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Identifying the Complex Causes of Civil War
A Machine Learning Approach
Authors
148 pages
More about the book
Utilizing machine learning, this book explores the intricate causes of civil conflict by identifying key predictors and their complex interrelationships. It presents a comprehensive review of existing literature and advocates for machine learning as a tool for analyzing conflict dynamics. The authors detail their data set and methodology, examining institutional, economic, and sociological factors contributing to civil unrest. This work is aimed at scholars in economics, political science, sociology, and artificial intelligence, providing insights into conflict prevention strategies.
Book variant
2021, hardcover
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