Pay equity analysis is one vital way of embedding equity with data. Not only is it the law in an increasing number of places, but it’s the right thing to do! There are numerous ways to conduct a pay equity analysis, some much better than others. In this series, we’re...
The first stage in the WAC Data Equity Framework is ‘Funding’. Understanding the interplay between money, data, and decision making is essential to measuring the equity balance in your data projects. We’ve found that it can feel very daunting to properly describe the...
Data is a commodity. Do your survey respondents feel data-rich? One of the things that made me uncomfortable when I first started working as a data scientist was the power imbalance in the data collection methods I was being trained in. One of my very first jobs was...
In the We All Count Data Lifecycle, the first step is Funding. Funding is often overlooked as a factor in data equity because it’s the hardest to change. Data scientists and data project workers often consider how to increase equity within their projects and...
