Capybara: AI-assisted school coexistence and bullying prevention

Capybara is an applied platform for school coexistence and bullying prevention. It uses a brief, age-appropriate interaction to map classroom relationships and transform those interactions into evidence about cooperation, reciprocity, integration, leadership, isolation, and group fragmentation.

The platform supports school teams by identifying early relational signals, prioritizing preventive action, and providing clearer evidence for follow-up. It builds on CRiSS-LAB research in experimental game theory, social networks, cooperation, and learning environments.

Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.

Carlos Rodriguez-Sickert
Carlos Rodriguez-Sickert
Research Center for Social Complexity (CICS), Government School, Universidad del Desarrollo.