This guide highlights approachable ideas for state and local public benefits agencies to improve applications, renewals, and correspondence. As outlined in this resource, even small improvements can be transformative for residents and caseworkers alike.
This report describes C-Stat 2.0, an updated version of the the Colorado Department of Human Services’ performance-based analysis strategy that allows them to better focus on and improve performance outcomes that enhance people’s lives.
In this presentation, team members from the North Carolina Department of Health and Human Services provide an overview of the implementation process for cross enrollment with SNAP, WIC, and Medicaid in North Carolina.
North Carolina Department of Health and Human Services
The goal of the brief is to encourage policy makers and employers to consider benefits cliffs as they look to create mandatory wage increases, with a look at a legislative action in NYC.
Code for America explores the systems at play and the individuals experience of participants in WIC. By investigating overall quantitative trends in coverage, redemption, and retention rates, they use the data as a guide to build out a qualitative research plan that explains why such trends are occurring.
On May 19, 2023, the Digital Benefits Network published a new, open dataset documenting authentication and identity proofing requirements across online SNAP, WIC, TANF, Medicaid, child care (CCAP) applications, and unemployment insurance applications.
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs.
American Public Human Services Association (APHSA)
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
