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...
“We are a small population of people because of genocide. No other reason. If you eliminate us in the data, we don’t exist. We don’t exist for the allocation of resources”. – Abigail Echo-Hawk, Pawnee, Director of the Urban Indian Health Institute and Chief...
So, you’ve heard that you should never average averages. The person who told you this “rule” was probably well-intentioned; someone who didn’t want you to make a mistake by taking an average of averages without understanding the implications of doing so....
Here at We All Count, we spend a lot of time talking about research questions. Step 3 of the Data Equity Framework is Project Design, and that’s where you want to embed equity while crafting your research question(s), but in order to that, you need to know what a...
The pandemic disruption created a problem for the UK education system: how to move students forward without being able to run their typical exams and tests. In response to this, testers designed an algorithm they would use to assign probable scores instead. It worked...
A map isn’t just a map. The work of alternate cartographer Denis Wood often reminds me that maps are equal parts poetry and science. They can also be some of the most insidious and powerful tools of cultural oppression. Maps are a very special kind...