Difference between revisions of "User:Crepaci"

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(Work Log)
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# Good Research Practices (talk by Dr. Brylow)
 
# Good Research Practices (talk by Dr. Brylow)
 
# Literature Review
 
# 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)
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#* [https://dl.acm.org/doi/abs/10.1145/3313831.3376229 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](https://dl.acm.org/doi/abs/10.1145/3290605.3300271)
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#* [https://dl.acm.org/doi/abs/10.1145/3290605.3300271 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](https://dl.acm.org/doi/abs/10.1145/3323994.3369888)
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#* [https://dl.acm.org/doi/abs/10.1145/3323994.3369888 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](https://dl.acm.org/doi/abs/10.1145/3290605.3300497)
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#* (Supplementary) [https://dl.acm.org/doi/abs/10.1145/3290605.3300497 Risk vs. Restriction: The Tension between Providing a Sense of Normalcy and Keeping Foster Teens Safe Online]

Revision as of 18:04, 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

  1. Orientation
    • Introduction to other mentors, mentees, and REU heads Dr. Praveen Madiraju and Dr. Dennis Brylow
    • Review of REU calendar and expectations
  2. 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
  3. Good Research Practices (talk by Dr. Brylow)
  4. Literature Review