to capture extremist beliefs. Thus, the current project was launched to explore alternative research approaches that could be used to improve understanding of the processes surrounding violent radicalization. In particular, we sought to examine whether empirical research, using archival or institutional data at the community level, could provide new insights into factors that might leave individuals vulnerable to radicalization.

Publication Information

Full Citation: 

Fishman, Shira. 2010. "Community-Level Indicators of Radicalization: A Data and Methods Task Force."  Report to Human Factors / Behavioral Sciences Division, Science and Technology Directorate, U.S. Department of Homeland Security. (February): www.start.umd.edu/pubs/START_HFD_CommRadReport.pdf

START Author(s): 
Shira Fishman
Publication URL: 
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