Professor Yang works on topics in the creator economy. The problems he is currently focusing on are 1) aiding the creative process and identifying creative trends in a data-driven way, 2) the causes and consequences of the concentration and mobility of influence among creators across platforms, 3) improving creator and brand collaboration through more effective matching and monitoring, 4) creators as founders and monetization schemes in web2/3, and 5) platform competition.
Jeremy Yang
Assistant Professor of Business Administration
Assistant Professor of Business Administration
Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products to improve advertising, targeting, and pricing decisions in his research. These algorithms are typically guided by some economic or behavioral principles and implemented with techniques in machine learning and causal inference. He is also broadly interested in the creator economy and web3.
His work has received several recognitions including an INFORMS Annual Meeting Best Paper Award, American Statistical Association Dissertation Proposal Award, and MSI Alden G. Clayton Dissertation Proposal Award. He received his Ph.D. from the Massachusetts Institute of Technology and is also affiliated with the MIT Initiative on the Digital Economy, the Harvard Data Science Initiative, and the Institute for Quantitative Social Science.
His work has received several recognitions including an INFORMS Annual Meeting Best Paper Award, American Statistical Association Dissertation Proposal Award, and MSI Alden G. Clayton Dissertation Proposal Award. He received his Ph.D. from the Massachusetts Institute of Technology and is also affiliated with the MIT Initiative on the Digital Economy, the Harvard Data Science Initiative, and the Institute for Quantitative Social Science.
Jeremy Yang is an Assistant Professor of Business Administration in the Marketing Unit at Harvard Business School. He teaches Marketing in the MBA required curriculum. He develops data products to improve advertising, targeting, and pricing decisions in his research. These algorithms are typically guided by some economic or behavioral principles and implemented with techniques in machine learning and causal inference. He is also broadly interested in the creator economy and web3.
His work has received several recognitions including an INFORMS Annual Meeting Best Paper Award, American Statistical Association Dissertation Proposal Award, and MSI Alden G. Clayton Dissertation Proposal Award. He received his Ph.D. from the Massachusetts Institute of Technology and is also affiliated with the MIT Initiative on the Digital Economy, the Harvard Data Science Initiative, and the Institute for Quantitative Social Science.
His work has received several recognitions including an INFORMS Annual Meeting Best Paper Award, American Statistical Association Dissertation Proposal Award, and MSI Alden G. Clayton Dissertation Proposal Award. He received his Ph.D. from the Massachusetts Institute of Technology and is also affiliated with the MIT Initiative on the Digital Economy, the Harvard Data Science Initiative, and the Institute for Quantitative Social Science.
- Working Papers
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- Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020. View Details
- Yang, Jeremy, Juanjuan Zhang, and Yuhan Zhang. "First Law of Motion: Influencer Video Advertising on TikTok." Working Paper, March 2021. View Details
- Research Summary
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- Additional Information
- Areas of Interest
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- analytics
- digital economy
- experimentation
- machine learning
- marketing
- big data
- creativity
- customer relationship management
- decision-making
- electronic commerce
- entrepreneurship
- incentives
- motivation
- networks
- pricing
- advertising
- consumer products
- entertainment
- information
- media
Additional TopicsIndustries - In The News
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