Dr. Jonathan Hersh
- Education:
- University of Chicago, Bachelor of Arts
University of Pennsylvania Wharton School of Business, Master of Science
Boston University, Ph.D.
Biography
Jonathan Hersh is an assistant professor of economics and management science at the Argyros School of Business at Chapman University. His research interests include the economics of information systems, digital transformation of businesses, technology in developing economies, and the application of predictive models on business and management processes. He frequently consults with businesses and international organizations on how to build predictive models to augment data-driven decision making. His work often focuses on using machine learning to fill “data gaps” to help inform management processes, some of which include using AI applied to satellite imagery.
Professor Hersh teaches courses in machine learning and data science for managers to undergraduates and MBAs. His classes focus on creative applications of AI and machine learning, in addition to hard coding and technical skills. Previously he was a lecturer at MIT and Wellesley College. He is a graduate of the University of Chicago, University of Pennsylvania and Boston University.
Recent Creative, Scholarly Work and Publications
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Jonathan Hersh, Bree Lang, & Matthew Lang. (2022) Car accidents, smartphone adoption and 3G coverage. Journal of Economic Behavior & Organization, 196, 278-293.
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Jonathan Hersh and Joachim Voth. (2022) Sweet Diversity: Overseas Trade and Gains from Variety after 1492. Explorations in Economic History, 101468.
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Shima Nabiee, Matthew Harding, Jonathan Hersh, and Nader Bagherzadeh. (2022) Hybrid UNet: Semantic segmentation of high-resolution satellite images to detect war destruction. Machine Learning with Applications, 9, 100381.
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Seth Benzell, Jonathan Hersh, & Marshall Van Alstyne. (2022). How APIs Create Growth by Inverting the Firm, Conditionally accepted, Management Science
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Selina Carter & Jonathan Hersh. (2022). Explainable AI Helps Bridge the AI Skills Gap: Evidence from a Large Bank, Submitted
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Hannes Mueller, Andre Groger, Jonathan Hersh, Andrea Matranga, & Joan Serrat. (2021). Analyzing Conflict From Space: Identification of Physical Destruction During the Syrian Civil War with Artificial Intelligence. Proceedings of the National Academy of Sciences, June 8, 2021 118 (23) e2025400118; https://doi.org/10.1073/pnas.2025400118
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Jonathan Hersh, Ryan Engstrom, & Michael Mann, (2020). Open data for algorithms: mapping poverty in Belize using open satellite derived features and machine learning. Information Technology for Development, Vol 27, Issue 2, pages 263-292.
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Ryan Engstrom, Jonathan Hersh, & David Newhouse. (2021). Poverty from Space: Using High Resolution Satellite Imagery for Estimating Economic Well-being, The World Bank Economic Review; lhab015, https://doi.org/10.1093/wber/lhab015
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Brett Danaher, Jonathan Hersh, Michael D. Smith, & Rahul Telang. (2020). The Effect of Piracy Website Blocking on Consumer Behavior. MIS Quarterly. doi:10.25300/MISQ/2020/15791
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Brett Danaher and Jonathan Hersh. (2020). Whom Should Anti-Piracy Enforcement Actions Target? Evidence from the MegafilmesHD Shutdown in Brazil. Under review
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Matthew Harding & Jonathan Hersh. (2018). Big Data in Economics. IZA World of Labor
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Boris Babenko, Jonathan Hersh, David Newhouse, Anusha Ramakrishnan, & Thomas Swartz. (2017). Poverty Mapping Using Convolutional Neural Networks Trained on High and Medium Resolution Satellite Images, With an Application in Mexico. Presented at Neural Information Processing Systems 2017 Workshop on Machine Learning for the Developing World. arXiv preprint arXiv:1711.06323.