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

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.

Timeline of key OBBBA Medicaid policy changes, highlighting those with greatest operational impact and upcoming deadlines for state and territory agencies.

States can act to reduce their SNAP PERs but must move quickly for their efforts to impact their share of program costs in 2027.