Predicting Terrorism with Machine Learning: Lessons from “Predicting Terrorism: A Machine Learning Approach”
Abstract
This paper highlights how machine learning can help explain terrorism. We note that even though machine learning has a reputation for black box prediction, in fact, it can provide deeply nuanced explanations of terrorism. Moreover, machine learning is not sensitive to the sometimes heroic statistical assumptions necessary when parametric econometrics is applied to the study of terrorism. This increases the reliability of explanations while...
Paper Details
Title
Predicting Terrorism with Machine Learning: Lessons from “Predicting Terrorism: A Machine Learning Approach”
Published Date
Nov 29, 2018
Volume
24
Issue
4
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