Collective Memory Decay in Science
This ANID-FONDECYT Regular 2026 project studies how science remembers and forgets retracted research. The project asks why invalidated studies can continue to be cited and influence scientific agendas after formal correction.
The research combines large-scale bibliometric data, citation networks, natural language processing, artificial intelligence, statistical physics, and models of collective memory to identify the conditions under which retracted research fades, persists, or spreads.
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.
My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.