Spring 2026 Data Science for Policy IA7175 section 001

Artificial Intelligence Institutions

AI Institutions

Call Number 10286
Points 3
Grading Mode Standard
Approvals Required None
Instructor Daniel C Bjorkegren
Type SEMINAR
Method of Instruction In-Person
Course Description

Pre-requisites: Microeconomics. Students would benefit from previous coding experience, but software development is not a strict requirement. Our institutions were developed in a context with different technologies: where travel and communication were slow and expensive, and thinking had to be done by humans. New technologies afford—and may require—different ways of organizing society. We will consider historical episodes of technological change and our current era, following how shifts in technology can shift the economy and society. We will first use this course itself as a laboratory to explore the impacts of AI on education. We will then consider how AI may reshape other sectors, including governance, transportation, and defense; and the cross-cutting questions it raises about values, economic wellbeing, and purpose.

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students (25 max) as of 5:05PM Sunday, August 10, 2025
Subject Data Science for Policy
Number IA7175
Section 001
Division School of International and Public Affairs
Open To SIPA
Section key 20261DSPC7175U001