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...
The following is an excerpt from Heather Krause’s 2022 Keynote: “Who is the Data Privileged Person?”. So, a statistical model in a data project is simply all of the relationships between variables setup in the way that is the modeller’s best possible...
How much water per bouquet? If we watered them all using the average required per bouquet, we’d over water one and underwater one. What’s the problem: we’re using the denominator of bouquets instead of flowers. Defining your denominator is as important as defining...
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...