This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
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.
As a part of Benefit Data Trust (BDT)’s Medicaid Churn Learning Collaborative, BDT has created a memo describing policy options and state examples for Medicaid administrators to reduce churn for non-MAGI Medicaid enrollees when the federal public health emergency ends.
The Benefits Enrollment Field Guide looks at the landscape of America’s safety net benefits experience in 2023 and tracks the differences from our 2019 assessment based on expanded evaluation criteria. It also highlights successful paths to equitable, human-centered experiences. It examines online enrollment for Modified Adjusted Gross Income (MAGI) Medicaid, SNAP, TANF, the Child Care Assistance Program (CCAP), and WIC.
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
This research summary presents findings from a randomized controlled trial demonstrating how mRelief’s simplified SNAP application significantly increases application rates among eligible individuals.
The Playbook’s purpose is to guide researchers while supporting and lending authority to community organizations as they advocate for partnerships that will benefit their constituencies. The Playbook aims to provide some answers to such questions as: How can technologists and scientists engage communities in a spirit of partnership, without such extractive practices? How can community organizations work with researchers in ways that benefit their communities and expand their capacity, rather than burdening their staff?
This webinar addressed the near completion of the Medicaid continuous coverage unwinding, highlighting a net decrease of almost 10.6 million enrollees, including over 4 million children, and discussed next steps for state compliance, best practices, and outreach strategies to reconnect eligible individuals who lost coverage.
California’s SNAP program faced record application volume due to the COVID-19 crisis, and other states must anticipate similar demand. This post summarizes key takeaways from GetCalFresh’s real-time data and client communications, and offers recommendations for how other states can implement effective responses.
This article discusses how Code for America enhanced the CalFresh application process to better assist self-employed individuals in accessing their full benefits by clarifying self-employment definitions and simplifying income verification.
This is the summary version of a report that documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
