Drawing on interviews and convenings with experts and practitioners from the field of public interest technology, this report contains recommendations across five core priority action areas for cross-sector innovation and collaboration to improve state benefits systems through procurement practices.
The Digital Service Network is publishing two essays to kick-start new (or super-charge existing) theories of change for government Digital Service teams.
This award documentation from the National Association of State Chief Information Officers (NASCIO) explains how agencies in Ohio used automation to support administration of public benefits programs.
National Association of State Chief Information Officers (NASCIO)
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 guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
Approximately 12 million low-income individuals risk missing out on federal stimulus payments due to non-filing status, prompting the Center on Budget and Policy Priorities (CBPP) to recommend targeted state outreach to connect eligible non-filers with their Economic Impact Payments (EIPs).
Expanding access to free tax assistance through virtual Volunteer Income Tax Assistance (VITA) programs can help low-income filers claim essential tax benefits without incurring preparation fees.
The vast fraud committed through the use of stolen and synthetic identities in UI programs has spotlighted the need for updated identity fraud detection mechanisms. As states are implementing new technologies and systems, they need to consider the ways in which they are impacting racial inequities in UI benefits.
This resource provides strategies, practical examples, and templates for attracting, developing, and retaining a high-performing digital service workforce.
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
