In our research announcement on theories of change (ToC) for digital government, the Digital Service Network shared our belief that all Digital Service (DS) teams should work to develop a ToC.
This study emphasizes the need for better tracking of gig economy data and qualitative insights, as interviews from the American Voices Project reveal how broader economic trends impacted individual lives and filled gaps during the pandemic.
This report discusses the financial resilience strategies families used to manage gaps before benefits arrived, in addition to providing recommendations for how benefits can be better designed in the future to fit the financial lives of lower-income households.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
Demand for public benefits is rising in response to continued economic pressure on vulnerable people, in addition to changes in eligibility rules for some safety net programs. This report summarizes existing benefits access efforts, studies the successes and challenges of benefits expansion efforts through a subset of in-depth case studies, and analyzes the potential for sustaining, expanding, and replicating successful efforts.
Office of the Assistant Secretary for Planning and Evaluation (ASPE)
This report describes C-Stat 2.0, an updated version of the the Colorado Department of Human Services’ performance-based analysis strategy that allows them to better focus on and improve performance outcomes that enhance people’s lives.
Digitizing public benefits policy will make the biggest impact for administrators and Americans, but only if it happens at the highest level of government.
In May 2020, Stanford's HAI hosted a workshop to discuss the performance of facial recognition technologies that included leading computer scientists, legal scholars, and representatives from industry, government, and civil society. The white paper this workshop produced seeks to answer key questions in improving understandings of this rapidly changing space.
The report examines how AI deployment across state and local public administration such as chatbots, voice transcription, content summarization, and eligibility automation are reshaping government work.
This guide outlines key strategies, definitions, and procedures for improving SNAP payment accuracy and reducing quality control (QC) error rates across states.
