MIT Sloan’s new courses focus on AI, analytics, climate
MIT Sloan students have the opportunity to study generative AI management, analytics for digital platforms, and global energy economies in 2024 – 2025.
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.
Filippas, Apostolos, John J. Horton, and Joseph Golden. Market Science. Forthcoming. SSRN 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.
Filippas, Apostolos, John J. Horton, and Richard Zeckhauser. Management Science Vol. 66, No. 9 (2020): 4152-4172. Replication. Download Paper.
Barach, Moshe, Joseph Golden, and John Joseph Horton. Management Science Vol. 66, No. 9 (2020): 4047-4070. Download Paper.
Brynjolfsson, Erik, John Horton, Adam Ozimek, Daniel Rock, Garima Sharma, and Hong Yi Tu Ye, MIT Sloan Working Paper 6088-20. Cambridge, MA: MIT Sloan School of Management, April 2020.
Horton, John J. Management Science Vol. 65, No. 8 (2019): 3518-3540. SSRN Paper.
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.
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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.