Operations, Information & Technology

In the Operations, Information, and Technology field we use mathematical models to improve technological systems.

We develop new methods, improve the use of emerging technologies, study a wide variety of systems, and impact practice, using tools from operations research, game theory, econometrics, computer science, probability and statistics.

Our faculty research interests include health care systems, product design and manufacturing processes, supply networks, information systems, energy and environmental systems, homeland security systems, financial systems, social networks, and online markets. Our faculty-student ratio is approximately one-to-one allowing for personalized attention to students.

Preparation and Qualifications

The program is intended for students with strong training in relevant mathematical methods and models who are interested in academic careers. Students who enroll in this program must have strong preparation in advanced calculus, linear algebra, or probability. Competence in optimization, programming, real analysis, and statistics is also helpful. Recent admits have majored in Computer Science, Economics, Electrical Engineering, Industrial Engineering, Mathematics, Physics, and Statistics.

Faculty in Operations, Information & Technology

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Recent Publications in Operations, Information & Technology

Publication Search

GDP-B: Accounting for the Value of New and Free Goods

Erik Brynjolfsson, Avinash Collis, W. Erwin Diewert, Felix Eggers, Kevin J. Fox
American Economic Journal: Macroeconomics October2025 Vol. 17 Issue 4

Treatment Effects in Market Equilibrium

Evan Munro, Kuang Xu, Stefan Wager
American Economic Review October2025 Vol. 115 Issue 10

Optimal Estimation When Researcher and Social Preferences Are Misaligned

Jann Spiess
Econometrica September2025 Vol. 93 Issue 5

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