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 and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.
My research interests include applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.