Technology Innovation and Venture Creation

This course helps students move from research ideas and early prototypes to usable ventures. It covers problem discovery, customer and stakeholder validation, evidence-based product design, technical feasibility, responsible AI, impact metrics, business models, and go-to-market strategy.

The course connects computational social science, data science, and AI with real organizational needs: schools, public institutions, companies, civic platforms, and social-impact startups.

Cristian Candia
Cristian Candia
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Director of CRiSS-LAB.

Cristian Candia is a computational social scientist studying human and collective behavior with large-scale data, network science, experiments, and AI.