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.
NYC Opportunity collaborated with the Administration for Child Services (ACS) to design a family-centered process for prevention services, addressing confusion and lack of choice in the current system. By creating tools like the Provider Profile and Family Voice booklet, the team empowered families to choose providers based on their needs while ensuring their feedback reaches ACS. The project aims to improve family experiences and communication with ACS, with plans to expand through testing and future innovations like a web portal.
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.
The Digital Service Network (DSN) spoke with Daniel Soto, principal management analyst at the City of Santa Ana, to learn more about how digital service innovation can occur in government organizations without formally codified or centralized digital service teams.
This case study series highlights innovative state strategies to improve data coordination between SNAP and Medicaid agencies and increase access for eligible people.
This report examines Pennsylvania’s recent success in responding to concerns from citizens that it took too long for a business, nonprofit or individual to receive a permit, license or certificate they had applied for.
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
A case study documenting the creation, pilot, impact, and eventual sunset of a government text-messaging service used to improve how agencies communicate with the public.
MyFile NYC is a digital platform that allows New York City residents experiencing homelessness to securely store, share, and manage vital documents with the Department of Homeless Services, streamlining the process of establishing eligibility for public benefits. This pilot, launched in 2022, aims to improve service access by reducing barriers like communication and documentation challenges, while allowing users control over their information.
The California Integrated Travel Project (Cal-ITP) simplifies transit benefits eligibility by developing the Benefits App, which uses Login.gov to securely verify age-based discounts for public transit riders. The project aims to create a standardized, interoperable system for verifying transit benefits, improving accessibility for low-income and special groups while reducing administrative burdens for transit agencies.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
