These guidelines from the National Institutes of Standard and Technology provide technical requirements for federal agencies implementing digital identity services.
National Institute of Standards and Technology (NIST)
This article examines how administrative burdens in U.S. social safety net programs have changed over the past 30 years, showing that while average burdens have declined, inequality in who faces these burdens has grown.
The ANNALS of the American Academy of Political and Social Science
The New Mexico Human Services Department and Department of Health, as part of the Coordinating SNAP & Nutrition Supports program, leveraged data sharing to align SNAP, Medicaid, TANF, and WIC.
American Public Human Services Association (APHSA)
This academic paper examines predictive optimization, a category of decision-making algorithms that use machine learning (ML) to predict future outcomes of interest about individuals. Through this examination, the authors explore how predictive optimization can raise concerns that make its use illegitimate and challenge claims about predictive optimization's accuracy, efficiency, and fairness.
This article describes the General Services Administration’s efforts to get a limited number of state and local governments to try login.gov with their federally funded programs.
Code for America’s Integrated Benefits Initiative has been working in partnership with the State of Colorado to demonstrate how user-centered approaches lead to measurably better delivery of safety net programs. This article describes their work with the state of Colorado in simplifying how clients report common life changes that can affect their eligibility.
Artificial intelligence promises exciting new opportunities for the government to make policy, deliver services and engage with residents. But government procurement practices need to adapt if we are to ensure that rapidly-evolving AI tools meet intended purposes, avoid bias, and minimize risks to people, organizations, and communities. This report lays out five distinct challenges related to procuring AI in government.
18F describes modular contracting, the process of breaking up large, custom software procurements into a small constellation of smaller contracts. Modular procurement requires agile, product thinking, user-centered design, DevSecOps, and loosely-coupled architecture.
This Blueprint is a whole-of-government effort that aims to provide a resource to assist federal decisionmakers in leveraging social and behavioral science to improve policy and program design and delivery.
