Collecting and Analyzing Social Identity Data With an Equity Lens

Register for this webinar here!

When working on data projects with an equity goal, we often want to use social identity or demographic data such as race, gender, and income. Using this type of data presents tricky equity issues around discrimination, privilege, and stereotypes. This webinar will take a look at the strengths and risks of working with social identity data and provide some tools to help you use this data from an equity perspective.

This is the second webinar in a four-webinar series that is available at no cost to California library workers, brought to you by the California State Library and Pacific Library Partnership as part of the yearlong initiative Community-Centered Libraries: Harnessing the Power of Data to Equitably Serve Your Community. Please contact Linda Hofschire, Community-Centered Libraries project manager, if you have any questions.

Presenter Bio: Heather Krause, PStat, is a data scientist and the founder of We All Count, a project for equity in data. We All Count works with teams across the globe to embed a lens of equity into their data products. Heather is a data scientist with over 20 years of experience building tools that improve practices and systems. Her cutting-edge approach to project design, data collection, analysis, reporting and visualization have placed her in high demand as a project lead, a crisis consultant and a speaker on the subject of data equity.

This Equitable Data Practices webinar series is brought to you by the California State Library and Pacific Library Partnership, and is part of the yearlong initiative Community-Centered Libraries: Harnessing the Power of Data to Equitably Serve Your Community. Please contact Linda Hofschire, Community-Centered Libraries project manager, if you have any questions. All webinars will be recorded.

To view the recordings of previous webinars in the series, please go to https://www.library.ca.gov/services/to-libraries/ccl/webinars/.

CALIFORNIA STATE LIBRARY AFFILIATED