Urbanite: A Dataflow-Based Framework for Human-AI Interactive Alignment in Urban Visual Analytics

Urbanite is a framework for human-AI collaboration in urban visual analytics that leverages a dataflow-based model allowing users to specify intent at multiple scopes, enabling interactive alignment across specification, process, and evaluation stages. The framework incorporates features for explainability, multi-resolution task definition across dataflows, nodes, and parameters, and supporting interaction provenance based on findings from a survey identifying existing challenges.
Team
- Gustavo Moreira (UIC)
- Leonardo Ferreira
- Maryam Hosseini (MIT)
- Carolina Veiga (UIUC)
- Fabio Miranda (UIC)

