Author: Max Ghenis
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Digitizing Policy + Rules as Code PolicyEngine at Policy2Code Demo Day at BenCon 2024
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.
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Digitizing Policy + Rules as Code Policy Engine Demo at the Cross-Sector Rules as Code Roundtable
In this video, Policy Engine CEO Max Ghenis provides a demonstration of their product and API and discusses use cases in Rules as Code. The Cross-Sector Rules as Code Roundtable on February 22, 2024 was hosted by Rules as Code Community of Practice at the Digital Benefits Network.
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Digitizing Policy + Rules as Code PolicyEngine US GitHub repository
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.