New Interactive Webinar: Equity in Data – Using Checklists
Ready to improve the equity and ethics in your data processes? Need to share the ideas and applications of the We All Count framework with your team in an interactive and affordable way? Want to develop your professional skills in a vital emerging topic area? Schedule...
Video: Modeling Data for Equity
We often think of data analysis as being objective. And in many cases, those presenting their analyses to us would prefer it that way. But, no matter how much we hope for it, data analysis is not objective. When we model data, we decide what factors are important to...
Why We Need Intersectionality in Our Demographic Data
When you incorporate demographic data into your research, you’ll need to consider how you’ll represent the lived experiences of a diverse group of humans.
Video: Impact Reporting – How Averages Hide Equity Issues
Check out our new video based on our post about impact evaluations and averages!
How to Make the Shift to Equitable Evaluation
This week, we’re welcoming guest author Laura Sundstrom of Vantage Evaluation, who is sharing her experience at the Equitable Evaluation Design Lab.
Better for Who? Examining Equity in Impact Evaluations
Data-based impact evaluations are an essential way for nonprofits to understand how their work is affecting the people they aim to help. But how do we determine what constitutes an improvement? What is our yardstick for success? In many cases, impact evaluations look...
We All Count Book Club (Plus)
Books Age of Surveillance Capitalism (Shoshana Zuboff) Algorithms of Oppression: How Search Engines Reinforce Racism (Safiya Umoja Noble) Artificial Unintelligence (Meredith Broussard) Biased: Uncovering the Hidden Prejudice That Shapes What We See, Think, and Do...
Is the “Interviewer Effect” Skewing Your Survey Results?
Did you know that who collects your data can also affect it? It’s called the interviewer effect, and it’s crucial to consider it when using social surveys.
Fresh Apples to Old Oranges: A case study in why data biographies aren’t only useful, they’re ethical.
It’s not ethical to rank countries without giving us details on the data. It’s not equitable to rank countries on data from wildly different years. Where is the data biography for the new OECD Social Institutions and Gender Index? I do a lot of work in the area of...
An Introduction to the Data Biography
Building a data biography, a comprehensive background of the conception, birth and life of any dataset is an essential step along the path to equity in data science. This includes all data: data that you collected, data that comes from large trusted sources, data that comes from open data libraries, data that comes from peer-reviewed research. All data.
