This GitHub repository includes resources that users of the UI wage data toolkit may find helpful. It covers a variety of topics, including equity, data security, programming, and data QC tips. It also serves as a place for our team to continue to post information that the TANF Data Collaborative (TDC) pilot sites found useful during our partnerships with them.
This report explores the financial challenges faced by U.S. workers, analyzing the roles of work arrangements and public and workplace benefits in achieving financial security, while highlighting the disparities in access and effectiveness for low- and moderate-income workers.
Implementing flexible interview scheduling in Los Angeles County's CalFresh program significantly increased benefit approval rates and reduced processing times, particularly aiding working families, students, and individuals experiencing homelessness.
The Improving Service Delivery in EITC for New Yorkers initiative explores ways to enhance access to the Earned Income Tax Credit (EITC) through improved outreach, application processes, and service delivery.
The $600 cash payments provided by the CARES act prevented joblessness from turning into actual income loss for millions of families. It also gave Americans breathing room to wait for better jobs, rather than settling for bad ones out of desperation.
MITRE’s Joe Ditre and Frank Ruscil demoed the code for the Comprehensive Careers and Supports for Households (C-CASH) at Rules as Code Demo Day. The MITRE team expanded the accessibility of the Policy Rules Database and the Cost-of-Living Database (the prior demo) by creating a web service API and a front-end Window’s application called C-CASH Analytic Tool (CAT). CAT provides a more scalable, flexible, and portable functionality which allows end-users to generate various households to run eligibility scenarios across different U.S. counties and states. They are currently working to create a national data hub and analytics tool, starting with utilizing U.S. Census data and populating the data warehouse by pushing large amounts of data through the PRD.
Code for America offers government agencies a general overview of getting started with implementing text messaging services for clear, responsive communication during the COVID-19 pandemic.
This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
A study shows that Benefits Data Trust’s outreach and application assistance significantly increased SNAP enrollment among North Carolina seniors, improving health outcomes and reducing Medicaid costs.
Defining a product in government digital services is crucial, as it serves as the means through which a service is delivered to the public, and understanding its attributes ensures effective and continuous improvement.
