Our goal is to explore social issues—and how they relate to race, gender, class, sexuality, ability and age—through data-driven discussions and information visualizations.
Data Driven Discussions
How do numbers help us better understand how these systems of oppression overlap? And how can we use data as a driver for socially impactful story-telling? We hope to use this blog as a space where we can learn to make use of data-journalism and mining tools to explore the issues that matter most to us.
We want to unpack academic text into design-friendly, accessible visualizations so ideas about oppressive social structures can reach a wider audience.
Intersectional Analyst was co-founded in 2015 by Lorraine Chuen and TK Matunda.
If you have any questions, comments, or suggestions about what we should cover next, please contact Lorraine at firstname.lastname@example.org.