Abstract

Deliberative democracy relies on well-designed institutional frameworks-like participant selection, facilitation, and decision-making. Yet identifying the best design for a given context is challenging, as real-world and lab-based studies are often costly, time-consuming, and difficult to replicate. This commentary proposes Digital Twin (DT) technology as a regulatory sandbox for deliberative democracy. By simulating dynamic, data-driven models of real or synthetic communities, DTs allow researchers and policymakers to test alternative designs through controlled "what-if" scenarios, free from real-world constraints. The commentary also examines limitations and key directions for future research.