Alluma is a nonprofit that provides digital solutions to simplify eligibility screening and enrollment for social benefit programs, supporting cross-benefit access in 45 counties and two states. Their One-x-Connection product suite streamlines Medicaid and SNAP applications using a business rules engine, with a focus on human-centered design and anonymous, simplified eligibility checks, having helped screen over 10 million individuals and submitted over 67 million applications.
The Texting Playbook provides guidance and well-researched strategies to help state agencies implement texting in support of Medicaid, SNAP, WIC, and other benefits programs. It provides an overview of how to start texting clients; the types of messages to send, including real examples; Federal Communications Commision (FCC) policy guidance; how to encourage opt-ins and collect consent; how to avoid coming across as spam; and a cost analysis of texting.
PolicyEngine is a nonprofit that provides a free, open-source web app enabling users in the US and UK to estimate taxes and benefits at the household level, while also simulating the effects of policy changes. By combining tax and benefits data, PolicyEngine helps individuals and policymakers better understand the impacts of existing policies and proposed reforms, using microsimulation models built from legislation and enhanced survey data.
Github repository for Policy Rules Database, which encodes up-to-date rules and provisions for all major federal and state public assistance programs, taxes, and tax credits.
Created by Benefits Data Trust, Benefits Launch Express is a high-level eligibility screening and assistance finder available to Philadelphia residents. The tool screens eligibility for 29 programs and is estimated to take up to 10 minutes to complete.
In June 2021, we analyzed the paper (PDF) version of the SNAP (food stamps) application for all 53 participating states and territories. We found that the average paper application was 17 pages long, including all informational pages. Considering that some paper applications included additional programs, we also analyzed which of those pages included questions about SNAP. On average, the paper applications included SNAP content on 9 pages.
mRelief recently completed a research study to investigate whether there are specific parts of the Supplemental Nutrition Assistance Program (SNAP; also known as food stamps) benefits application process that make it difficult to complete. We conducted interviews with mRelief users and SNAP outreach workers (individuals whose job responsibilities include providing SNAP application assistance in person or over the phone) in Illinois. We also conducted group interviews with SNAP outreach workers to collaborate with them to uncover findings and develop recommendations.
From April 13, 2020 to July 31, 2020, individuals in Kentucky who were determined to be likely eligible for food stamps after completing mRelief’s eligibility screener were randomly assigned to be in either the treatment or the control group. mRelief’s simplified application led to a statistically significant increase in SNAP application completion - from 32% in the control group (status quo) to 59% in the treated group (mRelief).
PolicyEngine US is a Python-based microsimulation model of the US tax and benefit system. It models federal individual income taxes (including credits), major benefit programs, and state income taxes (currently in six states). The PolicyEngine US package can be used as a Python package, via the PolicyEngine API, or via the policyengine.org web app.
mRelief is a nonprofit that helps individuals in all 53 U.S. states and territories determine SNAP eligibility and apply using easy-to-use web and text tools. Their simplified, inclusive approach has supported over 2.7 million people and unlocked over $1 billion in benefits, focusing on minimizing barriers and adapting eligibility rules across states.
Benefits Data Trust (BDT) is a nonprofit that connects people to public benefits through a streamlined, phone-based application system called Benefits Launch, which reduces redundant questions and speeds up the process for multiple programs. BDT's approach, supported by a custom-built rules engine, has facilitated over 800,000 benefit enrollments, helping secure over $9 billion for eligible households across seven states.
