Ezra is Associate Dean for Teaching and Learning and the Alvin J. Siteman (1948) Professor of Strategy and Entrepreneurship. He is also cofounder of MIT Sloan’s PhD Program in Economic Sociology. As Deputy Dean, he has responsibility for all of Sloan’s faculty, approximately 200 (hiring, promotion and tenure, performance evaluation, and compensation), and half a dozen research centers based in Sloan. Zuckerman is an economic sociologist whose research focuses on showing how an understanding of fundamental social processes is important for shedding light on key issues in business and management, as well as how an appreciation for the dynamics of business and management inform our understanding of fundamental social processes. He is perhaps best known for demonstrating the importance of categorical structures in shaping valuation in various markets. Zuckerman’s master’s and executive level teaching centers on competitive and technology strategy, and he teaches two doctoral courses, “Sociology of Strategy” and “Identity and Action.” Zuckerman holds a BA in political science from Columbia University as well as an MA and a PhD in sociology from the University of Chicago.

Featured programmes and seminars

  • Harvard Course in Law and Economics

    Start date: 02/10/2023

    The aim of this programme is to provide an up-to-date overview of some of the relevant issues in the field of economic analysis of law.

  • Online course Competition in markets

    Start date: Open

    Introduction to the essential elements shaping competition policy and discussion of the principles and instruments of competition policy.

  • Online course Liberalism, a philosophy in danger

    Start date: Open

    Why are so many obstacles confronting liberalism, so implacable the enemies it has to contend with, and so soft the allies it can hardly count on?

  • Ethics of Artificial Intelligence. Carissa Veliz

    Start date: Coming soon

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.