This policy brief offers recommendations to policymakers relating to the computational and human sides of facial recognition technologies based on a May 2020 workshop with leading computer scientists, legal scholars, and representatives from industry, government, and civil society
This resource provides examples and practical guides that explain how to use existing regulations and data sharing agreements to transfer client information or eligibility status between benefit programs.
The Medicaid Renewals Playbook offers strategies for technologists assisting states in streamlining Medicaid renewal processes during the COVID-19 Public Health Emergency unwinding.
Initially created to inform federal staff at the U.S. Department of Health and Human Services, this tip sheet provides key considerations for how organizations can identify potential diverse external partners, conduct outreach to them, and build and sustain productive relationships with them.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
The report examines pilot projects in multiple states that utilized data matching and targeted outreach to enroll eligible families with young children in the WIC program, demonstrating the effectiveness of this approach in increasing participation rates.
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
This report explains how states can continue to voluntarily implement key Medicaid and CHIP eligibility and enrollment improvements—originally required by two federal rules—despite a ten-year moratorium enacted in July 2025 that blocks their mandatory enforcement
A report that reviews what has been learned from guaranteed income pilot projects in Massachusetts and situates those findings within the broader national evidence base.
This research article explores how framing income eligibility guidelines in either dollar amounts or as a percentage of the Federal Poverty Line (FPL) affects public attitudes toward program access and administrative burdens in Medicaid and SNAP.
This technical brief uses predictive analytics to identify the primary drivers of SNAP payment error rates (PER) following the implementation of the One Big Beautiful Bill (OBBB).
On July 16, members of the Digital Identity Community of practice gathered to learn how peers are gathering beneficiary feedback on their experiences with accounts and proving their identity.
