| Phase: |
Theme |
| Theme: | Theme 5 - Leveraging DATA and TECHNOLOGY to drive Policy and Practice (THEME5) |
| Status: | Active |
| Start Date: | 2021-06-23 |
| End Date: | 2024-12-31 |
| Principal Investigator |
| Messier, Geoffrey |
Project Overview
This project will use a merged health and emergency shelter dataset for Calgary to develop data science tools to better support vulnerable youth that interact with these systems. The project seeks to visualize system interactions and support predictive tools that can be used to identify at risk individuals.
Outputs
| Title |
Category |
Date |
Authors |
| A Simpler Method for Understanding Emergency Shelter Access PatternsThe Simplified Access Metric (SAM) is a new approach for characterizing emergency shelter access patterns as a measure of shelter client vulnerability. The goal of SAM is to provide shelter operators with an intuitive way to understand access patterns that can be implemented by non-technical staff using spreadsheet operations. Client data from a large North American shelter will be used to demonstrate that SAM produces similar results to traditional transitional, episodic and chronic client cluster analysis. Since SAM requires less data than cluster analysis, it is also able to generate a real time picture of how shelter access patterns are affected by external factors. Timelines generated from nine years of shelter client data using SAM demonstrate the impact of Housing First programming and the COVID-19 lockdown on how people access shelter. Finally, SAM allows shelter staff to move beyond assigning transitional, episodic and chronic labels and instead use the "soft" output of SAM directly as a measure of vulnerability. University of Calgary | Publication | 2023-12-01 | Geoffrey Messier |
| Data Visualization To Facilitate Compassionate Decision Making In Emergency Housing Shelters University of Calgary | Publication | 2023-06-01 | Teale Masrani, Helen Ai He, Geoffrey Messier |
| Early Identification of Youth at Risk of Long Term Emergency Homeless Shelter Use: An Evaluation of Interpretable Machine Learning Models University of Calgary | Publication | 2023-10-01 | Annaa Osman Jakpa, Geoffrey Messier |
| How to Link Agency Client Records and Protect Privacy University of Calgary | Publication | 2023-11-01 | Geoffrey Messier |
| The High Bar for Interpretable Machine Learning in Housing, Homelessness and Health University of Calgary | Publication | 2023-06-01 | Geoffrey Messier |
| Using Windowing As A Hyperparameter For Administrative Homelessness Data Classification University of Calgary | Publication | 2023-10-01 | Musa Taib, Geoffrey Messier |
| Visualizing Journeys Through the Housing and Homelessness System of Care University of Calgary | Publication | 2023-05-01 | Geoffrey Messier |
| Is Artifical Intelligence the Right Tool for Preventing Homelessness? University of Calgary | Presentation | 2022-11-03 | Geoffrey Messier |
| The Human Behind the Data: Reflections from an Ongoing Co-Design and Deployment of a Data-Navigation Interface for Front-Line Emergency Housing Shelter Staff University of Calgary | Publication | 2023-04-26 | Teale Masrani, Helen Ai He, Geoffrey Messier |
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