CIS 241, Dr. Ladd
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Data Collection and Study Design
Visualization and Analysis
Interpretation and Communication
They are distinct from specific rules.
They are sometimes prescriptive or legally required.
Thinking beyond garbage in/garbage out. How do models amplify bias and problems in large datasets?
How do personal beliefs interact with good and ethical data analysis?
When do certain approaches/algorithms/models bring assumptions that embed bias?