Rehabilitating Homeless: Dataset and Key Insights

TL;DR

This paper introduces a comprehensive dataset on homelessness collected over twenty years and demonstrates how data analysis can improve rehabilitation efforts for homeless individuals.

Contribution

It provides the first rich dataset on homeless individuals seeking rehabilitation and highlights data-driven approaches to enhance rehabilitation effectiveness.

Findings

Dataset contains detailed information on thousands of homeless individuals.

Data analysis can identify key factors influencing successful rehabilitation.

The paper raises awareness of homelessness as a data science problem.

Abstract

This paper presents a large anonymized dataset of homelessness alongside insights into the data-driven rehabilitation of homeless people. The dataset was gathered by a large nonprofit organization working on rehabilitating the homeless for twenty years. This is the first dataset that we know of that contains rich information on thousands of homeless individuals seeking rehabilitation. We show how data analysis can help to make the rehabilitation of homeless people more effective and successful. Thus, we hope this paper alerts the data science community to the problem of homelessness.