Step three of our Data Equity Framework is Project Design. This is where your big “why” turns into a concrete “how.” In quantitative projects, we need to translate general questions into hard numbers. For example, if our interest can be expressed like “how is the...
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...
This is a quick tool that you can use when examining the equity implications of your data relationship. To learn about data relationships and the interplay of price, value, ownership, and profit, check out the original article here. Data equity is about power...