A strong overall majority of Californians recognize the power of data to help address issues of homelessness
86% say its important to create a statewide homelessness database
Most Californians favor data to track the availability and use of resources available to the homeless population
Most Californians support community facilities to provide overnight accommodations for veterans and others experiencing homelessness
79% said yes to support community facilities being used as centers for homeless veterans
74% said yes its important to provide a homeless person a place to sleep for the night
United States Interagency Council on Homelessness
Integrate Health Care
Build Career Pathways
Foster Education Connections
Strengthen Crisis Response Systems
Reduce Criminal Justice Involvement
Data is the catalyst
Collaboration makes radical change possible
clear the path of structural and systemic barriers
Implementing a Data-Driven Approach to Tackling Homelessness: Understanding The Ecosystem of Solutions
Are these siloed investments, initiatives, and programs working in concert with each other to solve the problem?
How often is academic data and research translated into action in the field?
How many government-funded institutions actually share data with each other or, for that matter, talk to each other?
How many shelter providers work with churches, schools, and other community entities in order to provide advocacy to the homeless?
Are low-income housing developments built at the pace and in the geography needed based on real-time data from shelter providers?
A properly-defined ecosystem of solutions would answer these questions and many more.
Each individual solution is targeted towards a specific symptom of homelessness. This ecosystem of solutions there are some entities that work on their own and independent of the whole, some entities that work together but are woefully misaligned, and some entities that just don’t work at all.
In order to build a citywide data-driven strategy for tackling homelessness, the ecosystem should function in a cohesive manner towards completing tasks and initiatives that will help to bring down the homeless count in a city.
Journal of Technology in Human Services
This suggests that “long-term” shelter residents and those that re-enter shelters contribute significantly to the rise of the homeless population living in city shelters and indicate systemic challenges to finding adequate permanent housing.
Understand the factors that predict readmission and length-of-stay of homeless families.
Create a unified, comprehensive database of the homeless population in shelters, accounting for more than 6,000 homeless families.
Applied logistic regression models and an unsupervised clustering algorithm to identify predictors of re-entry and long-term length-of-stay. Citizenship, age, medical conditions, employment, and history of foster care or shelter stays as a child are found to be significant predictors.
Results of the K-means clustering identify three primary groups, consistent with previous typologies characterized by transitionally homeless, episodically homeless, and chronically homeless.
National Alliance to End Homeless
A Coordinated Approach
Housing as the Solution
Assistance for the Most Vulnerable
Designing a Crisis Response
Increasing Employment and Income
US Housing And Urban Development
Paradigm shift in the goals and approaches of the homeless assistance network
Clear goal setting
Leadership and an effective organizational structure
Mainstream agency involvement
Catalyst trigger event
Private sector involvement
Local elected official commitment
Progress tracking mechanisms
New Approaches to services
strategy to handle and minimize negative reactions to locating projects in neighborhoods (NIMBY response)