This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
This kit contains a collection of styles, components, and building blocks to quickly create action-forward emails for Unemployment Insurance programs within the U.S.
This report shares the results of our comprehensive content audit and heuristic evaluation of eligibility pre-screeners, including ratings on security, mobile-friendly design, accessibility, and more.
This video shows you how to get started with using Generative AI tools, including Bard, Bing, and ChatGPT, in your work as public sector professionals.
In 2022, Nava formed its first-ever PAC as part of their initiative to help Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) program design a new recertification portal. Leveraging what Nava learned from this experience, this toolkit outlines the necessary steps to form a PAC, including planning a structure for the council, recruiting participants, and other logistics.
This case study describes Nava's with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an eligibility screener tool.
This case study describes Nava's work with the state of Montana’s Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) agency to build an API prototype, which is part of Nava's larger work inform a national API standard.
The WIC program is highly effective at improving nutrition for recipients, but barriers like in-person appointments and closed management systems limit enrollment. Nava PBC developed a prototype API and digital screener in Montana to streamline eligibility and enhance program access, illustrating how API standards could improve interoperability and modernize WIC systems nationwide.
Research identified five key obstacles that researchers, activists, and advocates face in efforts to open critical public conversations about AI’s relationship with inequity and advance needed policies.
