A Beginner-Friendly Overview of Algorithmic Military Geopolitics

The book provides a beginner-friendly, no-code overview of military geopolitics, emphasizing the shift from traditional approaches to algorithmic and machine learning techniques. Readers will explore case studies, challenges, and future trends, gaining insights into the use of data science and optimization in military contexts. The book is designed for beginners, requiring no prior technical expertise.

Chapters:

1. Military Geopolitics and Algorithmic Military Geopolitics
2. Key Alliances in Military Geopolitics
3. Optimization, Machine Learning & Data Science in Military Geopolitics
4. Algorithmic Methods in Geopolitical Analysis
5. Applications in Military Geopolitics
6. Case Studies in Military Geopolitics
7. Intelligence Operations and the Use of Algorithms
8. Challenges in Algorithmic Military Geopolitics
9. Future Trends in Algorithmic Military Geopolitics
10. Predicting Military Expenditure Using Machine Learning
11. Immigration Analysis with Data Science & Machine Learning
12. Predicting Casualties Using Machine Learning
13. Scenarios for Nuclear War with Machine Learning
14. Stability of a Country and Movements for Autonomy
15. Developing Strategies for War Preparation
16. Geospatial Analysis
17. Psychological Operations and Machine Learning
18. Supporting Humanitarian Operations with Data Science
19. Predictive Models for Conflict Resolution
20. Optimizing Coordination Between Intelligence Agencies
21. Game Theory, Agent-Based Modelling, and Non-State Actors
22. Optimization for Drones and Swarms
23. Concluding Remarks