Over the course of this column, I’ve cited a wide variety of sources regarding gender, technology, data, and more. As everyone begins to compile their summer reading lists, I offer a formal selection of books and articles to peruse in your office, on the beach, or wherever you seek to practice equality in data work.
If you are new to equity work or are still learning why it is so important, the following two resources are a great place to start. They discuss the importance and ultimate meanings of equality and intersectionality, two concepts that are closely intertwined. These will help define the terms in the following books and articles and provide a solid foundation for you to discuss data equity issues.
- An Introduction to Equality via Stanford University
- Introduction to Intersectionality via The Babraham Institute
Gender and Data
Gender and data! This column and author’s bread and butter! These resources have been cited extensively throughout the course of my tenure with TDAN.com, but I highly encourage any interested parties to read them in their entirety.
- Making Every Woman and Girl Count via UN Women
- Invisible Women: Data Bias in a World Designed for Men by Caroline Criado Perez
Social issues and Data
As this column has progressed, our scope has broadened beyond gender issues in data. As you will know if you read the introduction to intersectionality listed above, gender is not the only aspect of identity undermined by current methods of data collection and analysis. These two resources discuss how race, social class, and more interact with the data world, specifically with regard to the education system.
- Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation by Jamila Dugan and Shane Safir
- Data Storytelling via the MIT Sloan School of Management
Happy reading! Feel free to share your thoughts in the comments below.