USDS partnered with CMCS and state Medicaid agencies to improve eligibility and enrollment systems after the COVID-19 Public Health Emergency ended, focusing on health coverage renewals.
This resource is a research paper examining the role of the public safety net in insuring job losers against income loss, analyzing which government programs provide financial support and how benefits vary based on pre-job loss income levels.
This brief describes TDI’s efforts to transform federal TANF and employment data into an integrated resource for program management and evidence building.
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tool describes how to conduct intensive equity assessments of existing programs, policies, and processes. It may be useful for state and local governments, tribal governments, and other private or non-profit organizations focused on programs and policies relating to health and human services.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
This case study highlights Michigan’s integrated, data-driven approach to reducing food insecurity through cross-agency collaboration, referral tracking, and targeted outreach.
American Public Human Services Association (APHSA)
Coordinating SNAP & Nutrition Supports (CSNS) is a cohort program developed by the American Public Human Services Association (APHSA) and No Kid Hungry, a national campaign run by Share Our Strength.
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)
Governments and leaders are required to regulate change while mitigating risk, so IFTF's Governance Futures Lab developed this decision-making guide for them. In a world where technologies are transforming faster than we can keep up, anticipatory governance is crucial in order to safeguard against both the intended and unintended effects of technological advances.
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 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.
