Topic: Digitizing Policy + Rules as Code
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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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Eligibility Rules Weekly Recaps
Github page with weekly recaps on the activities taking place during 18F’s Eligibility Rules Service project.
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Rules as Code Demo Day | Demo 7: MITRE Corporation (CCASH) | Joe Ditre and Frank Ruscil
MITRE’s Joe Ditre and Frank Ruscil demoed the code for the Comprehensive Careers and Supports for Households (C-CASH) at Rules as Code Demo Day. The MITRE team expanded the accessibility of the Policy Rules Database and the Cost-of-Living Database (the prior demo) by creating a web service API and a front-end Window’s application called C-CASH Analytic Tool (CAT). CAT provides a more scalable, flexible, and portable functionality which allows end-users to generate various households to run eligibility scenarios across different U.S. counties and states. They are currently working to create a national data hub and analytics tool, starting with utilizing U.S. Census data and populating the data warehouse by pushing large amounts of data through the PRD.
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Policy Engine Demo at the Cross-Sector Rules as Code Roundtable
In this video, Policy Engine provides a demonstration of their product and API and discusses use cases in Rules as Code.
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Project Snapshot: ACCESS NYC & Benefits Screening API
The NYC Mayor’s Office for Economic Opportunity (NYC Opportunity) developed the NYC Benefits Platform, including ACCESS NYC, to help residents easily discover and check eligibility for over 80 social programs.
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Implementing rules without a rules engine
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
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Rules as Code Demo Day | Demo 8: PolicyEngine | Max Gehnis and Nikhil Woodruff
We wrapped up Rules as Code Demo Day with Max Ghenis and Nikhil Woodruff, the founders of PolicyEngine. The PolicyEngine web app computes the impact of tax and benefit policy in the US and the UK. With PolicyEngine, anyone can freely calculate their taxes and benefits under current law and customizable policy reforms, and also estimate the society-wide impacts of those reforms. Policymakers and think tanks from across the political spectrum can analyze actual policy. PolicyEngine is built atop the open source OpenFisca US and UK microsimulation models and they are building an open unified data set utilizing data from the Policy Rules Database, Current Population Survey, Survey of Consumer Finances, Consumer Expenditures, tax records, and IRS Public Use File.
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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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MyFriendBen Demo at the Cross-Sector Rules as Code Roundtable
MyFriendBen.org leaders demo their new Colorado benefits eligibility tool in a February 2024 webinar.
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Rapid Implementation of Policy as Code
Policy changes are often dynamic and occur quickly, but they can only create impact once implemented. The Eligibility APIs Initiative at 18F shares an example from their work that shows the potential for rapid, accurate policy implementation as code.
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Envisioning a Federal Rules as Code Approach to Public Benefits Eligibility
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
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AI-Driven Statutory Reasoning via Software Engineering Methods
This article explores how legal documents can be treated like software programs, using methods like software testing and mutation analysis to enhance AI-driven statutory analysis, aiding legal decision-making and error detection.