A Beginner-Friendly Overview of Algorithmic Economics

The book explores the transition from traditional data-driven approaches to algorithmic methods, highlighting key applications in Economics. Readers will gain insights into future trends shaping the field and into key algorithmic techniques in economic and financial contexts. The book does not include any code and does not assume prior knowledge.

Chapters:

1. Transition from Data-Driven to Algorithmic Economics
2. Careers in Algorithmic Economics
3. Importance of Ongoing Education in Algorithmic Economics
4. Algorithmic Economics in the Energy Sector
5. Integrating Software Engineering for Economic Modelling
6. The Importance of Quantitative Finance in Energy Markets
7. Climate Economics/Finance with Algorithmic Economics
8. Optimization
9. Understanding Machine Learning
10. Risk Management in Algorithmic Economics
11. Real Options Analysis: An Introduction
12. Putting It All Together
13. Future Trends in Algorithmic Economics
14. Real-World Examples of Algorithmic Economics
15. Concluding Remarks