Trending
Check out what is currently trending on the Digital Government Hub.
Trending on the Hub
What are other people reading on the Hub? Check out what’s trending below.
-
Digitizing Policy + Rules as Code SNAP Eligibility Calculator
Unofficial calculator allowing users to find out whether they are eligible for food stamps and estimates the amount of benefits they can receive.
-
Policy Digital Benefit Beacons: Where Policy Meets Practice at BenCon 2024
Michigan's UIA director, Julia Dale, is leading the agency through transition by prioritizing lived experience, hope, grit, and values. Virginia's SNAP Program Manager, Michele Thomas, highlighted the success of Sun Bucks, a summer EBT child nutrition program that fed over 700,000 kids in its first year.
-
Digitizing Policy + Rules as Code Policy2Code Demo Day at BenCon 2024: Video and Recap
The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
-
Human-Centered Design Standardizing and Digitizing Government Forms in Canada: A Digital Service Network Spotlight
The Digital Service Network (DSN) spoke with GC Forms’ Senior Product Manager Stevie-Ray Talbot and Acting Head Ioana Contu to learn more about the team's approach to building GC Forms.
-
Automation + AI Government AI Readiness Index 2023
For 2023, Oxford Insights assesses the AI readiness of 193 governments across the world.
-
Product Management Takeoff Velocity and Rocket Fuel: How to Continue Forward Momentum at BenCon 2024
NYC's My File NYC and New Jersey's unemployment insurance system improvements demonstrate how successful digital innovations can be scaled across various programs, leveraging trust-building, open-source technology, and strategic partnerships.
-
Automation + AI Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.
-
Automation + AI Draft Guidelines for Participatory and Inclusive AI
This working draft resource helps individuals with aligning their work with the needs of the communities they wish to serve, while reducing the likelihood of harms and risks those communities may face due to the development and deployment of AI technologies.
-
Human-Centered Design How Login.gov uses roadmapping to build trust with its partners and the public
Login.gov created a first-of-its-kind, publicly-visible program roadmap and shares tips on how other programs can build their own roadmaps to improve transparency.