Using Predictive Risk Modeling to Prioritize Services for People Experiencing Homelessness in Allegheny County: Methodology Paper for the Allegheny Housing Assessment

This report summarises the development and implementation of the Allegheny Housing Assessment, a predictive risk modelling tool, built and deployed by the Centre for Social Data Analytics for the Allegheny County Department of Human Services, Pennsylvania, United States. The AHA will be used to support the prioritisation of people for longer term housing programs. A prioritisation tool is needed because the demand for housing exceeds supply. The AHA replaces the VI-SPDAT, a prioritisation system without local validation. The methodology provides background to the development of the AHA including a comparison between the AHA and the previously used VI-SPDAT. The methodology provides background on homeless services in Allegheny County and the decision to explore the use of a predictive risk modelling tool, before discussing elements including community engagement, the methodology used to develop the tool, accuracy and the business process it will be used within.

Citation:

Using Predictive Risk Modeling to Prioritize Services for People Experiencing Homelessness in Allegheny County. Centre for Social Data Analytics. Auckland, New Zealand. September 2020.

Related projects:

Homelessness Predictive Risk Model for Allegheny County, US