Produced By: Academic
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Digitizing Policy + Rules as Code 
Shared Values/Conflicting Logics: Working Around E-Government Systems
This paper describes results from fieldwork conducted at a social services site where the workers evaluate citizens' applications for food and medical assistance submitted via an e-government system. These results suggest value tensions that result - not from different stakeholders with different values - but from differences among how stakeholders enact the same shared value in practice.
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Digitizing Policy + Rules as Code 
Rules as Code Frameworks and Tools
There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
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Change Management 
Procurement Transformation in Syracuse: A Digital Service Network Spotlight
The Digital Service Network (DSN) spoke with API Director Nicolas Diaz Amigo, GPL Fellow Mia Capone, and OMB Director Timothy Rudd to learn more about the City of Syracuse's multi-year procurement transformation initiative.
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Procurement 
Syracuse University Procurement Equity Study
Report from the Syracuse University’s Center for Policy Design and Governance assessing the City of Syracuse's equity in procurement.
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Digitizing Policy + Rules as Code 
Cross-Sector Insights From the Rules as Code Community of Practice
In this report, the Digital Benefits Network shares learnings from the Rules as Code Community of Practice. Insights are grouped along core themes expressed by cross-sector practitioners, including complexity in policies, interest in sharing knowledge, tools, and code, the need for more training and technical assistance, and willingness to collaborate on an open standard for writing rules and developing a shared code library.
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Digital Identity 
Facial Recognition Technology: Current Capabilities, Future Prospects, and Governance
This book explores the current capabilities, future possibilities, and necessary governance for facial recognition technology. The report discusses legal, societal, and ethical implications of the technology, and recommends ways that federal agencies and others developing and deploying the technology can mitigate potential harms and enact more comprehensive safeguards.
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Digitizing Policy + Rules as Code 
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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Automation + AI 
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing
This paper introduces a framework for algorithmic auditing that supports artificial intelligence system development end-to-end, to be applied throughout the internal organization development lifecycle.
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Automation + AI 
What Are Generative AI, Large Language Models, and Foundation Models?
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
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Digital Identity 
What is a (Digital) Identity Wallet? A Systematic Literature Review
There is a growing interest in the concept of digital wallets, but no generally accepted definition of the concept or its features. This systematic review examines prior studies to offer a definition of digital identity wallets.
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Digital Identity 
Digital Identity: Emerging Trends, Debates and Controversies
This academic review covers the broad range of arguments, trends, and patterns from the emerging field of digital identity scholarship.
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Automation + AI 
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.