Government agencies at all levels collect administrative data in the course of their day-to-day operations. While such information has been used to determine effectiveness through program evaluations for many years, program administrators view it increasingly as a valuable resource that can also be used to improve program performance. For example, administrative data from employment and public benefits programs such as Temporary Assistance for Needy Families (TANF) can offer insights into families’ unmet needs and ways to improve services.
Article announcing five new projects by the Office of Management and Budget that will improve experiences the public has with the government during significant movements in their lives. These “life experience” projects are at the center of a new model for how the Federal Government should better design and deliver benefits, services, and programs to the American people during the moments in their lives that matter most.
Building on our February 2022 report Benefit Eligibility Rules as Code: Reducing the Gap Between Policy and Service Delivery for the Safety Net, the Beeck Center’s Digital Benefits Network (DBN) recently held a convening to share progress and potential in digitizing benefits eligibility and to begin addressing how a national approach could be started.
This white paper documents Hawai'i's journey and lessons learned from their 18-month Coordinating SNAP and Nutrition Supports project which laid the foundation for interagency data-sharing and built capacity to analyze administrative data across nutrition programs--specifically SNAP and WIC.
We wrapped up Rules as Code Demo Day with Max Ghenis and Nikhil Woodruff, the founders of PolicyEngine. The PolicyEngine web app computes the impact of tax and benefit policy in the US and the UK. With PolicyEngine, anyone can freely calculate their taxes and benefits under current law and customizable policy reforms, and also estimate the society-wide impacts of those reforms. Policymakers and think tanks from across the political spectrum can analyze actual policy. PolicyEngine is built atop the open source OpenFisca US and UK microsimulation models and they are building an open unified data set utilizing data from the Policy Rules Database, Current Population Survey, Survey of Consumer Finances, Consumer Expenditures, tax records, and IRS Public Use File.
Automated decision systems (ADS) are increasingly used in government decision-making but lack clear definitions, oversight, and accountability mechanisms.
The Increasing Stimulus Payment Take-up in California report by the California Policy Lab examines barriers to accessing federal stimulus payments and provides strategies to increase take-up among eligible Californians, particularly low-income and non-filers.
This report outlines the current status and modernization plans for CFPB websites and digital services, as required by the 21st Century Integrated Digital Experience Act (IDEA).
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.
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.