Difference between revisions of "User:Crepaci"
From REU@MU
(→About Me) |
|||
| Line 8: | Line 8: | ||
'''Week 1''' | '''Week 1''' | ||
June 1 to June 7 | June 1 to June 7 | ||
| − | + | # Orientation | |
| − | + | #* Introduction to other mentors, mentees, and REU heads Dr. Praveen Madiraju and Dr. Dennis Brylow | |
| − | + | #* Review of REU calendar and expectations | |
| − | + | # Data Science Bootcamp (talk by Dr. Madiraju) | |
| − | + | #* Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook) | |
| − | + | #** Read in data | |
| − | + | #** Pre-processing | |
| − | + | #** Modeling | |
| − | + | #** Data visualization | |
| − | + | # Good Research Practices (talk by Dr. Brylow) | |
| − | + | # Literature Review | |
| − | + | #* [A Human-Centered Review of Algorithms used within the U.S. Child Welfare System](https://dl.acm.org/doi/abs/10.1145/3313831.3376229) | |
| − | + | #* [Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services](https://dl.acm.org/doi/abs/10.1145/3290605.3300271) | |
| − | + | #* [Child Welfare System: Interaction of Policy, Practice, and Algorithms](https://dl.acm.org/doi/abs/10.1145/3323994.3369888) | |
| − | + | #* (Supplementary) [Risk vs. Restriction: The Tension between Providing a Sense of Normalcy and Keeping Foster Teens Safe Online](https://dl.acm.org/doi/abs/10.1145/3290605.3300497) | |
Revision as of 18:00, 15 June 2020
About Me
I'm Charlie Repaci, a senior at Simmons University studying Data Science, with a special interest in Biochemistry and Sociology. This summer I am working with Dr. Shion Guha and doctoral candidate Devansh Saxena on Developing Ethical Algorithms for Placement Stability in the Foster Care System.
Work Log
Week 1 June 1 to June 7
- Orientation
- Introduction to other mentors, mentees, and REU heads Dr. Praveen Madiraju and Dr. Dennis Brylow
- Review of REU calendar and expectations
- Data Science Bootcamp (talk by Dr. Madiraju)
- Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook)
- Read in data
- Pre-processing
- Modeling
- Data visualization
- Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook)
- Good Research Practices (talk by Dr. Brylow)
- Literature Review
- [A Human-Centered Review of Algorithms used within the U.S. Child Welfare System](https://dl.acm.org/doi/abs/10.1145/3313831.3376229)
- [Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services](https://dl.acm.org/doi/abs/10.1145/3290605.3300271)
- [Child Welfare System: Interaction of Policy, Practice, and Algorithms](https://dl.acm.org/doi/abs/10.1145/3323994.3369888)
- (Supplementary) [Risk vs. Restriction: The Tension between Providing a Sense of Normalcy and Keeping Foster Teens Safe Online](https://dl.acm.org/doi/abs/10.1145/3290605.3300497)
