Research from the Department of Labor shows that document management systems reduce barriers for claimants and help states be more efficient. With additional improvements and investment, these systems can be even more effective in serving the public and reducing backlogs in times of crisis.
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
Government solicitations to procure custom software are often long, complicated, and take months. By using 18F’s agile contract format, agencies can hire an agile software contractor with a quickly-written dozen-page solicitation, allowing for immense savings in time and money.
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
U.S. Department of Health and Human Services (HHS)
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.
The Unemployment Insurance Equitable Access Toolkit contains common equity recommendations, promising practices, and insights, represented visually as a different floor of an agency office building, compiled in one interactive document.
The Benefit Cliffs Calculator helps case managers and public benefit recipients to prepare for benefit cliffs (i.e., declines in benefits due to an increase in earnings). It compares the net resources and benefits available to families under different employment scenarios.
This interactive dashboard allows users to explore Supplemental Nutrition Assistance Program (SNAP) participation and household characteristics by U.S. congressional district using American Community Survey data.
