This project investigates how ideological divergence shapes coalition formation in the Netherlands' multiparty democracy. We analyze Tweede Kamer speeches, historical coalition patterns, and seat distributions to rank realistic majority coalitions using a weighted scoring system.
Our model combines machine learning, rule-based logic, and historical data to evaluate coalitions based on ideological fit, policy alignment, historical precedent, and institutional viability. We focus especially on:
This project is a group project during my BSc Computational Social Science
