Communicating Statistical Uncertainty to Non-Expert Audiences: Interactive Disease Mapping

Communicating statistical uncertainty to non-expert users is essential to translating data driven insights to create impact in the 'real world'. Embedding uncertainty in data visualizations however, can be a significant design challenge due when communicating to non-expert decision makers, and has been avoided in the past due to fear of overwhelming or confusing the audience. This research aims to explore interactive disease mapping features that enable the user to explore the data and reveal the uncertainty within the information presented. Understanding uncertainty enables the user to be aware of the limitations of data driven insights, and leads to more informed decision making processes.