This resource allows policymakers, employers, benefits providers, and researchers assess benefits performance for constituents and identify opportunities in market and policy innovation to ensure equitable benefits distribution.
This UN report warns against the risks of digital welfare systems, emphasizing their potential to undermine human rights through increased surveillance, automation, and privatization of public services.
This expansive toolkit provides guidance, real world examples, and resources to help TANF and child support programs engage the families they serve in improving service delivery, policy, and program operations.
This field guide is written for digital services and technology leaders working in government agencies at the federal, state, or local level. It’s meant to highlight the power of product thinking to government digital services. With this guide, agencies can start moving from a project management mindset to a product-based approach to delivering services.
There is a key disconnect between policymakers’ intent and implementation of policies. A user-centric, iterative, and data-driven approach can result result in digital technology that provides much needed data and insights at a substantially lower cost.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
Implementing flexible interview scheduling in Los Angeles County's CalFresh program significantly increased benefit approval rates and reduced processing times, particularly aiding working families, students, and individuals experiencing homelessness.
The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. The principles were adopted in 2019; this webpage provides an overview of the principles and key terms.
Organisation for Economic Co-operation and Development (OECD)
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
The Better Government Lab at the McCourt School of Public Policy at Georgetown University has developed a new scale for measuring the experience of burden when accessing public benefits. They offer both a three-item scale and a single-item scale, which can be utilized for any public benefit program. The shorter scales provide a less burdensome way to measure by requiring less information from users.
Policy changes are often dynamic and occur quickly, but they can only create impact once implemented. The Eligibility APIs Initiative at 18F shares an example from their work that shows the potential for rapid, accurate policy implementation as code.
