We are a research lab working at the intersection of information visualization and uncertainty communication. Our mission is to combat misinterpretations and overconfidence in data by developing visual representations and human-in-the-loop tools that express uncertainty and align with how people think. Topics we like include sampling-oriented uncertainty visualizations, eliciting and modeling beliefs about data, automated visualization reasoning and generation, and Bayesian statistics.
The MU Collective is directed by Jessica Hullman and Matthew Kay of Northwestern University.