The general-purpose simulation of human attitudes, behaviors, and interactions could enable a laboratory for computational social scientists to test psychological, sociological, behavioral theories as well as to validate a broad set of interventions. For example, this approach could answer to how a diverse set of individuals respond to new public health policies and messages, react to product launches, or respond to major economic shocks. The goal of this Ph.D. thesis is to investigate how simulated individuals can be build leveraging large language models. The potential candidate should have a strong background in machine leaning, some experience in LLM-based social and role-playing agents and a interest on disciplines such as social sciences, and behavioral sciences. The selected candidate could be also a PhD candidate within the ELLINs doctoral school. Contact person: Bruno Lepri ([email protected])