Machine Learning and Data Science in Politics

This paper explores the applications of machine learning and data science within the political sphere. It examines how these technologies are used for political representation, voter analysis, campaign strategies, and policy forecasting. The document provides insights into the methodological approaches and ethical considerations involved in leveraging data-driven techniques to understand and influence political processes. It highlights the growing importance of data science in modern political discourse and decision-making.