This dashboard provides a comprehensive view of underlying trends in unemployment across Michigan. It serves as an invaluable resource for understanding the impacts of unemployment on various industries, occupations, and communities. By providing detailed insights into sectors experiencing layoffs, claimant demographics, and the regions most affected, the dashboard equips us with the data needed to develop targeted solutions tailored to the needs of Michiganders.
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
Due to technology’s disruptive force in society and on the labor force, it is necessary to revisit the relationship between employees, governments, and citizens. This report asserts that the next president should immediately sign two Executive Orders (EOs) to address the current work crisis and the urgent economic emergency that has left Americans evicted, unable to pay bills, make rent, or put food on the table.
The GAO placed the UI system on its High Risk List in June 2022, leading the DOL to develop a transformation plan detailing activities and strategies for building a resilient UI system capable of responding effectively to future economic challenges.
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
This section of the Building Resilience plan outlines comprehensive strategies to help states prevent, detect, and recover unemployment insurance (UI) fraud while protecting legitimate claimants.
This resource is a research paper examining the role of the public safety net in insuring job losers against income loss, analyzing which government programs provide financial support and how benefits vary based on pre-job loss income levels.
This HuffPost article investigates the widespread failures of state unemployment websites during the COVID-19 pandemic, highlighting outdated technology, accessibility issues, and the human impact of these systemic breakdowns.
This article examines how outdated state unemployment insurance (UI) systems struggled during the COVID-19 pandemic, leading to delays, technical failures, and widespread frustration for job seekers.
This post argues that for the types of large-scale, organized fraud attacks that many state benefits systems saw during the pandemic, solutions grounded in cybersecurity methods may be far more effective than creating or adopting automated systems.
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
The NYC Benefits Screening API provides machine-readable calculations and criteria for benefits screening that power the ACCESS NYC screening questionnaire.
