We Need to Fill in the Blanks in our Social Identity Data
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...
What Data Relationship are You In?
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...
Research Brief: Paying Respondents for Data
Does Paying or Compensating Survey Respondents Negatively Affect Response Quality or Reliability? At We All Count, we think a lot about how to increase the equity of the data gathering process. We make a living off of the data science ecosystem and so do many of our...
Getting Past Identity to What You Really Want
Too often in data science, we use identity categories. We once were hired by clients involved in a youth mental health situation where they needed to target scarce resources (why the resources were scarce is an entirely other conversation for a different...