Designing for Intersectional Data Sovereignty by Camille Nibungco

Presented by Camille Nibungco

Our datasets that we train our models on, implement into our applications, and inform users with are inherently biased. How might we mitigate recreating systemic inequities in our data? Using an intersectional lens based on the Design Justice practices and values, let's unpack some ways we can design for a more equitable future.

Camille Nibungco
Fellow, Mapping Feminist LA

Camille Nibungco is a designer and researcher currently based in Los Angeles, CA. They are currently involved in the Angelena Atlas project, an crowd-sourced community resource for Angelenos. They are interested in decentralized technologies as a tool for working class sovereignty, labor and grassroots change.

 

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