Demonstrate how Urbanite is a tool that lowers barriers for urban experts to build, document, and share complex analytics workflows supporting environmental risk assessment.

• Urbanite uses a dataflow framework to load building and surface data, run a SynxFlow flooding simulation for a Chicago-area town, and visualize results with UTK nodes.
• Users can inspect results, adjust simulation parameters, branch scenarios through provenance, and document workflows via dataflow- and node-level explanations
• Risk assessment analytical goals are specified in natural language and workflows are generated with LLM assistance.

• Urbanite enables transparent and reproducible analyses across domains.
• Empowers domain experts to explore, communicate, and share complex scenarios minimizing technical barriers.
• Increases access to weather-smart decision making.

The Urbanite framework enables urban experts to run, adjust, and document complex flood simulations through an intuitive dataflow interface. By integrating building and surface data with the SynxFlow simulation engine and UTK visualization tools, Urbanite allows users to explore risk scenarios, adjust parameters, and generate transparent, reproducible workflows. Natural-language inputs and LLM-assisted generation further reduce technical barriers, making advanced environmental risk assessments more accessible to planners, researchers, and decision-makers.

Moreira, G., Ferreira, L., Veiga, C., Hosseini, M., & Miranda, F. (2025). Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics. IEEE Transactions on Visualization and Computer Graphics.
Preprint: https://doi.org/10.48550/arXiv.2508.07390

Publicly available at: https://urbantk.org/urbanite

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