The “Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics” paper was accepted to IEEE VIS 2024. Curio is a framework for collaborative urban visual analytics that uses a dataflow model with multiple abstraction levels (code, grammar, GUI elements) to facilitate collaboration across the design and implementation of visual analytics components. Curio allows users to build and iterate on dataflows with reusable modules, supporting collaborative design and tracking changes. We evaluated Curio with domain experts on urban accessibility, climate, and sunlight access.

Video overview, source code, examples, and tutorials are available here: https://urbantk.org/curio/

The paper was led by PhD student Gustavo Moreira under EVL faculty and Computer Science assistant professor Fabio Miranda.

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