A Machine Learning Based Model of Boko Haram / Terrorism, Security, and Computation (PDF)
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This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Haram's behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations.
After reducing Boko Haram's history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram's attacks.
Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.
Chiara Pulice worked on this project during her stint as a postdoctoral researcher at Dartmouth College in Hanover, New Hampshire. She received her PhD degree in Computer and Systems Engineering from the University of Calabria, Italy, in 2015. She was a Visiting Scholar at the Department of Computer Science of the University of British
James F. Brown is an alumnus of Dartmouth's Computer Science Department. He graduated with a master's in computer science in 2020. In 2018, he got his bachelor's in computer science from Southern Connecticut State University. At Dartmouth, James worked under V.S. Subrahmanian to develop machine learning models that can predict acts of terror. After graduating from Dartmouth, James went on to work in the private sector in New York City.
Jacob Bonen-Clark is currently pursuing a Master of Public Policy at Harvard University's Kennedy School of Government. Jacob received undergraduate degrees in Economics and Peace, War, and Defense from the University of North Carolina at Chapel Hill. He worked in finance and accounting at a midstream oil and natural gas company in Denver, Colorado from 2017-2020. Jacob will focus his studies at the Kennedy School on electoral politics and climate change.
- Autoren: V. S. Subrahmanian , Chiara Pulice , James F. Brown , Jacob Bonen-Clark
- 2020, 1st ed. 2021, 135 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030606147
- ISBN-13: 9783030606145
- Erscheinungsdatum: 11.12.2020
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- Dateiformat: PDF
- Größe: 4.15 MB
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