Location: United States
-
“I Used to Get WIC . . . But Then I Stopped”: How WIC Participants Perceive the Value and Burdens of Maintaining Benefits
This study examines how individuals assess administrative burdens and how these views change over time within the context of the Special Supplemental Nutrition Assistance Program for Women, Infants, and Children (WIC).
-
Medicaid and CHIP Eligibility Renewals: A Communications Toolkit
This toolkit has important information to help inform people with Medicaid or CHIP about steps to take to renew their coverage or find other health care options.
-
Digitizing Policy + Rules as Code 
Helping People with Low Incomes Navigate Benefit Cliffs: Lessons Learned Deploying a Marginal Tax Rate Calculator
This report details findings and lessons from a project to develop a calculator to help people anticipate how a change in earnings from employment would affect their net income and information on their estimated effective marginal tax rate.
-
Digitizing Policy + Rules as Code 
Benefit Cliffs Calculator
The Benefit Cliffs Calculator helps case managers and public benefit recipients to prepare for benefit cliffs (i.e., declines in benefits due to an increase in earnings). It compares the net resources and benefits available to families under different employment scenarios.
-
Improving mobile usability for claimants
Mobile usability refers to the ease with which people can accomplish tasks on smartphones or tablets. A good mobile experience enables people to do the same things they do on a desktop computer while considering mobile devices’ constraints.
-
Digital Identity 
Prototyping a document management system for future emergencies
Research from the Department of Labor shows that document management systems reduce barriers for claimants and help states be more efficient. With additional improvements and investment, these systems can be even more effective in serving the public and reducing backlogs in times of crisis.
-
Automation + AI
The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government
An emerging concern in algorithmic fairness is the tension with privacy interests. Data minimization can restrict access to protected attributes, such as race and ethnicity, for bias assessment and mitigation. This paper examines how this “privacy-bias tradeoff” has become an important battleground for fairness assessments in the U.S. government and provides rich lessons for resolving these tradeoffs.
-
Automation + AI 
Algorithmic Accountability: Moving Beyond Audits
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
-
Medicaid Strategies Making a Difference: A Spotlight on Rhode Island
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.
-
Communications 
Bias-Free Language
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.
-
Automation + AI 
Framing the Risk Management Framework: Actionable Instructions by NIST in their “Govern” Section
This post introduces EPIC's exploration of actionable recommendations and points of agreement from leading A.I. frameworks, beginning with the National Institute of Standards and Technology's AI Risk Management Framework.
-
Automation + AI 
Digital Welfare States and Human Rights
In this report, the UN Special Rapporteur critically examines uses of digital technologies for administration of welfare programs across international contexts, and makes recommendations for using technology responsibly and ethically.