Rehabilitating Homeless: Dataset and Key Insights

Anna Bykova, Nikolay Filippov, Ivan P. Yamshchikov
2/9/2023
cs.LGcs.CY

No official code found. Best implementation: LEYADEV/homeless (9 stars, last commit 2022-12-05).

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.

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LEYADEV/homelessCommunity100%

Dataset and experiment results described in paper "Rehabilitating Homeless: Dataset and Key Insights"

91Jupyter NotebookDec 1, 20223 years ago

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Cite this paper

@article{bykova2023rehabilitating,
  title  = {Rehabilitating Homeless: Dataset and Key Insights},
  author = {Anna Bykova and Nikolay Filippov and Ivan P. Yamshchikov},
  year   = {2023},
  eprint = {2302.04455},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.04455v2}
}

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