Data Science W231

Behind the Data: Humans and Values

3 units

Course Description

Intro to the legal, policy, and ethical implications of data, including privacy, surveillance, security, classification, discrimination, decisional-autonomy, and duties to warn or act. Examines legal, policy, and ethical issues throughout the full data-science life cycle collection, storage, processing, analysis, and use with case studies from criminal justice, national security, health, marketing, politics, education, employment, athletics, and development. Includes legal and policy constraints and considerations for specific domains and data-types, collection methods, and institutions; technical, legal, and market approaches to mitigating and managing concerns; and the strengths and benefits of competing and complementary approaches.

Prerequisites

Data Science W201 & W203. MIDS students only.

Course History

Spring 2018

Instructor(s): Staff
Instructor(s): Staff

Fall 2017

Instructor(s): Nathaniel Good
Instructor(s): Nathaniel Good

Summer 2017

Instructor(s): Nathaniel Good
Instructor(s): Nathaniel Good

Spring 2017

Instructor(s): Staff
Instructor(s): Staff

Fall 2016

Instructor(s): Nathaniel Good

Summer 2016

Instructor(s): Nathaniel Good

Spring 2016

Instructor(s): Nathaniel Good

Fall 2015

Instructor(s): Nathaniel Good
Instructor(s): Nathaniel Good

Summer 2015

Instructor(s): Anna Lauren Hoffmann
Instructor(s): Anna Lauren Hoffmann

Project Gallery

Last updated:

October 7, 2016