Patrick Fowler, Washington University, St. Louis

Abstract

[Presentation Slides]

The UN Goal to make cities and communities sustainable emphasizes the importance of affordable housing. Yet, millions of Americans and hundreds of millions worldwide experience homelessness each year. The scarcity of housing assistance to relieve the burden of homelessness presents technical and ethical challenges for policymakers. Findings from a community-based research initiative demonstrate how algorithmic decision-making can incorporate local priorities to reduce the incidence of homelessness equitably across subpopulations. The transparent and replicable decision-making process provides a sustainable approach to help achieve the UN aim of leaving no one behind.