Week 9
Systematic Data Issues
October 27-29
Embedded Files
Programming Concepts and Learning Outcomes:
Systematic Exclusion
Sampling and other biases
Tuesday Class Section
Tuesday Class Section
Topics:
Systematic Exclusion
Survey Design
Due Today:
🔢Poverty Threshold Presentation
Link to folder: "Behind The Number Presentation" Â
Dear Data (6) - Risk/Safety theme
📚 Stantcheva, "How to Run a Survey" reading due
Thursday Class Section
Thursday Class Section
Topics:Â
Sampling and Other Bias
Time permitting, we will look at: Gendered Language in Teaching Reviews
Thinking about validity, you may want to check out: https://www.kaggle.com/datasets/adilshamim8/turkiye-student-evaluation
Working with synthetic text data:
Prompt used to generate the data: Survey.docx
Code we will use in class: Week9TextData.R
Data we will use in class: ClaudeEvals.csv
Due Today:
🔢Air Quality Index Presentation
Link to folder: "Behind The Number Presentation" Â
🔔Next Week:
GDP Presentation
Link to folder: "Behind The Number Presentation"
"Price of Inequality" Reading Due
Dear Data (7) - Community/Space theme
GINI Coefficient Presentation
Link to folder: "Behind The Number Presentation"
TUESDAY, NOV 3
THURSDAY, NOV 5
📚To read before next Tuesday: Â
Be ready to brainstorm other important missing data sets!
Stiglitz, J. E. (2012). The price of inequality: How today’s divided society endangers our future. W. W. Norton & Company.
Link: "The price of Inequality" Â
Link: "Quick Reading Guide"
Be ready to talk about how data and data-driven decisions intersect with Stiglitz's points. What data is missing that could address the concerns that he raises?
📚Reading for TBD:Â
Radin, J. (2017). "'Digital Natives': How medical and indigenous histories matter for big data." Osiris, 32(1), 43–64.
Link: "Radin Digital Natives"Â
Link: "Quick Reading Guide"
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