The Model: A reflection of the world as the modeller understands it.

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 that…

Early in my career, I was working on a project using education data, and we were having a meeting with policymakers, school principals, and a team of researchers. When one of the principals asked a question about what assumptions were used in crafting one of the models, I was perplexed…

Learning #1: Don’t Call it “Indigenous Quantitative Methods”

A few months ago I set out to create a research brief of Indigenous Quantitative Methodologies. I wanted to start a survey of just some of the existing ways that Indigenous cultures around the world create knowledge and solve problems with data.

I had a few eye-opening experiences working with…

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 project members and the people who read these posts. …

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 time….) at providing support to young people in our community who were at risk for mental health…

Heather Krause

Data scientist & statistician (one of only 150 accredited PStats worldwide). Providing data science services grounded in an equity lens. https://weallcount.com

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