Difference between revisions of "User:Crepaci"

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#* Review of REU calendar and expectations
 
#* Review of REU calendar and expectations
 
# Data Science Bootcamp (talk by Dr. Madiraju)
 
# Data Science Bootcamp (talk by Dr. Madiraju)
#* Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook)
+
#* Introduction and basics of data analysis with python (Anaconda and Jypyter Notebook; pandas, numpy, matplotlib, seaborn, scipy)
 
#** Read in data
 
#** Read in data
 
#** Pre-processing
 
#** Pre-processing
 
#** Modeling
 
#** Modeling
 
#** Data visualization
 
#** Data visualization
#** Packages:
 
#*** pandas
 
#*** numpy
 
#*** matplotlib and matplotlib.pyplot
 
#*** seaborn
 
#*** scipy
 
 
# Good Research Practices (talk by Dr. Brylow)
 
# Good Research Practices (talk by Dr. Brylow)
 
# Literature Review
 
# Literature Review
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#* [https://dl.acm.org/doi/abs/10.1145/3323994.3369888 Child Welfare System: Interaction of Policy, Practice, and Algorithms]
 
#* [https://dl.acm.org/doi/abs/10.1145/3323994.3369888 Child Welfare System: Interaction of Policy, Practice, and Algorithms]
 
#* (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]
 
#* (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]
 +
 +
'''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
 +
#* [http://dx.doi.org/10.2139/ssrn.2245322 Governing Algorithms: A Provocation Piece]
 +
#* [https://academiccommons.columbia.edu/doi/10.7916/D8ZK5TW2 Algorithmic Accountability Reporting: On the Investigation of Black Boxes]
 +
#* [http://www.tandfonline.com/doi/full/10.1080/1369118X.2016.1154087#abstract Thinking Critically About and Researching Algorithms]
 +
#* (Supplementary) [http://culturedigitally.org/wp-content/uploads/2016/07/Gillespie-2016-Algorithm-Digital-Keywords-Peters-ed.pdf Algorithm in Digital Keywords: a Vocabulary of Information, Society, and Culture]
 +
# Meeting with mentors
 +
#* Github created for the project
 +
#* Questions and discussion of the literature reviewed
 +
#* Planned work for the next two weeks

Revision as of 18:19, 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; pandas, numpy, matplotlib, seaborn, scipy)
      • Read in data
      • Pre-processing
      • Modeling
      • Data visualization
  3. Good Research Practices (talk by Dr. Brylow)
  4. Literature Review

Week 2 June 8 to June 14

  1. 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
  2. Worked on getting Citi certification for all three RCR sessions
  3. 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
  4. Literature review
  5. Meeting with mentors
    • Github created for the project
    • Questions and discussion of the literature reviewed
    • Planned work for the next two weeks