Faculty
Catherine Tucker is the Sloan Distinguished Professor of Management and a Professor of Marketing at MIT Sloan. She has been the faculty director of the EMBA program and Chair of the MIT Sloan PhD Program.
Her research interests lie in how digital technology and AI allow firms to use data to improve performance, and the challenges this poses for regulation, consumer welfare, and competition. Tucker has particular expertise in advertising, digital health, platforms, intellectual property, information security, and privacy.
She has received an NSF CAREER Award for her work on digital privacy, the Erin Anderson Award for Female Marketing Scholar and Mentor, the Garfield Economic Impact Award for her work on digital health, the Paul E. Green Award for contributions to the practice of Marketing Research, twice received the William F. O'Dell Award for most significant, long-term contribution to Marketing, the INFORMS Society for Marketing Science Long-Term Impact Award, and the Donald Morrison Award for Long Term Impact.
She is a cofounder of the MIT Cryptoeconomics Lab, reflecting her long-running interest in data integrity. She has been a Visiting Fellow at All Souls College, Oxford. She has testified to Congress regarding her work on digital privacy and AI, and presented her research to the OECD, FTC, FCC, World Bank, IMF, and the ECJ.
Tucker is senior editor at Marketing Science. She has been coeditor at Quantitative Marketing and Economics and associate editor at Management Science, Marketing Science, and the Journal of Marketing Research. She is Director of the program on Digital Economics and Artificial Intelligence at the National Bureau of Economic Research.
She teaches MIT Sloan's course on Pricing and the EMBA course "Marketing Management for the Senior Executive." She has received the Jamieson Prize for Excellence in Teaching and was voted "Teacher of the Year" at MIT Sloan.
She holds a PhD in economics from Stanford University and a BA from the University of Oxford.
Tucker, Catherine. In Fair by Design, edited by Alex Teyteboym and Scott Kominers. Forthcoming.
Cecere, Grazia, Fabrice Le Guel, Vincent Lefrere, Catherine E. Tucker, and Pai-Ling Yin. Academy of Management Perspectives. Forthcoming. SSRN Preprint.
Athey, Susan, Christian Catalini, and Catherine Tucker. MIS Quarterly. Forthcoming.
Caliandro, Cecilia, Emmanuel Frot, Devin Reilly, and Catherine E. Tucker. In Cambridge Handbook on Digital Platforms. Forthcoming.
Caro, Felipe, Jean-Edouard Colliard, Elena Katok, Axel Ockenfels, Nicolas Stier-Moses, Catherine Tucker, and D. J. Wu. Management Sciences Vol. 72, No. 1 (2026): 1-13.
Agrawal, Ajay, Joshua Gans, Avi Goldfarb, and Catherine E. Tucker (Eds.). Chicago, IL: University of Chicago Press, 2026.
Simplified messaging helps civic leaders and business managers boost recycling rates without spending more money, says MIT Sloan School of Management professor Catherine Tucker.
As AI systems shape more decisions, some individuals and businesses are left out entirely. New research highlights how data gaps create hidden risks for organizations.
Research by professor Catherine Tucker and co-author found that generative AI has real value in weight management. The survey was divided into a control group and an AI intervention group. The results showed that the subjects who used generative AI to obtain real-time and personalized diet suggestions had significantly greater decreases in weight and BMI compared to the control group that did not use AI.
A study by professor Catherine Tucker and co-author found that job advertisements in STEM (Science, Technology, Engineering and Mathematics) were shown more frequently to men than women, even when advertisers aimed for equal exposure. The advertisement was shown in 191 countries to men and women over the age of 18.
Professor Catherine Tucker said: "AI allows content or format to actually, potentially, really resonate for the person who's seeing the ad."
Professor Catherine Tucker wrote: "AI systems can fail not only because they make biased predictions, but also because they make no meaningful predictions at all for certain individuals or populations. That is, unfairness may arise not only because an algorithm sees individuals incorrectly, but also because it does not see them at all when it tries to make real-time predictions."
Machine learning, a branch of artificial intelligence, is the science of programming computers to improve their performance by learning from data. Dramatic progress has been made in the last decade, driving machine learning into the spotlight of conversations surrounding disruptive technology. This six-week online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to demystify machine learning for the business professional – offering you a firm, foundational understanding of the advantages, limitations, and scope of machine learning from a management perspective.
This online program draws on the work of leading MIT faculty and cryptoeconomics expert, Professor Christian Catalini, to examine blockchain technology from an economic perspective. You’ll be offered a foundational overview of how blockchain technology works, in order to demystify the technology and to understand its possibilities and limitations. Over the course of six weeks, you’ll be guided to understand blockchain technology beyond the fundamentals, and to appreciate its application and promise in the context of your own organization.
