It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
This Blueprint is a whole-of-government effort that aims to provide a resource to assist federal decisionmakers in leveraging social and behavioral science to improve policy and program design and delivery.
FNS evaluations of Summer EBT programs show significant reductions in childhood food insecurity, but some eligible households do not fully redeem benefits.
Disparities in Economic Impact Payment (EIP) receipt during the COVID-19 pandemic disproportionately affected low-income households, communities of color, and individuals without tax filing histories.
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
Professor Don Moynihan discusses how administrative burden is an effective tool to make it difficult for people to access certain types of benefits, noting that this is particularly harmful to communities of color.
This playbook provides federal agencies with guidance on implementing AI in a way that is ethical, transparent, and aligned with public trust principles.
U.S. Department of Health and Human Services (HHS)
Inclusive design means making design choices that take into account personal identifiers like ability, race, economic status, language, age, and gender. This resource walks folks through an introduction to inclusive design, focusing on accessibility and equity.
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this guide explores opportunities to advance equity in quantitative analysis, including by recognizing common biases (e.g., research and measurement bias).
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
The U.S. Department of Labor is working with states, territories, and the public to develop strategies to continuously improve the nation’s unemployment insurance (UI) systems.
The article discusses how state agencies can effectively use text messaging to communicate with Medicaid and SNAP enrollees, especially following a 2021 FCC ruling that permits automated texts for informational purposes.
