During this event, researchers addressed questions with findings from data collected from state UI agencies across the country and focus groups with women who have experienced unemployment.
Few large government software projects are successful, as current ecosystems in place at agencies do not support agile development practices. This guide provides instructions to federal agencies on how to effectively budget for, procure, and oversee software development projects.
The IRS Direct File Pilot Program After Action Report evaluates the 2024 pilot of a free, government-run tax filing system, assessing taxpayer participation, user experience, and potential for future expansion.
This study evaluates the use of RPA technology by three states to automate SNAP administration, focusing on repetitive tasks previously performed manually.
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
These guidelines provide technical requirements for federal agencies implementing digital identity services and are not intended to constrain the development or use of standards outside of this purpose. This guideline focuses on the enrollment and verification of an identity for use in digital authentication.
National Institute of Standards and Technology (NIST)
This report summarizes 19 SNAP policy options (in effect as of Oct. 1, 2023) and waivers (implemented as of July 1, 2023) chosen by SNAP state agencies (50 states, the District of Columbia, Guam, and Virgin Islands) in federal fiscal year (FY) 2023.
This handbook highlights the flexibilities in the Federal Acquisition Regulation (FAR) that can help agencies implement “plays” from the Digital Services Playbook, with a particular focus on how to use contractors to support an iterative, customer-driven software development process.
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
National Institute of Standards and Technology (NIST)
