Information Theory: Elements & Applications to Social Research

New School for Social Research: Economics

Liberal Arts
Graduate Course
Degree Students (with Restrictions)
Information Theory
Spring 2024
Taught By: Paulo dos Santos
Section: A

CRN: 14615

Credits: 3

"This course introduces the fundamental concepts and tools of information theory and discusses their salient applications to analysis of social and economic systems. This goal is pursued in three parts. Students will first be introduced to the core problems, concepts, and formalisms that have defined the development of information theory. This includes debates on the meaning of probability, the analytical challenges posed by complex socioeconomic systems, and the historical development of the concept of “entropy,” from Ludwig Boltzmann and Willard Gibbs to Claude Shannon. Following this introductory discussion, the course turns to the formal development of entropic measures, their canonical applications to physical and communication systems, and their more recent multivariate generalisations. This sets the stage for discussion on three broad areas where information-theoretic tools have been used in socioeconomic research: Statistical-equilibrium models of economic systems, statistical inference, and the measurement of inequalities in social and economic outcomes. This course is technically demanding—prior to taking it, you must have taken at least one course in multivariate calculus, and taken at least one full course in econometrics or an equivalent course in statistics. But it will also fundamentally challenge the way you think about analysis of complex social and economic systems. "

College: New School for Social Research (GF)

Department: Economics (ECO)

Campus: New York City (GV)

Course Format: Lecture (L)

Modality: In-Person

Max Enrollment: 15

Add/Drop Deadline: February 4, 2024 (Sunday)

Online Withdrawal Deadline: April 16, 2024 (Tuesday)

Seats Available: Yes

Status: Closed*

* Status information is updated every few minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 12:06pm EDT 5/26/2024

Meeting Info:
Days: Tuesday
Times: 9:55am - 11:45am
Building: Academic Entrance 63 Fifth Ave
Room: L105
Date Range: 1/23/2024 - 5/7/2024