论文标题
建议和风险分类系统，用于将粗糙的卧铺连接到基本的外展服务
A Recommendation and Risk Classification System for Connecting Rough Sleepers to Essential Outreach Services
论文作者
论文摘要
粗糙的睡眠是现代社会中一些最弱势的人面临的慢性问题。本文介绍了与英国慈善机构无家可归者Link合作开发的工作，以开发以数据为基础的方法来评估旨在将旨在与外展服务提供者一起在街头艰难的人连接到街头睡觉的人的传入警报质量。根据预测的可能性与粗糙的卧铺，有助于解决容量限制，并快速，有效地处理他们收到的所有警报的可能性，将警报优先考虑。初步评估得出的结论是，我们的方法将在标记的数据中至少提高至少15 \％后发现粗糙的卧铺者的速度，这意味着当考虑了未知结果的警报时，总体上增加了总体上升，并建议在更长的时间内评估模型的试验中的收益。讨论和建模过程是通过仔细考虑道德，透明度和解释性的仔细考虑，这是由于数据在这种情况下的敏感性以及受影响的人们的脆弱性。
Rough sleeping is a chronic problem faced by some of the most disadvantaged people in modern society. This paper describes work carried out in partnership with Homeless Link, a UK-based charity, in developing a data-driven approach to assess the quality of incoming alerts from members of the public aimed at connecting people sleeping rough on the streets with outreach service providers. Alerts are prioritised based on the predicted likelihood of successfully connecting with the rough sleeper, helping to address capacity limitations and to quickly, effectively, and equitably process all of the alerts that they receive. Initial evaluation concludes that our approach increases the rate at which rough sleepers are found following a referral by at least 15\% based on labelled data, implying a greater overall increase when the alerts with unknown outcomes are considered, and suggesting the benefit in a trial taking place over a longer period to assess the models in practice. The discussion and modelling process is done with careful considerations of ethics, transparency and explainability due to the sensitive nature of the data in this context and the vulnerability of the people that are affected.
