BioBioChile covered Cristian Candia-Castro's data-driven analysis of famous lives

Cristian Candia
Last updated on Jun 2, 2026 1 min read
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BioBioChile covered work by Cristian Candia-Castro, César Hidalgo, and Cristián Jara using data, algorithms, and natural language processing to reason about global fame and the expected number of famous deaths in 2017.

The article is useful public coverage for the broader research line connecting computational social science, cultural analytics, collective memory, public attention, and data-driven storytelling.

Media Coverage Collective Memory Computational Social Science Natural Language Processing Cultural Analytics
Cristian Candia
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.