Dismantling Terrorist Networks to appear in Technology Forecasting and Social Change

Jared Keller, Yuan Lin, and I authored a paper that describes how agent-based modeling can be used to consider policy options for dismantling terrorist networks. The paper will appear in Technology Forecasting and Social Change.

Dismantling Terrorist Networks: Evaluating Strategic Options Using Agent-Based Modeling

Dismantling dark networks remains a critical goal for the peace and security of our society. Terrorist networks are the most prominent instantiation of dark networks, and they are alive and well. Attempts to preemptively disrupt these networks and their activities have met with both success and failure. In this paper, we examine the impacts of four common strategies for dismantling terrorist networks. The four strategies are: leader-focused, grassroots, geographic, and random. Each of these strategies has associated pros and cons, and each has different impacts on the structure and capabilities of a terrorist network. Employing a computational experimentation methodology, we simulate a terrorist network and test the effects of each strategy on the resiliency of that network. In addition, we test scenarios in which the terrorist network has (or does not have) information about an impending attack. Our work takes a structural perspective to the challenge of addressing terrorist networks. Specifically, we show how various strategies impact the structure of the network in terms of its resiliency and capacity to carry out future attacks. This paper also provides a valuable overview of how to use agent-based modeling for the study of complex problems in the terrorism, conflict studies, and security studies domains.

Paper on Information and Knowledge Management within Public Sector Networks accepted at the International Journal of Public Administration


I have a new paper accepted for publication. The paper, “Information and Knowledge Management in Public Sector Networks: The Case of the US Intelligence Community” will appear in the International Journal of Public Administration.

This paper contributes to the public management literature by exploring the critical challenges that underpin the construction of robust information and knowledge management strategies in networked settings. The ability of the network to sustain itself, thrive, and achieve its objectives depends on the success that the network has in organizing and coordinating its constituent organizations. The network’s collaborative information and knowledge management strategy is critical to the functioning of the network and the achievement of objectives. A robust information and knowledge management strategy will bring organizations in the network together, help them share resources, collaborate on efforts, and further their objectives in a holistic manner. An inadequate information and knowledge management strategy might lead to disconnects in organizations due to lack of information sharing, poor collaborative knowledge generation, lack of coordination, leading to a fragmented network. Drawing on a multi-year, multi-method, and multi-organization study of the United States Intelligence Community (USIC), the paper puts forth a comprehensive framework to examine information and knowledge management challenges within the USIC, as well as other organizations.