A blog post outlining key strategies states can use to lower SNAP payment error rates, a priority given new fiscal penalties tied to error rates under recent federal law.
An overview video describing the Digital Identity Risk Management process outlined in NIST's Digital Identity Guidelines, which organizations can use to develop a risk-based approach to identity management.
This folder contains Medicaid work requirement implementation toolkit, including policy guidance, application templates, question libraries, and a digital prototype designed to help states integrate work requirement questions into Medicaid applications.
A technical guide that outlines policy and system design strategies states can use to reduce procedural terminations when implementing Medicaid work reporting requirements.
An overview of current technology systems used by WIC agencies nationwide, highlighting trends, challenges, and opportunities for modernization to improve program efficiency and participant experience.
A report that reviews what has been learned from guaranteed income pilot projects in Massachusetts and situates those findings within the broader national evidence base.
Key functionalities and design elements recommended for creating effective online WIC applications, focusing on usability, accessibility, and compliance to improve participant experience and streamline agency operations.
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to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
This report calculates the cumulative impact of major benefit programs on two types of families and how their benefits change as they move into the labor market and climb the ladder of upward mobility.
CMS has identified a number of immediate and longer-term strategies that states can implement to improve application processing timeframes and address application backlogs.
Through the interviews, ULP sought to capture details of claimant experience, see how and why system failures occurred, and make recommendations for reform now—before another financial or public health crisis suddenly causes state unemployment rates to spike.
Webinar that shares Nava’s partnership with the Gates Foundation and the Benefits Data Trust that seeks to answer if generative and predictive AI can be used ethically to help reduce administrative burdens for benefits navigators.
