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# TEMPLATE-base-repo | ||
## Predictive Model Based on Homelessness | ||
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Create a new branch from dev, add changes on the new branch you just created. | ||
Client Team: | ||
Dr. Tom Byrne | ||
Associate Professor, School of Social Work, BU | ||
Dr. Molly Richard | ||
Postdoctoral Associate, Center for Innovation in Social Science, BU | ||
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Open a Pull Request to dev. Add your PM and TPM as reviewers. | ||
Instructor: Prof. Thomas Gardos | ||
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Technical Project Manager (TPM): Dhruv Shah | ||
Project Manager (PM): Jasmine Dong | ||
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Team Members: | ||
Syeda Shehrbano Aqeel (team lead) | ||
Samritha Aadhi Ravikumar | ||
Kunshu Yang | ||
Renjie Fan | ||
Shiheng Xu | ||
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## Project Overview: | ||
Goal: Develop a predictive model of homelessness at the community level using data from 2007-2023. | ||
Focuses on approximately 400 Continuums of Care (CoC) that receive federal homeless assistance funding from the U.S. Department of Housing and Urban Development (HUD). | ||
Unique Focus: Unlike previous studies that predict homelessness at the individual level, this project centers on community-level factors. | ||
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## Data Sources: | ||
Primary Data: Annual homelessness counts from HUD across CoC units. | ||
Additional Data: Publicly available community-level factors such as rent rates, demographic and economic conditions, aggregated by CoC. | ||
Timeframe: 2007 to 2023. | ||
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## Key Research Questions: | ||
Moving beyond simply identifying associations between community-level factors and homelessness. | ||
Objective: Predict the number or rate of homelessness in each CoC based on structural determinants like rent levels and economic conditions. | ||
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## Methodology and Tools: | ||
Modeling Approach: Regression models or other predictive machine learning techniques. | ||
Required Skills: Familiarity with regression models, feature engineering, and experience with the pandas and scikit-learn packages in Python. | ||
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# TEMPLATE-base-repo | ||
Create a new branch from dev, add changes on the new branch you just created. | ||
Open a Pull Request to dev. Add your PM and TPM as reviewers. | ||
At the end of the semester during project wrap up open a final Pull Request to main from dev branch. |