The FileYourStateTaxes pilot successfully integrated state tax filing with the IRS Direct File program, improving taxpayer experience and ease of filing.
This toolkit provides resources for training and technical assistance (T/TA) providers in the Child Care Technical Assistance Network (CCTAN) to help State, Territory, and Tribal CCDF Lead Agencies be prepared to conduct equity assessments.
Report by the Aspen Institute discussing Benefits21, a multi-stakeholder, multi-faceted initiative to integrate and modernize benefits systems. This paper provides an overview of Benefits21, along with a discussion of the shortcomings of current public and private benefit systems.
The report discusses how state Medicaid agencies can utilize Supplemental Nutrition Assistance Program (SNAP) data to streamline the Medicaid renewal process, thereby maintaining coverage for eligible beneficiaries.
This brief shares findings from a November 2021 survey of state SNAP agencies about their use of the SNAP ARPA funds in fiscal year 2021, and their initial planned activities for fiscal year 2022 and 2023.
American Public Human Services Association (APHSA)
The Better Government Lab at the McCourt School of Public Policy at Georgetown University has developed a new scale for measuring the experience of burden when accessing public benefits. They offer both a three-item scale and a single-item scale, which can be utilized for any public benefit program. The shorter scales provide a less burdensome way to measure by requiring less information from users.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
Implementing an API standard for WIC Management Information Systems (MIS) would enable seamless integration of digital tools, enhancing service delivery and accessibility for participants and staff.
This essay explains why the Center on Privacy & Technology has chosen to stop using terms like "artificial intelligence," "AI," and "machine learning," arguing that such language obscures human accountability and overstates the capabilities of these technologies.
