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.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from South Bend Indiana and others working on creating accessible legal forms.
An event recap from one of FormFest 2024's breakout sessions featuring speakers from Digital Service Teams across the United States and the Department of Veteran Affairs.
A profile on FormFest speakers Sarah Rodriguez, Emily Lippolis, and Verenice Ramirez, featuring stories about their motivations for working on public sector form innovation.
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 report 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.
