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OpenFisca: Write rules as code
OpenFisca provides a syntax for writing Rules as Code.
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Integrated Eligibility and Enrollment Modernization Roadmap Report
This roadmap provides a vision and plan for how to deliver modernized integrated eligibility and enrollment for health and human services using human-centered design, modular approaches to replacing legacy technology, change management, and iterative product processes.
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Digital Distortions and Interpretive Choices: A Cartographic Perspective on Encoding Regulation
This article analyses ‘digital distortions’ in Rules as Code, which refer to disconnects between regulation and code that arise from interpretive choices in the encoding process.
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Rules as Code Demo Day | Demo 5: mRelief SNAP Eligibility Screener | Zareena Meyn and Dize Hacioglu
At Rules as Code Demo Day Executive Director Zareena Mayn and Chief Technology Officer Dize Hacioglu of mRelief demoed the code for their Supplemental Nutrition Assistance Program (SNAP) eligibility screener. mRelief is a women-led team that provides a web-based and text message-based SNAP eligibility screener to all 53 states and territories that participate in SNAP. They demonstrated how they have modularized their code to host federal program rules and state-specific rules.
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Benefits Data Trust Demo at the Cross-Sector Rules as Code Roundtable
In this video, Benefits Data Trust staff present their eligibility screening platform including their rules engine, API, and DMN rules notation.
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Benefits Cliffs Coaching with the Atlanta Fed’s CLIFF Tools: Implementation Evaluation of the National Pilot
The Atlanta Fed’s CLIFF tools provide greater transparency to workers about potential public assistance losses when their earnings increase. We find three broad themes in organization-level implementation of the CLIFF tools: identifying the tar- get population of users; integrating the tool into existing operations; and integrating the tool into coaching sessions.
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Project Snapshot: Policy Rules Database
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
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AI-Powered Rules as Code: Experiments with Public Benefits Policy: Summary + Key Takeaways
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.
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NYC Benefits Platform: Eligibility Screening API
The NYC Benefits Screening API provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire.
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Rules as Code Community of Practice
The DBN’s Rules as Code Community of Practice (RaC CoP) creates a shared learning and exchange space for people working on public benefits eligibility and enrollment systems — and specifically people tackling the issue of how policy becomes software code. The RaC CoP brings together cross-sector experts who share approaches, examples, and challenges. Participants are from state, local, tribal, territorial, and federal government agencies, nonprofit organizations, academia, and private sector companies. We host recurring roundtable conversations and an email group for asynchronous updates, insights, and assistance.
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Rules as code: Seven levels of digitisation
This report, written for practitioners, classifies “digital transformation” of legal rules into a hierarchy of levels to help establish common terms.
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Digital Legal Systems Lab
The Digital Legal Systems Lab explores how law and digital systems intersect, aiming to develop reliable, ethical, and efficient legal technologies.