TwinSight is a semantic simulation layer that enhances Smart City Digital Twins by adding a
personalized decision-support interface and lightweight simulation capabilities. Without altering core infrastructure, TwinSight enables users to test "what-if" scenarios through a semantic data
lake and agent-based models. Personalized dashboards adapt visual complexity and interaction to user roles and cognitive preferences, empowering city leaders, planners, and residents alike to understand and respond to emerging challenges with clarity and speed. TwinSight helps cities move from passive monitoring to proactive, inclusive planning.