Spring 2027 Political Science & Applied Mathematics UN3707 section 001

Persuasion at Scale: Data, Causality, AI

Persuasion at Scale

Call Number 14357
Day, Time & Location View Class Schedule & Location in Vergil
Points 3
Grading Mode Standard
Approvals Required None
Instructor chris wiggins - e-mail, homepage
Type LECTURE
Method of Instruction In-Person
Course Description

Online persuasion, measurement of persuasive effects through experiments and natural experiments, machine learning for message targeting and optimization, bandit algorithms, recommender systems, and experiments on large language model persuasion. In Python notebooks with no prerequisites. Political Science undergraduate research methods requirement; Statistics applied minor and applied tracks. Cross-listed with Applied Mathematics

Department Political Science
Enrollment 0 students (70 max) as of 9:06AM Friday, October 30, 2026
Subject Political Science & Applied Mathematics
Number UN3707
Section 001
Division Interfaculty
Section key 20271PSAM3707W001