
Simulating Digital Twins of Human Behavior
Field
Semester
Project Overview
Using survey data from 2,000+ participants and 500+ questions, the team will create simplified AI-based “digital twins” to predict human responses to unseen questions. They will measure accuracy at the individual and group level, replicate classical psychological effects, and reflect on ethical issues like bias, representativeness, and medical applications.