Produced By: Non-profit
-
Enabling Principles for AI Governance
A report from the Center for Security and Emerging Technology (CSET) discussing enabling principles for artificial intelligence (AI) governance.
-
ITEM 10: How a Small Legal Aid Team Took on Algorithmic Black Boxing at Their State’s Employment Agency (And Won)
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.
-
Streamlining SNAP for the Gig Economy
This issue brief explores how states can leverage existing policy to better support self-employed workers.
-
Using Asset Verification Systems to Streamline Medicaid Determinations
This report examines how implementing Asset Verification Systems (AVS) can streamline Medicaid eligibility determinations for seniors and individuals with disabilities by automating the verification of applicants' financial assets.
-
Simplified, mobile-friendly SNAP application increases application rates
This research summary presents findings from a randomized controlled trial demonstrating how mRelief’s simplified SNAP application significantly increases application rates among eligible individuals.
-
Community Partnerships Playbook: How to Create Equitable Partnerships between Technical and Community Experts
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?
-
Webinar: Unwinding – Where Do We Go From Here?
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.
-
COVID-19’s Impact on the Social Safety Net
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.
-
Rules as Code Demo Day | Demo 7: MITRE Corporation (CCASH) | Joe Ditre and Frank Ruscil
MITRE’s Joe Ditre and Frank Ruscil demoed the code for the Comprehensive Careers and Supports for Households (C-CASH) at Rules as Code Demo Day. The MITRE team expanded the accessibility of the Policy Rules Database and the Cost-of-Living Database (the prior demo) by creating a web service API and a front-end Window’s application called C-CASH Analytic Tool (CAT). CAT provides a more scalable, flexible, and portable functionality which allows end-users to generate various households to run eligibility scenarios across different U.S. counties and states. They are currently working to create a national data hub and analytics tool, starting with utilizing U.S. Census data and populating the data warehouse by pushing large amounts of data through the PRD.
-
Overcoming Barriers: Helping Self-Employed Applicants Access Their Full CalFresh Benefit
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.
-
A Gov How-To Guide For Recruiting User Research Participants
The U.S. Digital Response (USDR) developed a guide for recruiting user research participants for user research in a government setting.
-
AI-Powered Rules as Code: Experiments with Public Benefits Policy: Summary + Key Takeaways
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.