Through our research understanding the government digital service field and what workers in this field need, we want to help strengthen those existing roles and establish more pathways for promotion and career support, as well as help other teams recognize the value of these skills and create new roles.
In this panel conversation from the Better Identity Coalition’s 2022 policy forum, “Identity, Authentication, and the Road Ahead," representatives from industry and government discuss priorities for authentication and identity management.
There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
The article presents the True Cost of Economic Security (TCES) measure, showing that over half of U.S. families struggle to meet the comprehensive costs required to thrive, highlighting significant disparities based on family type, location, and race.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
The 2022 Dobbs v. Jackson decision overturned Roe v. Wade, leading 21 states to ban or heavily restrict abortion, exacerbating economic and health challenges for women denied care while these states also often lack supportive policies like paid leave, fair wages, and accessible public benefits for growing families.
This study explores the causal impacts of income on a rich array of employment outcomes, leveraging an experiment in which 1,000 low-income individuals were randomized into receiving $1,000 per month unconditionally for three years, with a control group of 2,000 participants receiving $50/month.
Presentation covering the findings of a research study analyzing the structural and budgetary layout of of eleven US-based Digital Service Teams (DSTs) at the municipal, county, and state levels.
