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Building Models from Empirical Conflicts focuses on the development of analytical frameworks and models based on real-world conflict situations to better understand their causes, dynamics, and outcomes. It examines how data and evidence from historical and contemporary conflicts are used to identify patterns, key actors, motivations, and strategies, which can then be translated into structured models for analysis and prediction. The topic highlights the importance of empirical observation in refining theoretical approaches and improving the accuracy of conflict resolution strategies. Course objectives include enabling learners to understand how empirical data informs conflict modeling, analyze real-life conflict case studies, identify patterns and variables in conflicts, and develop skills to construct and apply models for analyzing and resolving conflicts effectively.
This lecture is part of PCR 402 Conflict Modeling and Peace Building in the Peace and Conflict Studies department. The course has 28 recorded lectures across 14 series, all free to watch.