Difference between revisions of "Developing Ethical Algorithms for Placement Stability in the Foster Care System"
From REU@MU
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* Orientation | * Orientation | ||
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* Begin literature review -- algorithms in social work | * Begin literature review -- algorithms in social work | ||
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* Continue literature review -- ethics and algorithms | * Continue literature review -- ethics and algorithms | ||
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* Technical writing workshop | * Technical writing workshop | ||
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* Continue literature review -- bias in algorithms and policy | * Continue literature review -- bias in algorithms and policy | ||
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* Develop more specific questions and a plan of analysis | * Develop more specific questions and a plan of analysis | ||
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* Exploratory data visualization | * Exploratory data visualization | ||
* TBD | * TBD | ||
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* Data analysis and model development | * Data analysis and model development | ||
* TBD | * TBD | ||
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* Data analysis and model development | * Data analysis and model development | ||
* TBD | * TBD | ||
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* Data analysis and model development | * Data analysis and model development | ||
* TBD | * TBD | ||
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* Data analysis and model development | * Data analysis and model development | ||
* TBD | * TBD | ||
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* Begin the final paper | * Begin the final paper | ||
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* Consider future work | * Consider future work | ||
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* Prepare and give the oral presentation | * Prepare and give the oral presentation |
Revision as of 19:05, 15 June 2020
Student: Charlie Repaci
Mentor: Dr. Shion Guha and Devansh Saxena
Description:
The goal of this project is to use a human-centered approach grounded in current social science theory and frameworks to add context to and further develop existing placement stability and risk assessment models that are used to aid overworked social workers in making, explaining, and standardizing their decisions.
Goals:
From the project page:
This project aims to collaborate with the WI Department of Children and Families and SaintA by utilizing important, useful and contextual caseworkers judgement that are recorded as detailed case notes but never actually used to add norms, values and context to existing algorithms that determine placement stability. Topic modeling will be used to extract latent themes from such text and incrementally added to existing placement stability models to test improvements in outcomes.
- Perform a literature review of topic modeling usage in the social science domain
- Understand latent and human context from caseworker notes in Wisconsin foster care system using the data provided from the mentor
- Review algorithmic biases, fairness, and transparency in the foster care system
- Evaluate the latent themes from text and incrementally add to existing placement stability models to test improvement in outcomes
Schedule:
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