iSchool Capstone

Pallet Shelter: Collecting Data To Enhance Village Models Aimed At Addressing Homelessness

Project tags:

data science & visualization

information behavior & user research

social justice

Pallet Shelter addresses unsheltered homelessness by constructing transitional shelter villages. To gather data on their impact, we developed a solution for collecting anonymized information from village residents. This measures the effectiveness of non-congregate village models in addressing residents' health, well-being, and homelessness journey. Google Forms surveys capture resident and service partner experiences, while a staff dashboard enables data analysis. Our solution provides insights into non-congregate villages' effectiveness by gathering data from residents and staff, enhancing our understanding. A project proposal was created to ensure Pallet is on the right track to obtaining constant data they want to enhance our solution.

Project participants:

Fatima Laghari

Informatics

Quan Ly

Informatics

Dellina Gebrehiwot

Informatics

Mark Butler

Informatics

Jaehoon Choi

Informatics