AI & Advanced Computing
Daniel Rock
Assistant Professor, AI2050 Early Career Fellow

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Year
2023
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Program
AI2050
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Institution
University of Pennsylvania
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Field of Study
Economics
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Location
USA
Daniel Rock is an Assistant Professor of Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. His research is on the economic effects of digital technologies, with a particular emphasis on the economics of artificial intelligence and the incorporation of machine learning techniques into economic research. He has recently worked on studies addressing the types of occupations that are most exposed to machine learning, measuring the value of AI skillsets to employer firms, and adjusting productivity measurement to include investments in intangible assets.
His research has been published in various academic journals and featured in outlets such as The New York Times, Wall Street Journal, Bloomberg, Harvard Business Review, and Sloan Management Review. Daniel received his B.S. from the Wharton School of the University of Pennsylvania, and his M.S. and Ph.D. from the Massachusetts Institute of Technology. He is also a Fellow at the Stanford Digital Economy Lab and the MIT Initiative on the Digital Economy.