Responsible Data Visualization

 

Angus Forbes

Computational Media, UC Santa Cruz

 

Data visualization tools aim to help researchers find patterns and gain insight into complex datasets. However, visualization techniques are effective only if the data sources are reliable and if the models used to analyze the data are appropriate. Promoting transparency through emphasizing the provenance of data and the contexts in which the data is situated is an increasingly important component of contemporary data visualization. Creating effective representations and interactions is both an art and a science, and visualization benefits from an iterative design process which helps to clearly identify analysis tasks and encourage exploration while mitigating bias. This talk looks at recent projects from the UCSC Creative Coding Lab and discusses human-centered data visualization strategies.