[RE]MAP is a participatory simulation environment that uses cartographical language to express the notion of power and control. Built using real-world urban planning logic, political constraints, and socio-economic data, the project allows audiences to alter parameters as they move through the space. Each individual adjusts variables based on their instincts, values, or biases. These micro-interventions accumulate, transforming the system in ways that reveal how personal choices scale into collective consequences.

Rather than functioning as a predictive tool, [RE]MAP operates as a performative experiment in shared governance. It invites audiences to confront the complex trade-offs behind every spatial transformation and to experience how cities are continually rewritten through the interplay of competing forces. It stages a dialogue between contending ideologies showing that a city is never merely a collection of bricks and asphalt but a tapestry woven from convictions.

Under the hood, [RE]MAP unfolds as a choreography of specialized AI agents working in concert. One agent, steeped in urban reasoning and analytical interpretation, continually ingests socio economic data and uses statistics and policy parameters to model impacts on equity infrastructure and community wellbeing. Meanwhile a second agent takes charge of spatial planning and layout generation. It translates the analytical output into street grids zoning parcels and transit corridors that feel plausible and coherent. Finally a third agent handles aesthetic rendering. It applies lighting textures, material finishes and atmospheric effects to turn abstract plans into a vibrant immersive projection.

Through repeated computational simulations, [RE]-MAP investigates the evolution of different typologies of urban and natural landscapes. These iterative models and algorithmic analyses illuminate the subtle yet profound impacts of spatial interventions, unveiling patterns of access, equity, and stratification within the built environment.