Intersectional Data Governance

Data systems increasingly determine who can access services, finance, protection, and opportunity. When these systems are designed without attention to how different aspects of someone’s identities overlap, they can unintentionally exclude, disadvantage, or harm certain groups.

In that context, this resource is designed to support Policymakers, Data Practitioners and Technical Leads, and the Civil Society in applying intersectional lens to make sure that data systems work well for everyone, not just for those whose lives fit neatly into existing categories.

Policy Maker

Ignoring intersectionality in data systems creates systemic bias and regulatory risk, causing policies designed for a “standard” user to fail at the “last kilometer” and produce gaps between intent and real-world outcomes.

Data Practitioners and Technical Leads

Ignoring overlapping identities in system design creates functional failures, undermining trust in digital systems and causing low program uptake because technical requirements mismatch users’ lived realities.

Civil Society

By using an intersectional lens, Civil Society Representatives can translate the complex, overlapping realities of marginalized people into the technical proof needed for advocacy.