Service Delivery Area: Benefits
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Data 
Michigan Unemployment Insurance Agency’s (UIA) Economic Dashboard
This dashboard provides a comprehensive view of underlying trends in unemployment across Michigan. It serves as an invaluable resource for understanding the impacts of unemployment on various industries, occupations, and communities. By providing detailed insights into sectors experiencing layoffs, claimant demographics, and the regions most affected, the dashboard equips us with the data needed to develop targeted solutions tailored to the needs of Michiganders.
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IRS Direct File Pilot Program Filing Season 2024 After Action Report
The conclusion of the 2024 tax filing season marks the closure of the Direct File pilot, a yearlong effort to study the interest in — and feasibility of — creating a direct e-filing system as a new option for taxpayers to file federal income tax returns.
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Human-Centered Design 
‘They’re Stealing Food From My Kids’: SNAP recipients and the struggle against EBT Theft
EBT theft has deeply damaged the lives of the lowest-income Americans. The following insights reveal a system that leaves people in the dark and fails to protect a crucial lifeline.
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Ensuring Timely and Accurate Medicaid and CHIP Eligibility Determinations at Application
CMS urges states to review and improve their Medicaid and CHIP application processing timeframes to ensure compliance, timely coverage, and care, providing immediate and longer-term strategies for addressing application backlogs.
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Policy 
Measuring psychological burdens in access to U.S. social programs
This report contributes to the quantitative measurement of psychological burdens by examining a case study of a single social program: the Supplemental Nutrition Assistance Program, by considering new quantitative measures of the psychological burdens faced by SNAP applicants.
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Procurement 
Keys to a Healthier Digital Future: Interoperability, Open Protocols, and Tech Governance
This research brief summarizes the ideas and recommendations from sessions with dozens of cross-sector stakeholders within the technology ecosystem to identify conditions for better, healthier, more secure digital ecosystems that could help guide the next generation of open protocols and platforms.
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Digitizing Policy + Rules as Code 
Community Insights at the Cross-Sector Rules as Code Roundtable
In this video, Digital Benefits Network Senior Director Ariel Kennan presents highlights from the Cross-Sector Insights From the Rules as Code Community of Practice report released in February 2024. 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 
Benefits Data Trust Demo at the Cross-Sector Rules as Code Roundtable
In this video, Benefits Data Trust Senior Product Manager Daniel Singer and Software Engineering Manager Preston Cabe present their eligibility screening platform including their rules engine, API, and DMN rules notation. 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 
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 
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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Digitizing Policy + Rules as Code 
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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Automation + AI 
Framework for State, Local, Tribal, and Territorial Use of Artificial Intelligence for Public Benefit Administration
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.