Faculty
John Horton is an Associate Professor of Information Technologies at the MIT Sloan School of Management.
Horton's research focuses on the intersection of labor economics, market design, and information systems. He is particularly interested in improving the efficiency and equity of matching markets.
After completing his PhD and prior to joining NYU Stern School of Business in 2013, he served for two years as the staff economist for oDesk, an online labor market.
Horton received a BS in mathematics from the United States Military Academy at West Point and a PhD in public policy from Harvard University.
Wiles, Emma, Zanele Munyikwa, and John J. Horton. Management Science. Forthcoming. NBER Preprint. Supplementary Materials.
Caoui, El Hadi, Chiara Farronato, John J. Horton, and Robert Schultz. Management Science. Forthcoming. NBER Preprint.
Fradkin, Andrey, Monica Bhole, and John J. Horton. Management Science. Forthcoming. Postprint.
Manning, Benjamin S., Kehang Zhu, and John J. Horton, Working Paper. April 2024. arXiv Preprint.
Brynjolfsson, Erik, John J. Horton, Christos Makridis, Alexandre Mas,Adam Ozimek, Daniel Rock, and Hong-Yi TuYe, MIT Sloan Working Paper 6937-23. Cambridge, MA: MIT Sloan School of Management, May 2023. NBER Working Paper 31193.
Horton, John J., Working Paper. January 2023. arXiv Preprint.
MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.
Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
Associate professor John Horton joined this panel of the Bipartisan Policy Center and Anthropic to explore what the public and policy makers should consider as AI becomes more ubiquitous in society.
"This paper is showing how you can use real humans to generate personas which can then be used programmatically/in-simulation."
What is top of mind for the digital economy thought leaders? That was the question posed for Thinker-Fest 2023.
Emma van Inwegen (SM '22) says: "Better writing could simply make it easier for employers to understand the skills a worker has."
An exciting collaboration between MIT's Sloan School of Management and Schwarzman College of Computing, this immersive, two-week program on campus dives deep into both the technical and business aspects of artificial intelligence, providing a comprehensive understanding of AI's impact across industries. The program will bridge the gap between AI technology and business leadership through practical, hands-on learning experiences, ensuring participants can apply AI strategies effectively in their organizations.
Learn how to lead AI initiatives strategically and effectively with MIT Sloan Executive Education's 5-day in-person course. Gain a comprehensive understanding of AI technologies and their impact on the future of work.
