Resources and Toolkits

Video outlining best practices for states to improve their risk assessment and error detection processes, including model design, review sequencing, feature engineering, review process optimization, and quick wins

Analysis and dataset providing an overview of how states are using budgets and legislation to respond to H.R. 1.

Workshop examining how predictive analytics and risk scoring can improve SNAP implementation and evaluation, using Conneticut as a case study.

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.

A CMS-developed suite of open-source tools that streamlines income and community engagement reporting for Medicaid applicants and enrollees

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.

Explainer on state IEE system fundamentals, outlining key technologies, opportunities, risks, and stakeholders involved for implementation guidance to improve benefit accessibility and efficiency.

A central resource library for state, local, tribal, and territorial governments working to implement public benefits policy and system changes created through OBBBA, featuring Medicaid work requirements and SNAP PER topic sections.