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.

Skill Sets

Ethical and legal frameworks / Policy analysis / Oral and written presentation

Current Course Designers

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Headshot of Professor Deirdre K. Mulligan
Deirdre Mulligan
Professor
303B South Hall

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Morgan G. Ames
Morgan Ames
Assistant Professor of Practice Alumni (MIMS 2006)
305B South Hall

Original Course Designer

Profile profile for dkm

Headshot of Professor Deirdre K. Mulligan
Deirdre Mulligan
Professor
303B South Hall

Prerequisites

MIDS & MPA students only.

Video

datascience@berkeley | Behind the Data: Humans and Values

datascience@berkeley | Behind the Data: Humans and Values

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Course Spotlight

MIDS Course Spotlight: Data Science W231 (June 30, 2021)

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Last updated:

February 23, 2022