A summary of the initial CMS guidance (CMCS informational bulletin) on how states should implement Medicaid work reporting requirements under H.R. 1, clarifying high-level expectations and key technical points.
A case study explaining how a predictive, data-driven machine-learning model was developed to detect unauthorized cash benefit withdrawals more quickly and accurately in California.
This fact sheet outlines the key principles for designing an effective Child Tax Credit that reduces child poverty, supports working families, promotes racial and economic equity, and delivers long-term benefits for children and the economy.
This report highlights the agency's role in transforming federal digital services through human-centered design, agile technology, and cross-agency collaboration.
The article examines the participation of adults aged 50 and older in the Supplemental Nutrition Assistance Program (SNAP) in 2022, highlighting the program's role in reducing food insecurity and poverty among older adults, especially those with disabilities.
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
This toolkit provides guidance and resources for state agencies to effectively implement the USDA’s Summer Electronic Benefit Transfer (EBT) program, which helps low-income families buy food during the summer months when school meals are unavailable.
In the article, researchers examines how administrative burdens in waitlist management for subsidized childcare in Massachusetts have led to significant reductions in the number of families awaiting assistance, potentially obscuring the true extent of unmet need.
