A comprehensive template for establishing legally compliant data-sharing agreements between government agencies, defining authorized purposes, privacy protections, security requirements, and governance responsibilities.
A research report examining how privacy and security risks are unevenly experienced across socioeconomic, racial, and ethnic groups, and how digital inequality shapes people’s exposure to harm and access to protective resources.
A practical guidance document outlining best practices for government procurement of data-driven technologies to improve transparency, accountability, and oversight.
This report examines federal efforts to connect eligible college students with Supplemental Nutrition Assistance Program (SNAP) benefits and identifies actions needed to improve outreach and program access.
An internal overview presentation showcasing Austin Transportation and Public Works’ Data & Technology Services team, its structure, values, and approach to delivering modern digital government services.
This technical brief uses predictive analytics to identify the primary drivers of SNAP payment error rates (PER) following the implementation of the One Big Beautiful Bill (OBBB).
This policy establishes a framework for ensuring the quality, accuracy, and reliability of government data to support effective decision-making, analytics, and artificial intelligence initiatives.
This guidance document provides a framework for developing an agency-wide data strategy that aligns data governance, management, and analytics with organizational goals and service delivery.
Practitioner Picks is a quarterly series designed to add fresh resources to the Digital Government Hub’s library, helping people improve government digital service delivery. Each issue spotlights resources chosen by practitioners in a specific service delivery area along with their insights on why these picks are valuable additions to the Hub.
This report provides an overview of the task force’s work in assessing, guiding, and recommending policies for the safe, ethical, and effective use of generative AI across Alabama’s executive-branch agencies.
State of Alabama Generative Artificial Intelligence (GenAI) Task Force
This toolkit provides individuals and organizations with guidance, drawn from learning and experience, on how to use administrative and other data to inform program improvements. It collects concrete strategies and practitioner-tested tools designed to advance these efforts. These materials were developed in pilot projects with local Temporary Assistance for Needy Families (TANF) agencies as part of the TANF Data Collaborative (TDC).
