Status: Current Project (DANGA Lab)

Funding: High-performance computing resources, student researcher support

Abstract: This flagship project of the DANGA Lab integrates multiple data modalities—newspapers, photos, video recordings—to understand escalation and de-escalation dynamics in collective violence events. The project combines computational analysis with detailed qualitative case studies.

Methods: Multi-modal data analysis, computational text analysis, video ethnography, machine learning

Data Sources:

• Newspaper reports of riot-like events
• Photographic documentation
• Video recordings of collective violence

Team: Student researchers, high-performance computing collaboration

Implications: Developing new methodological approaches for understanding complex social phenomena while advancing theoretical knowledge of violence dynamics.