Rehabilitating Homeless: Dataset and Key Insights
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 non-profit 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.
Cite
Text
Bykova et al. "Rehabilitating Homeless: Dataset and Key Insights." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I12.26654Markdown
[Bykova et al. "Rehabilitating Homeless: Dataset and Key Insights." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/bykova2023aaai-rehabilitating/) doi:10.1609/AAAI.V37I12.26654BibTeX
@inproceedings{bykova2023aaai-rehabilitating,
title = {{Rehabilitating Homeless: Dataset and Key Insights}},
author = {Bykova, Anna and Filippov, Nikolay and Yamshchikov, Ivan P.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2023},
pages = {14136-14143},
doi = {10.1609/AAAI.V37I12.26654},
url = {https://mlanthology.org/aaai/2023/bykova2023aaai-rehabilitating/}
}