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)
This guide explores intersectionality and why it is essential for advancing equity. It explores strategies for planning and conducting research with an intersectional lens, describes quantitative measures and methods to examine differences across groups of people with intersecting identities, and provides key considerations for using qualitative data to better understand intersectionality.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
Originally created for use by federal staff at the U.S. Department of Health and Human Services, this tool describes the six steps for conducting equity assessments and provides tips for completing each step.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
This field guide is for digital services and technology leaders working at the federal, state, or local government level. It describes a way of applying research approaches to strategic decision making across digital services.
This toolkit provides practical guidance for agencies, researchers, and community partners to embed racial equity throughout every stage of data integration and use.
This resource is a communications toolkit designed to help states and stakeholders inform Medicaid and CHIP recipients about the eligibility renewal process, ensuring they take necessary steps to maintain or transition to alternative health coverage.
This webpage from the U.S. Department of Labor (DOL) provides guidance on improving mobile usability for Unemployment Insurance (UI) systems to enhance customer experience and accessibility.
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
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)
This benefits protection toolkit is a step-by-step guide to develop and integrate a benefits protection strategy into your Direct Cash Transfer (DCT) program design. This toolkit includes a set of customizable templates, letters, and other tools which should be downloaded and modified for your pilot and local context.
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
National Institute of Standards and Technology (NIST)
