Resources and Toolkits
SNAP PER Analytics Workgroup
Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.
Predictive Analytics for SNAP PER Reduction QC Data Workshop Summary
Workshop to foster collaboration and share modeling practices among state agencies in response to HR1’s new SNAP PER cost share requirements. Gathering encompassed convened a group of nearly 40 research and data analytics staff from across 15 states involved in SNAP QC data modeling.
Implementing Benefits Eligibility + Enrollment Systems: State Responses to H.R. 1
Features interviews from seven states on adaptation journeys in response to SNAP and Medicaid on integrated eligibility and enrollment. Insights include states awaiting federal guidance, standing up work groups, putting technology road map placeholders, prioritizing SNAP PER, making changes to end-of-life systems, rethinking data sharing, and considering population impacts.