AgentSociety 2: An Integrated Research Environment for Executable Social Science

Jul 15, 2026

AgentSociety 2 is a new research environment that integrates large language model (LLM) agents as both AI social scientists and simulated participants, automating the end-to-end workflow of social science research. The system enables hypothesis generation, experiment design, simulation execution, result interpretation, and manuscript drafting across micro, meso, and macro social scenarios. It demonstrates the ability to reproduce qualitative patterns from prior studies and supports large-scale, auditable simulations.

Why it matters: This work advances computational social science by providing a scalable, reproducible, and auditable platform for automating complex social experiments with AI agents.

Full story at: arXiv Computers and Society ↗