Artificial Intelligence and Comparative Political Research: Algorithmic Governance, Computational Methodology, and Democratic Transformation Across Political Systems

Description

the data supports the argument that artificial intelligence is fundamentally transforming comparative political inquiry and governance systems. Political institutions increasingly operate within algorithmic environments where governance decisions are mediated by data infrastructures, predictive systems, and computational rationalities. Consequently, comparative political science must evolve toward interdisciplinary frameworks capable of analyzing both institutional structures and computational governance processes simultaneously.

Steps to reproduce

The methodology integrates comparative politics, institutional theory, and computational governance analysis into a structured and reproducible framework. It demonstrates that AI governance must be understood through the interaction of technology, institutions, and democratic systems. The study provides a transparent and replicable approach for analyzing how algorithmic systems reshape governance across diverse political environments, emphasizing interdisciplinary integration as essential for future political science research.

Institutions

• Tribhuvan University

  Bagmati Province, Kathmandu

Categories

Funders

• University of Oxford

  Oxford

Licence