When we use data to predict something, there’s more than one way to improve the equity of that process. The one that we usually start with is setting a tolerance level for the gap between the group our predictive model works best for and the one it performs worst at....
When it comes to data projects, one of the most powerful tools we use is what we call a Motivation Touchstone. It’s a document that you and your team can return to over and over for guidance when figuring out how to make effective and equitable decisions at every step...
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...
When we want to address equity in data science, we often need to talk about power and we sometimes need to talk about money. It can be useful to think about an individual’s data like a raw resource, you could call it something cheesy like “Dataonium”. There’s a reason...
When it comes to data projects, one of the most powerful tools we use is what we call a Motivation Touchstone. It’s a document that you and your team can return to over and over for guidance when figuring out how to make effective and equitable decisions at...
