Topic: Demos
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Policy2Code Demo Day Recap
A recap of the twelve teams who presented during the Policy2Code Prototyping Challenge at BenCon 2024.
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Tech2i Tralblazers at Policy2Code Demo Day at BenCon 2024
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
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Rules as Code Demo Day | Demo 1: 18F Eligibility APIs Initiative | Alex Soble and Mike Gintz
We kicked off Rules as Code Demo Day with Alex Soble of 18F and Mike Gintz of 10x presenting their Eligibility APIs Initiative that explores whether APIs and rules as code might improve the efficiency and effectiveness with which federal public benefits programs communicate their policy to states. They demonstrated their original prototype, and how the open source code has now been extended into several initiatives.
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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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Rules as Code Demo Day | Demo 2: NYC Benefits Platform Screening API | Song Hia and Ethan Lo
At Rules as Code Demo Day we heard from Song Hia of the NYC Mayor’s Office for Economic Opportunity and Ethan Lo of the NYC Office of Technology and Innovation who demoed the NYC Benefits Platform Screening API which provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire. This makes it easier for NYC residents to discover multiple benefits they may be eligible for. The City is now extending the API to support the new MyCity platform, a one-stop shop for all services and benefits.
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Policy2Code Demo Day at BenCon 2024: Video and Recap
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.
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Code The Dream at Policy2Code Demo Day at BenCon 2024
The team introduced an AI assistant for benefits navigators to streamline the process and improve outcomes by quickly assessing client eligibility for benefits programs.
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POMs and Circumstance at Policy2Code Demo Day at BenCon 2024
The team explored using LLMs to interpret the Program Operations Manual System (POMS) into plain language logic models and flowcharts as educational resources for SSI and SSDI eligibility, benchmarking LLMs in RAG methods for reliability in answering queries and providing useful instructions to users.
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Rules as Code Demo Day | Demo 6: Policy Rules Database | Seth Hartig
At Rules as Code Demo Day Seth Hartig from the National Center for Children in Poverty (NCCP) and Bank Street College demoed the Policy Rules Database (PRD), a collaborative effort between the Federal Reserve Bank of Atlanta and the NCCP. The primary purpose of the PRD is to simplify the interpretation of all programs by creating a common structure and a common terminology. The repository allows for research on public assistance programs and tax policies, and helps users model benefits cliffs on career pathways. The PRD is supported by a technical manual with pseudocode that helps guide integration and usage in other platforms.
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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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The RAGTag SNAPpers at Policy2Code Demo Day at BenCon 2024
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
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BenCon 2024 Recap
A recap of the two-day conference focused on charting the course to excellence in digital benefits delivery hosted at Georgetown University and online.