Responsible Data Visualisation


/ October 28, 2014

A list of questions and considerations when designing your data visualizations to help you recognize and avoid bias and misrepresentation.

Where this comes from: This resource was created by practitioners at the Responsible Data Resource Sprint in Budapest.
Status: This resource could benefit from your input!
Maya Richman

About the contributor

Maya is an interdisciplinary technologist, researcher and improvisational electronic musician based in Berlin. In 2012, she worked with Development Seed, building websites and interactive maps. Later, she worked as a research assistant for Gabriella Coleman investigating the politics of hackers, and as a radio show host for a feminist, artist-run centre. She is now working with organizations of all sizes to influence their security culture, in addition to managing and developing new internal tech processes for a distributed organization.

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