Elevating Data Equity in Practice

In any role where you work with data or use data to make decisions, issues of data equity are emerging as an essential consideration. A more equitable approach to data involves asking questions such as: what assumptions or perspectives are built into the data? Who defined the categories and methodology, and why? What is and is not represented in the data, and why? How is equity defined in this context? These answers can help us develop a better approach to our data work, but implementing new practices into projects and teams can be challenging. Hear from our panelists on their perspectives on data equity and learn from how they’ve brought these practices to their work to help build a more equitable future.