Teaching

Cristian Candia teaches graduate and undergraduate courses at the intersection of network science, data science, causal inference, complex systems, computational social science, and technological entrepreneurship.

Network Science and Complex Systems
Current UDD course on complex networks, graph analytics, null models, communities, diffusion, and graph machine learning.
Last updated on May 29, 2026
Project
Complexity Global School for Emerging Political Economies
Invited faculty participation in the Santa Fe Institute Complexity Global School for Emerging Political Economies 2025.
Last updated on May 29, 2026
Project
Causal Inference for Data Science
Course module on causal questions, identification, quasi-experiments, observational data, and policy evaluation.
Last updated on May 29, 2026
Computational Social Science
Training in large-scale behavioral data, social networks, experiments, AI, and theory-driven analysis of social systems.
Last updated on May 29, 2026
Technological Entrepreneurship and Applied AI
Course and mentoring area on turning data science, AI, and network science research into usable products and public-impact ventures.
Last updated on May 29, 2026