Prioritizing Which Homeless People Get Housing Using Predictive Algorithms: An Evidence-Based Approach to Prioritizing High-Cost and High-Need Homeless Persons for Permanent Supportive Housing
April 29, 2017 / By Halil Toros and Daniel Flaming / Economic Roundtable
This paper explains the methods used to develop the Silicon Valley Triage Tool for identifying homeless individuals in jails, hospitals and clinics who have continuing crises in their lives that create very high public costs. The model is very robust and accurate, taking advantage of advanced prediction methodologies and a unique and exceptionally valuable database created by Santa Clara County, home to Silicon Valley, linking service and cost records across county departments for the entire population of residents who experienced homelessness over a six-year period – a total of 104,206 individuals.