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
Associate Professor, Data Science Institute, School of Engineering, Universidad del Desarrollo, Chile. Head of CRiSS-LAB.
Cristian Candia studies how societies transform information into collective relevance through attention, memory, preferences, and coordination. His work combines computational social science, network science, AI, and large-scale behavioral data to understand how groups, institutions, and societies decide what matters.