Intended Audience: Academic
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Technology, Data, and Design-Enabled Approaches for a More Responsive, Effective Social Safety Net
This landscape analysis examines data, design, technology, and innovation-enabled approaches that make it easier for eligible people to enroll in, and receive, federally-funded social safety net benefits, with a focus on the earliest adaptations during the COVID-19 pandemic.
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2024 Edition: Account Creation and Identity Proofing in Online Child Care Assistance Program (CCAP) Applications
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include CCAP.
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Looking before we leap: Exploring AI and data science ethics review process
This report explores the role that academic and corporate Research Ethics Committees play in evaluating AI and data science research for ethical issues, and also investigates the kinds of common challenges these bodies face.
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Near Real Time COVID-19 Income and Poverty Dashboard
A real-time dashboard displaying COVID-19 income and poverty levels.
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Digital Identity Community of Practice Kick-Off
This video documents the Digital Benefits Network's Digital Identity Community of Practice launch, covering mission review, 2025 goals, California authentication innovations, and peer networking for equitable and effective digital identity in public benefits.
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Challenges of participation in large-scale public projects
This paper analyzes the unique challenges of conducting participatory design in large-scale public projects, focusing on stakeholder management, fostering engagement, and integrating participatory methods into institutional transformation.
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Cash Rules Everything Around Me: A Summary of Existing Research On Guaranteed Income
A literature review summarizing existing research on guaranteed income programs.
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What is a (Digital) Identity Wallet? A Systematic Literature Review
The report examines how current remote identity proofing methods can create barriers to Medicaid enrollment and suggests improvements to ensure equitable access for all applicants.
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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.
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Disability, Bias, and AI
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
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Less Discriminatory Algorithms
The article discusses the phenomenon of model multiplicity in machine learning, arguing that developers should be legally obligated to search for less discriminatory algorithms (LDAs) to reduce disparities in algorithmic decision-making.
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TANF Data Collaborative Pilot: Analyzing Application Denial Rates in Michigan
This brief describes the TANF Data Collaborative (TDC), an innovative approach to increasing data analytics capacity at state Temporary Assistance for Needy Families (TANF) agencies.