Computational Research in Social Science Lab
Network science, AI, and behavioral data for public-impact research
CRiSS-LAB studies collective intelligence, collective memory, learning, cooperation, mobility, polarization, and institutional decision-making using network science, causal inference, experimental game theory, machine learning, and large-scale behavioral data.
About CRiSS-LAB
CRiSS-LAB is the Computational Research in Social Science Lab at Universidad del Desarrollo in Santiago, Chile, directed by Cristian Candia, Ph.D. We study collective intelligence, collective memory, education, school coexistence, mobility, cooperation, polarization, culture, and institutional decision-making using network science, causal inference, artificial intelligence, experimental game theory, machine learning, and large-scale behavioral data.
Our work connects rigorous research with applied platforms such as Lixandria, Discolab, PriorizaChile, SocialRec, MúsicaCL, and Capybara, translating computational social science into usable evidence for students, schools, public institutions, organizations, and civic debate.
Cristian Candia, Ph.D.
Head of CRiSS-LAB.
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