August 16-29, 2025
Stanford University
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Course Description
Some claim that advanced AI will greatly:
This course covers a selection of tools in (mainly) economic theory relevant to evaluating the first two claims—and deciding what to do if some or all of them seem likely.
The course is designed primarily for graduate students in economics. Other students who might benefit from the content are also encouraged to apply, including undergraduates demonstrating exceptional academic achievement and computer science students.
Applying
The course will be free of charge.
The application deadline has passed.
Course Overview
In this course, we explore the interplay between artificial intelligence and economic growth through the lens of foundational and emerging models.
View a more detailed overview, including the syllabus.
Lecture Structure
Most of the lectures will be given by Phil Trammell, a postdoc in economics at DEL (Stanford). Some lectures will be given by Zach Mazlish, a doctoral student in economics at Oxford, while others will be conducted by guest lecturers, including Chad Jones, professor of economics at Stanford GSB.
Each day will consist of a morning lecture and an afternoon lecture, except the opening Saturday, which will only have an afternoon lecture. Each lecture will feature two 45-minute halves separated by a 15-minute break. Lectures will be recorded and immediately made available for the benefit of attendees, and may be made public afterward.
Questions? Please contact us.