Applied AI | CRiSS-LAB

Capybara: AI-assisted school coexistence and bullying prevention

Mon, 01 Sep 2025 00:00:00 +0000

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.

From classroom games to evidence for school coexistence

Mon, 01 Sep 2025 00:00:00 +0000

Many school coexistence problems are relational before they become visible incidents. Isolation, asymmetry, low reciprocity, and fragmented groups can stay hidden when schools rely only on direct reports or retrospective surveys.

Capybara translates a brief student interaction into relational evidence. By combining experimental game theory, network science, and AI-assisted reporting, the platform helps schools identify early signals, prioritize prevention, and support professional judgment with clearer data.

The goal is not to replace school teams. The goal is to give them a structured view of the classroom so they can act earlier, with better evidence and less dependence on anecdotal perception.

Technological Entrepreneurship and Applied AI

Fri, 01 Aug 2025 00:00:00 +0000

This teaching area helps students move from research ideas and prototypes to usable products. It covers problem discovery, evidence-based product design, technical validation, impact metrics, responsible AI, and the translation of computational social science into tools for organizations, schools, and public institutions.