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Technology in the public sector and the future of government work
This report explores technologies that have the potential to significantly affect employment and job quality in the public sector, the factors that drive choices about which technologies are adopted and how they are implemented, how technology will change the experience of public sector work, and what kinds of interventions can protect against potential downsides of technology use in the public sector. The report categories technologies into five overlapping categories including manual task automation, process automation, automated decision-making systems, integrated data systems, and electronic monitoring.
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NIST AI Risk Management Framework (RMF 1.0)
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
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What is Better Rules?
Better Rules utilizes multidisciplinary teams that include people skilled in policy, legal, business rules, programming, and service design working together in an iterative fashion to develop rules. Several outputs are produced using this approach, each offering an opportunity that can be fed back into that iterative process and re-used to solve other issues.
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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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5 Things to Know About SNAP Employment & Training
This resource provides an overview of the Supplemental Nutrition Assistance Program Employment & Training (SNAP E&T) program, highlighting state implementation strategies, funding mechanisms, and policy opportunities to strengthen workforce participation among SNAP recipients.
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Leveraging Cross-Program Data to Modernize Outreach & Enrollment in SNAP and Connected Benefits
This resource outlines three data sharing models tested during the first cohort of the Coordinating SNAP & Nutrition Supports grant program.
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Poverty Results from Structural Barriers, Not Personal Choices. Safety Net Programs Should Reflect That Fact
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
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Decoded: Digital Identity in Public Benefits
In 2024, the Center on Budget and Policy Priorities and Digital Benefits Network led a workshop to explore key terms related to digital identity, and provide ecosystem-level context on how authentication and identity proofing may show up in the online benefits experience and impact clients. This resource links to the presentation slides.
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Benefits of Interoperability in the Health & Human Services System
This report explains how the A-87 Exception enabled states to modernize and integrate health and human services systems, improving service delivery, efficiency, and data sharing across programs.
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Understanding Law as Code
This course from the European Commission aims to provide participants with a comprehensive understanding of Law as Code and its relationship to digital-ready policymaking.
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ideas42 Methodology
This article introduces ideas42, a non-profit behavioral research and design firm applying insights from behavioral sciences, including behavioral economics (BE), social psychology, and other disciplines, for social good. Their behavioral design methodology is human-centered, but it incorporates scientific insights and iterative testing, applying observations about how people choose and act from experimental academic research to inform qualitative research.
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Improving Outcomes for Families Through Better Use of Data: The TANF Data Collaborative
This nine-minute video, produced after the completion of the TANF Data Collaborative (TDC) Pilot, features staff members from the California, Colorado, Minnesota, and Virginia TANF agencies reflecting on their challenges, accomplishments, and general experiences during the pilot. In particular, they describe their research questions and discuss building data capacity, integrating datasets, networking with other states, increasing collaboration between state and county agencies, learning new technical skills, and the benefits of being able to draw from diverse skillsets, all within the context of the TDC Pilot.