Computational Social Science
This course area introduces computational approaches to human behavior and social systems. It connects theory with data pipelines, network thinking, experiments, digital traces, text analysis, and responsible interpretation of large-scale observational data.
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.