Eric
Araújo

My work bridges computer science and the social sciences, applying agent-based modeling and complex network analysis to questions of social dynamics. My current focus is the computational modeling of Christian and religious communities — including church polarization and the dynamics of faith communities — supported by the Calvin Research Fellowship and a Nagel Institute Fellowship. A complementary thread applies AI and large language models to early Christian texts to recover and better understand the lives and roles of women in the early church. Continuing threads include crime network topology and urban structure, political opinion formation, and epidemiological behavior spread.

Core methodologies: agent-based modeling and simulation, complex network analysis, social dynamics modeling, cognitive behavioral frameworks, machine learning.

Google Scholar · ORCID · PhD thesis