This article examines the matrix of vulnerabilities that low-income populations face from the widespread collection of big data and predictive analytics.
This presentation focuses on data-driven and analytic strategies for identifying and verifying medical frailty exemptions within Medicaid work requirements.
This presentation from Steph White, Cross Enrollment Coordinator at the Michigan Department of Health and Human Services offers an in-depth example on implementing cross enrollment with WIC and general tools for cross enrollment.
The Hawai‘i Department of Human Services (DHS), in partnership with the Hawai‘i Department of Health (DOH) and the Children’s Healthy Living Center of Excellence (CHL Center) at the University of Hawai‘i at Mānoa, is building foundational capacity to share and analyze administrative data across the SNAP (Supplemental Nutrition Assistance Program) and the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). This groundwork will enable Hawai‘i to increase access to nutrition support programs, in alignment with Hawai‘i’s ‘Ohana Nui framework, which aims to dismantle intergenerational poverty.
American Public Human Services Association (APHSA)
This toolkit offers strategies and tools to help agencies build the culture and infrastructure needed to apply data analysis routinely, effectively, and accurately – referred to in this publication as “sustainable data use.”
The report examines pilot projects in multiple states that utilized data matching and targeted outreach to enroll eligible families with young children in the WIC program, demonstrating the effectiveness of this approach in increasing participation rates.
