Open Questions about the Visualization of Sociodemographic Data

TL;DR

This paper discusses open research questions and challenges in visualizing sociodemographic data, emphasizing ethical considerations, potential biases, and the need for equitable design principles.

Contribution

It identifies key open questions and future research directions for visualization of sensitive sociodemographic data, promoting ethical and equitable practices.

Findings

Highlights ethical challenges in data visualization

Raises questions about bias and stereotypes

Suggests future research directions for the VIS community

Abstract

This paper collects a set of open research questions on how to visualize sociodemographic data. Sociodemographic data is a common part of datasets related to people, including institutional censuses, health data systems, and human-resources fles. This data is sensitive, and its collection, sharing, and analysis require careful consideration. For instance, the European Union, through the General Data Protection Regulation (GDPR), protects the collection and processing of any personal data, including sexual orientation, ethnicity, and religion. Data visualization of sociodemographic data can reinforce stereotypes, marginalize groups, and lead to biased decision-making. It is, therefore, critical that these visualizations are created based on good, equitable design principles. In this paper, we discuss and provide a set of open research questions around the visualization of sociodemographic data. Our work contributes to an ongoing refection on representing data about people and highlights some important future research directions for the VIS community. A version of this paper and its fgures are available online at osf.io/a2u9c.