Complex Systems

Juan Illanes presented work developed with Ignacio Toledo, Ignacio Ormazábal, and Cristian Candia at a statistical physics meeting.

Collective memory can be quantified through the collective attention received by cultural icons, artifacts, people, scientific ideas, …

La Tribuna profiled Cristian Candia after the CCS 2025 Best Lightning Talk Award for research on political polarization and artificial intelligence.

Cristian Candia was awarded Best Lightning Talk at the 21st Conference on Complex Systems in Siena, Italy, for Neural Network Nominate, a method for mapping mass political ideology from revealed preferences.

Cristian Candia participated as invited faculty in the 2025 Complexity Global School for Emerging Political Economies, organized by the Santa Fe Institute and Universidad de los Andes.

Keynote at the Computational Social Science Satellite of the Conference on Complex Systems 2025 in Siena.

Award-winning lightning talk at the Conference on Complex Systems 2025 in Siena, presenting an interpretable neural-network approach to mapping mass political ideology from pairwise policy preferences.

Course on complex networks, graph analytics, null models, communities, diffusion, and graph machine learning.

Invited faculty participation in the Santa Fe Institute and Universidad de los Andes Complexity Global School in Bogotá.

The article covers his training in complex systems and an interdisciplinary project on informal and illicit economic activities.

Abstract: [ENG] The unprecedented growth in social media use and large-scale information collection pose new threats, but also offer new opportunities. Modeling and managing complex interactive systems requires the analysis of social and technological signals to gain new insights into human society and individual behavior.

Abstract: [ENG] We discuss two projects that quantify the consequences of our network location for our access to resources and rewards in science. First, we investigate the dynamics of international science through the lens of national citation preferences, introducing a novel measure to characterize these processes and enabling a network analysis of global knowledge production.