Connect with social sector colleagues to learn how to build equitable, client-centered data infrastructure.
About this event
This event will provide insights about building equitable, client-centered data infrastructure in the St. Louis social sector. Join the Social Policy Institute to connect with social sector colleagues and hear from national and local leaders about how organizations can build data infrastructure that centers on community benefit and promotes equitable outcomes.
Presenters provided insights on
- The potential of data collaboratives for improving health and social service delivery
- How equitable processes and infrastructure are critical for advancing equitable outcomes
- Equity considerations when choosing technology options for your organization and/or collaborative
Resources
- Event slides
- Slides from Karis Grounds – Community Information Exchange San Diego
- Leveraging Community Information Exchanges for Equitable and Inclusive Data. This site contains a suite of resources focused on building equitable Community Information Exchanges, or CIEs. The CIE Data Equity Framework is included among these resources.
- Tackling Data Dilemmas in Social Care Coordination. A white paper on Community Information Exchanges written by Paul Sorenson of the St. Louis Regional data Alliance and Greg Bloom of Open Referral.
- The Political Determinants of Health. This book by Daniel E. Dawes takes a critical look at how politics and policies impact the conditions that shape health outcomes. This resource was recommended by Riisa Rawlins-Easley.
Watch the recording
Speakers
Regina Greer
United Way of Greater St. Louis
Paul Sorenson
St. Louis Regional Data Alliance
Riisa Rawlins-Easley
St. Louis Regional Health Commission
Karis Grounds
Community Information Exchange San Diego
The Data for Social Impact initiative is a partnership between the Social Policy Institute at Washington University in St. Louis and the Mastercard Center for Inclusive Growth, in collaboration with an advisory committee, the St. Louis Regional Data Alliance, and data.org.