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. 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.