ethics 4 data science
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Applying causality
Applying causal models to analyze questions in algorithmic fairness and scientific reproducibility.
Nov 11, 2022
Joshua Loftus
Causal models
Causal models are useful for understanding different kinds of statistical relationships between two or more variables.
Oct 31, 2022
Joshua Loftus
Motivations for types of fairness
The data and formal precision of predictive algorithms make…
Oct 22, 2022
Joshua Loftus
Fairness and prediction
The data and formal precision of predictive algorithms make…
Oct 16, 2022
Joshua Loftus
Ethical research conduct
Historical examples of harmful research, guidelines for ethical research, reproducible practices.
Oct 10, 2022
Joshua Loftus
What do we want from Statistics?
Vignettes about the history, philosophy, and profession of statistics.
Oct 3, 2022
Joshua Loftus
Introduction and examples
We begin by considering examples within two broad themes: the replication crisis in science and fairness and inequality in algorithmic or data-driven systems.
Sep 26, 2022
Joshua Loftus
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