As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
At Rules as Code Demo Day we heard from Song Hia of the NYC Mayor’s Office for Economic Opportunity and Ethan Lo of the NYC Office of Technology and Innovation who demoed the NYC Benefits Platform Screening API which provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire. This makes it easier for NYC residents to discover multiple benefits they may be eligible for. The City is now extending the API to support the new MyCity platform, a one-stop shop for all services and benefits.
his document defines key terms, acronyms, and data elements used in Hawaii's SNAP and WIC data integration project to support cross-program collaboration and data standardization.
This strategy identifies ambitious and achievable actions the Biden-Harris Administration will pursue across five pillars: 1. Improving food access and affordability 2. Integrating nutrition and health 3. Empowering all consumers to make and have access to healthy choices 4. Supporting physical activity for all 5. Enhancing nutrition and food security research
This guidance provides detail on activities to be conducted by designated High-Impact Service Providers (HISPs) under the Executive Order on Customer Experience.
The Long Beach Tree Map shows trees throughout the Long Beach region which centralizes, organizes, and visualizes information regarding where and how many trees as well as their type.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
