The New South Wales government describes its efforts to connect with other Australian jurisdictions and international colleagues in its move towards making machine-consumable legislation and policy.
Government agencies at all levels collect administrative data in the course of their day-to-day operations. While such information has been used to determine effectiveness through program evaluations for many years, program administrators view it increasingly as a valuable resource that can also be used to improve program performance. For example, administrative data from employment and public benefits programs such as Temporary Assistance for Needy Families (TANF) can offer insights into families’ unmet needs and ways to improve services.
This academic paper examines how federal privacy laws restrict data collection needed for assessing racial disparities, creating a tradeoff between protecting individual privacy and enabling algorithmic fairness in government programs.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This UN report warns against the risks of digital welfare systems, emphasizing their potential to undermine human rights through increased surveillance, automation, and privatization of public services.
This page includes data and observations about authentication and identity proofing steps specifically for online applications that include child care applications.
This guiding framework supports thoughtful evaluation of how new digital technology-based proposals can affect the U.S. public sector, with a particular focus on their impacts on human rights, social and economic justice, and democratic values. It will benefit funders, procurement officers, and advocates evaluating proposed projects that are often framed as “tech for good,” “justice tech,” or public interest technologies.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
This primer introduces two foundational software types that can support organizations that are committed to accessible benefits information: content management systems (CMS) and application program interfaces (APIs).
This article discusses the various benefits of publicly-funded open-source software. These benefits include fairness and transparency, economic stimulus, and support of the Federal Source Code Policy Agenda.
