đź“•
Values-Based Data Science & Design

Primary Sources Reading List

💪🏻
PDF versions of these papers and books are available here

Embed Dropbox

Week 1 — What are Values?

💪🏻
This book, 📕Values-Based Data Science & Design, builds on a notion of values derived mainly from the work of Charles Taylor and Ruth Chang. David Velleman has best description of why values would naturally arise as part of society and individual self-understanding. James Gibson’s theories of information pickup and affordances gets at why values can be considered as attentional policies.

Charles Taylor, What is Human Agency? (1977)

Charles Taylor, the Diversity of Goods (1982)

Ruth Chang, Putting Together Morality and Wellbeing (2004)

Ruth Chang, All Things Considered (2004)

David Velleman, Practical Reflection (1989) BOOK

James J Gibson, The Senses Considered as Perceptual Systems (1966) BOOK

Week 2 — Problems w. Revealed Preferences in measuring benefit and in social choice

💪🏻
Nobel-prize winning economist Amartya Sen clearly articulated how revealed preference is inadequate for (a) measuring benefit (e.g., in product success metrics of measures of welfare), (b) as an information basis for making group decisions (in econ this is called “social choice functions”); or (c) as a description of how people make rational choices.

Amartya Sen, Rational Fools

Amartya Sen, Behavior and the Concept of Preference

Sen, Equality of What

Week 3 — Transaction Costs, Funnels, Tubes, and Spaces

Coase, …

Week 4 — Mathematical Structure of Values and Choice

Ruth Chang, Incomparability and Practical Reason (1997) BOOK

Isaac Levi, Hard Choices (1986) BOOK

Week 5 — Value Realism

Richard Boyd, How to Be a Moral Realist

Week 6 — Evolution of Norms

Axelrod

Charles Taylor, The Language Animal

Week 7 — Intellectual History, Theory of Ideological Spread & Social Imaginaries

Charles Taylor, Sources of the Self

Want to learn this is a social environment?