The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
The NYC Benefits Screening API provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire.
Report by the Aspen Institute discussing Benefits21, a multi-stakeholder, multi-faceted initiative to integrate and modernize benefits systems. This paper provides an overview of Benefits21, along with a discussion of the shortcomings of current public and private benefit systems.
This update highlights progress in improving federal customer experience (CX) following Executive Order 14058, showcasing service enhancements across agencies.
The Advancing Economic Mobility for Low-Income Families report, published by the National Governors Association (NGA) Center for Best Practices, provides policy options for governors to strengthen economic security, workforce participation, and wealth-building opportunities for low-income families.
Professor Don Moynihan discusses how administrative burden is an effective tool to make it difficult for people to access certain types of benefits, noting that this is particularly harmful to communities of color.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
This resource provides guidance on streamlining enrollment across public benefit programs to improve efficiency, reduce administrative burdens, and enhance access for eligible individuals and families.
This Urban Institute report examines how public investments in children's health, education, and welfare yield significant short- and long-term benefits for both individuals and society.
This report explores how public benefit systems can better support young adults by addressing the barriers they face in accessing and maintaining vital services like SNAP, Medicaid, and WIC.
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
