Chronic homelessness is a highly complex social problem of national importance. The
problem has elicited a variety of societal and public policy responses over the years …

Homelessness represents an enduring public health threat facing communities across the
developed world. Children, families, and marginalized adults face life course implications of …

Family homelessness has become a growing public health problem over the last 3 decades.
Despite this trend, few studies have explored the effectiveness of housing interventions and …

Modern statistical and machine learning methods are increasingly capable of modeling
individual or personalized treatment effects. These predictions could be used to allocate …

Homelessness is on the increase in most European states and remains at stubbornly high
levels across developed nations. This is despite increased policy attention, economic …

We introduce a machine learning approach to predict chronic homelessness from de-
identified client shelter records drawn from a commonly used Canadian homelessness …

Previous studies that have explored the association between childhood trauma and
homelessness indicate that traumatic events can lead to survivor distrust of interpersonal …

Street-level bureaucrats interact directly with people on behalf of government agencies to
perform a wide range of functions, including, for example, administering social services and …

This commentary considers policy implications of research in this volume and elsewhere,
and we emphasize the benefits of policy approaches that move “upstream,” to the prevention …

Successful strategies for homelessness prevention must efficiently target people at greatest
risk for experiencing homelessness. We developed a model to target homelessness …