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Machine Learning and Data Science in Politics

1 January 1970
Academic / Journal Article
Publisher : MIT

18566

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.

Author(s) :

Raymond Wang

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Key topics

Data Science for social impact

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Technology for Social Change and Organisational Efficiency

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