Difference between revisions of "User:Crepaci"
From REU@MU
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===Week 3=== | ===Week 3=== | ||
June 15 to June 21 | June 15 to June 21 | ||
| + | # Set up Wiki entrees for myself and my project | ||
| + | # Meeting with all REU interns to discuss our projects so far and any problems we have run into | ||
| + | # Literature review | ||
| + | #* [https://dl.acm.org/doi/abs/10.1145/3290605.3300760 Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions] | ||
| + | #* [https://journals.sagepub.com/doi/abs/10.1177/2053951717738104 Algorithms as culture: Some tactics for the ethnography of algorithmic systems] | ||
| + | #* (Supplementary) [https://journals.sagepub.com/doi/full/10.1177/2053951717751552 Algorithms as fetish: Faith and possibility in algorithmic work] | ||
| + | # Meeting with Devansh to discuss the first dataset | ||
| + | #* Understand variables and components -- reading the documentation that comes with datasets | ||
| + | #* Import dataset into R and common problems | ||
===Week 4=== | ===Week 4=== | ||
Revision as of 22:13, 23 June 2020
Contents
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; pandas, numpy, matplotlib, seaborn, scipy)
- Read in data
- Pre-processing
- Modeling
- Data visualization
- Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook; pandas, numpy, matplotlib, seaborn, scipy)
- Good Research Practices (talk by Dr. Brylow)
- Literature Review
- A Human-Centered Review of Algorithms used within the U.S. Child Welfare System
- Toward Algorithmic Accountability in Public Services: A Qualitative Study of Affected Community Perspectives on Algorithmic Decision-making in Child Welfare Services
- Child Welfare System: Interaction of Policy, Practice, and Algorithms
- (Supplementary) Risk vs. Restriction: The Tension between Providing a Sense of Normalcy and Keeping Foster Teens Safe Online
Week 2
June 8 to June 14
- Responsible Conduct of Research Training (talk by Dr. Brylow)
- Ethical treatment of data
- Authorship, credit, plagiarism
- Human participants
- Intellectual property
- Conflicts of interest and professional standards
- Worked on getting Citi certification for all three RCR sessions
- Technical Writing Workshop (talk by Dr. Brylow and Dr. Madiraju)
- What the sections of a technical paper are
- What the publication process is like
- General tips
- Literature review
- Meeting with mentors
- Github created for the project
- Questions and discussion of the literature reviewed
- Planned work for the next two weeks
Week 3
June 15 to June 21
- Set up Wiki entrees for myself and my project
- Meeting with all REU interns to discuss our projects so far and any problems we have run into
- Literature review
- Meeting with Devansh to discuss the first dataset
- Understand variables and components -- reading the documentation that comes with datasets
- Import dataset into R and common problems
Week 4
June 22 to June 28
Week 5
June 29 to July 5
Week 6
July 6 to July 12
Week 7
July 13 to July 19
Week 8
July 20 to July 26
Week 9
July 27 to August 2
Week 10
August 3 to August 9
