Modeling Terrorist Activity
Modeling terrorist activity is important for a variety of reasons.
Accurate models can help aid in decision making and potentially reduce the losses that are incurred.
Many of the current models attempt to profile a terrorist organization and predict when and where events are likely to occur.
Some models also attempt to identify the perpetrators involved in an event.
Perform a literature review to assess the current state of the art in modeling and predicting terrorist activity.
The review should include:
Also be sure to keep all of the references to submit with your final technical paper, the primary deliverable at the end of the semester.
- An assessment of publicly available databases of crime and terrorist activity
- An overview of the various models and approaches currently used
- the kinds of models used
- how the models are evaluated
- a review and comparison of which models perform well and under what conditions
- descriptions of the classification features used in machine learning models
- An extensive bibliography
Some places to start are provided below. Books can be obtained/requested (perhaps through interlibrary loan) from Pace University libraries.
- Are global terrorist attacks time-correlated?
- Self-exciting hurdle models for terrorist activity
- Terrorism and Political Violence
- Generating Terrorism Event Databases
- The Global Terrorism Database: Accomplishments and Challenges
- Detecting, tracking, and counteracting terrorist networks via hidden Markov models
- Identifying Terrorist Activity with AI Plan Recognition Technology
- Assessing and Comparing Data Sources for Terrorism Research