Topic: Data
-
Automation + AI 
State of New York Acceptable Use of Artificial Intelligence Technologies
The New York State Office of Information Technology established guidelines for the acceptable and responsible use of Artificial Intelligence technologies by state entities.
-
Data 
SNAP Community Characteristics Dashboard Congressional District Explorer
This exploratory tool was built to share information about SNAP participation, income, and household demographics within each congressional district. Users may select their own district, along with any other district of interest, and can compare two districts at once within a given state.
-
Management 
Data Literacy Within State Government: Building a Knowledgeable Workforce That Knows How to Use Data for Better Decisions
The National Association of State Chief Information Officers (NASCIO) convened a panel of state chief data officers who shared their approaches and experiences with data literacy. The panel provides recommendations for establishing a state-level data literacy program, ensuring that employees understand how to use data effectively for better decision-making.
-
Human-Centered Design 
Digital Services Playbook
The Digital Services Playbook by the U.S. Digital Service outlines 13 essential principles for effective digital projects. The 13 key "plays" are drawn from successful practices from the private and public sectors. The playbook aims to help government agencies create user-centric, efficient digital services that meet citizens' needs and enhance overall delivery.
-
Automation + AI 
State of Rhode Island EO 24-06: Artificial Intelligence and Data Centers of Excellence
Executive Order from the State of Rhode Island establishing the Artificial Intelligence Task Force and a Center of Excellence for AI and Data.
-
Human-Centered Design 
How GC Forms can help collect data for public services
Case study Natural and Non-prescription Health Products Directorate (NNHPD) at Health Canada's experience using GC Forms.
-
Data 
Data Resource Library
Collection of data resources
-
Data 
Chief Digital Officer for London 2023 Playback
A 2023 playback from the city of London’s Office of Technology and Innovation of recent efforts to improve data and technology innovation across the city.
-
Data 
New Jersey’s Coordinating SNAP & Nutrition Supports Impact Report
The New Jersey Department of Human Services and New Jersey Department of Health collaborated in their Coordinating SNAP & Nutrition Supports project to enhance the enrollment and coordination of SNAP and WIC programs. By developing the NJ Nutritional Data Hub and an innovative webservice, the project identified and reached out to families receiving SNAP but not WIC, and vice versa, significantly streamlining the adjunctive eligibility process. This report documents best practices and lessons learned from their project.
-
Data 
Kansas’ Coordinating SNAP & Nutrition Supports Impact Report
Kansas' Department for Children and Families and Department of Health and Environment partnered with Delivering Change as part of cohort 1 of the Coordinating SNAP & Nutrition Supports program to enhance SNAP and WIC access in seven key counties through innovative data sharing and targeted outreach to identify and enroll eligible individuals. This report documents best practices and lessons learned from their project.
-
Data 
New Mexico’s Coordinating SNAP & Nutrition Support Impact Report
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. Their new online interface automates the referral process, making it easier for families to access the nutrition and economic supports they are eligible for.
-
Data 
Michigan’s Coordinating SNAP & Nutrition Supports Impact Report
The Michigan Department of Health and Human Services, together with the Food Bank Council of Michigan and the Michigan Department of Education developed a comprehensive Food Insecurity Map and a closed-loop referral system for nutrition and economic supports. The goal of these initiatives was to leverage cross-sector data to inform policy decisions, streamline access to food assistance, and reduce administrative burden. This report documents lessons learned and outcomes of their project.