Insights from the Equity in Practice Learning Community: Lessons from a Cohort of Ten Communities

Abstract

Cross-sector data sharing and linkage can transform information about individuals into actionable intelligence to build stronger, healthier, and more just communities. Yet, the use of cross-sector data can also reinforce legacies of racist policies and produce inequitable resource allocation, access, and outcomes. To increase the benefits of data use and mitigate risk, we must embed data equity practices throughout the data life cycle and provide mechanisms for community voice and input. However, few integrated data systems are doing this well. To address this gap in the field, Actionable Intelligence for Social Policy (AISP) designed a 30-month technical assistance program–the Equity in Practice Learning Community (EiPLC)–to collaboratively develop guidance and models for centering racial equity in data integration. This session will highlight the curriculum, accomplishments, and lessons-learned from this learning community representing the work of 10 jurisdictions across the U.S. As of November 2025, all 10 sites have completed the program and while the formal TA has ended, these efforts continue, though progress is non-linear. An independent evaluation found that site team members indicate growth as individuals and as site teams. Key features of success include a focus on building relationships, establishing working norms, grappling with racialized histories, and interrogating the role of structural racism and systems of power. Importantly, each site has successfully incorporated equity-centered practices into their governance processes. This session will discuss these successes, as well as the challenges of working at the intersection of data + equity in the U.S. at this moment.