Library
Discover the latest innovations, learn about promising practices, and find out what’s coming next with best-in-class resources from trusted sources.
Is there something missing from our library?

Search and filters
Search for the topic or resource you're looking for, or use the filters to narrow down results below.
Results
-
Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
This paper explores design considerations and ethical tensions related to auditing of commercial facial processing technology.
-
Loss of Medicaid Coverage During the Renewal Process
This study examines national trends in the use of and spending on oral anticoagulants among U.S. Medicare beneficiaries from 2011 to 2019.
-
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.
-
Matching and Verifying Client Data Using Linkages Across Benefit
This resource provides examples and practical guides that explain how to use existing regulations and data sharing agreements to transfer client information or eligibility status between benefit programs.
-
A Public Transformed? Welfare Reform as Policy Feedback
This article analyzes the strategic use of public policy as a tool for reshaping public opinion. Though progressive revisionists in the 1990s argued that reforming welfare could produce a public more willing to invest in anti-poverty efforts, welfare reform in the 1990s did little to shift public opinion. This study investigates the general conditions under which mass feedback effects should be viewed as more or less likely.
-
The Consequences of Decentralization: Inequality in Safety Net Provision in the Post–Welfare Reform Era
This article examines how the decentralization of safety net programs after welfare reform has led to growing inequality in benefit generosity and access across U.S. states.
-
Program Recertification Costs: Evidence from SNAP
This article analyzes the impact of interview assignment timing on the success of recertification and continued participation in SNAP.
-
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.
-
Envisioning a Human-AI collaborative system to transform policies into decision models
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
-
Cash Rules Everything Around Me: A Summary of Existing Research On Guaranteed Income
A literature review summarizing existing research on guaranteed income programs.
-
Digital Identities and Verifiable Credentials
This article discusses the challenges of today’s centralized identity management and investigates current developments regarding verifiable credentials and digital wallets.
-
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.