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.
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.
A catalogue to help teams design trustworthy services that work for people. Categories including informing decisions, signing into services, giving and removing consent, and doing security checks.
This article from Civil Eats explores how expanding online purchasing options for SNAP recipients can improve food security, especially in the wake of the COVID-19 pandemic.
This guide by Cyd Harrell serves as a comprehensive manual for technologists aiming to engage effectively in public sector projects, offering practical advice on navigating government partnerships and driving impactful change.
This article reviews two examples of how Nava has used open-source technologies to bring human-centered testing practices to government services software.
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
U.S. Department of Health and Human Services (HHS)
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
In this presentation, Pia Andrews explores how open source legislation as code can be a public utility to increase transparency, and enable better implementation and testing of government systems.
In 2022, Nava formed its first-ever PAC as part of their initiative to help Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program design a new recertification portal. Leveraging what Nava learned from this experience, this toolkit outlines the necessary steps to form a PAC, including planning a structure for the council, recruiting participants, and other logistics.
