The Data Equity Framework is a process that helps you to identify the many key choices you’ll have to make in a data project and provides tools and strategies to help improve your choice-making to better align with your equity goals. The other day someone raised a...
The Identity Sorting Dials are a really useful tool to start (again, I’ll say start) thinking about the interplay between human considerations like fit (“can I see myself in this category”) and ease (“how difficult is it for me to interact with this data process”) and...
This article begins a 4 part series on what We All Count calls Identity Sorting Dials. “If I want to be inclusive on my survey, shouldn’t I use as many identity options as possible?” “If we want our results to be statistically significant, aren’t we going to need to...
One of the best ways to talk about some of the equity challenges posed by the data science process is what we like to call the “bowtie”. The ends of the bowtie are almost always broader than the knot at the center, and it’s how you tie the knot that keeps the bowtie...
It’s that time of year again: We All Count’s creative director has worked up 5 new data equity posters and they are awesome! What started as an outlet for him to vary from our color scheme has blossomed into our new favorite tradition. Click here to buy...
Everytime I see a stat like “25% of respondents are Black”, I see only one piece of a four-piece puzzle filled in. With only this piece, I don’t know how to use this information. I don’t know if it matches the category from my dataset, I...