This toolkit provides links to a multitude of resources to help health and human services leaders evaluate and intentionally design programs to meet the unique needs of young families.
American Public Human Services Association (APHSA)
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)
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.
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
In response to the COVID-19 crisis, the federal government authorized a new emergency program, Pandemic EBT (P-EBT), to replace school meals with money for groceries while schools are closed. Code for America describes its efforts to launch an accessible, online P-EBT application under an accelerated timeline due to to immense demand caused by the pandemic.
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).
This report explores the Maine Department of Labor’s (MDOL) remarkable response to this layoff through collaboration with the Peer Workforce Navigator project—a coalition of community-based organizations in partnership with the MDOL—which made a huge difference in the lives of these laid off workers. The report also examines aspects of the state’s unemployment insurance (UI) system that might be improved to account for similar situations in the future.
This report offers a detailed assessment of how AI and emerging technologies could impact the Social Security Administration’s disability benefits determinations, recommending guardrails and principles to protect applicant rights, mitigate bias, and promote fairness.
This blog post describes the launch of NJ.gov/disabilities, an accessible, co-created online hub that centralizes information and services for individuals with disabilities.
This internal glossary defines key terms and concepts related to automating enrollment proofs for public benefits programs to support shared understanding among product and policy teams.
These fact sheets provide detailed, state-specific data illustrating SNAP's role in reducing hunger and bolstering local economies across the United States
