The article discusses the phenomenon of model multiplicity in machine learning, arguing that developers should be legally obligated to search for less discriminatory algorithms (LDAs) to reduce disparities in algorithmic decision-making.
The Equitable Community Engagement Toolkit is a toolkit created by City of Philadelphia engagement practitioners and community members to help improve equitable collaboration with the community the City serves.
City of Philadelphia Office of Civic Engagement and Volunteer Service
While millions of workers have gained access to PFML, the lack of uniformity in mandatory PFML programs created a growing patchwork of state laws, differing on nearly 30 policy components across four key areas: substantive benefits, financing, eligibility, and administrative requirements.
The NIST Risk Management Framework (RMF) Introductory Courses offer free, self-paced online training on managing cybersecurity and privacy risks using NIST’s RMF methodology and related publications.
National Institute of Standards and Technology (NIST)
The team introduced "Policy Pulse," a tool to help policy analysts understand laws and regulations better by comparing current policies with their original goals to identify implementation issues.
Understanding the strengths and weaknesses of the available low-code/no-code tools will help you pick the right tool for the job and balance their sometimes significant weaknesses with their tremendously valuable strengths.
This is a community-based project focused on creating and maintaining a resource for researchers and research operations specialists that will empower people to find out not only what tools are being used, but also in which industry, by what size of teams, and where in the world.
mRelief launches Johnnie, a platform that centers client dignity and enables client management from anywhere. Features include client communication mechanisms, assistance for document submission, keeping track of enrollment process, and tracking enrollment metrics.
The team examined how AI, specifically LLMs, could streamline the case review process for SNAP applications to alleviate the burden on case workers while potentially improving accuracy.
The story of Andrew Petrisin and the FLOW system demonstrates how the U.S. DOT successfully overcame barriers in government tech by building a collaborative, user-centered logistics platform that provided value to stakeholders during the 2021 supply chain crisis.
