From vaccine distribution to police surveillance to social service providers, data-driven decision-making impacts all of us, requiring everyone involved to take a close look at what assumptions are being made in the data, whose perspectives are represented in algorithms, and how the impacts may disproportionately affect different communities. Whether you’re a data-informed decision-maker, a database administrator, or just getting started as a data analyst, you play a critical role in fighting for equity in data. This workshop is designed to introduce attendees to the concepts of data equity and data ethics, along with frameworks to start applying better data practices to your current project right away. This session will go beyond theory to provide data practitioners with a tactical toolkit to directly address diversity, equity, inclusion, and accessibility in their daily work, their teams, their organizations, and the data field more broadly.
Session Type60 minute workshop
- Define equity in their data context and understand how the collection and categorization of data relates to equity.
- Understand how power dynamics and bias are reflected in data, and practical methods to embed ethical practices into data projects.
- Apply learnings and recommended data equity frameworks to their specific projects in order to foster a more equitable data ecosystem.