Milena’s research is situated at the intersection of sociology, social psychology, and behavioral economics with complexity science and computer science. She studies patterns and dynamics that emerge from individuals’ behavior and interactions in social groups such as classrooms, organizational teams, communication networks, and online communities. She uses online experiments, network analysis, unsupervised machine learning, causal inference methods, and agent-based models in her research.
Human-machine social systems
Intelligent machines such as AI agents, robots, bots, and algorithms are social actors whose behavior and interactions are changing the social world.
Human groups and networks
Individual behavior such as reciprocity, susceptibility to social influence, and inequity aversion leads to unexpected collective outcomes.