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I am a postdoctoral scholar at the Laboratory for Innovation Science at Harvard housed within the Digital, Data, and Design institute at Harvard Business School. I am also affiliated with Stanford University and an incoming assistant professor at the University of California, Irvine.
My research interests lie in social and behavioral aspects around open source software and artificial intelligence, under the broader theme of innovation and technology management, with the aim of better understanding strategic aspects for large, medium-sized, and entrepreneurial firms.
Contact: mhoffmann@hbs.edu
Open Source Software, Artificial Intelligence, and Digital Technology
Generative AI and the Nature of Work - HBS Version, NBER Version (w/ Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu) - Under Review
The Value of Open Source Software - HBS (w/ Frank Nagle and Yanuo Zhou) - Under Review
Labor Competition and Open Innovation - Wharton (w/ Sam Boysel and Frank Nagle)
Analog Technology, Firm Campaigns, Preferences
Vaccines at Work: Experimental Evidence from a Firm Campaign - IZA (w/ Adrian Chadi and Roberto Mosquera) - Forthcoming at Management Science
Television, Health, and Happiness - NBER (w/ Adrian Chadi) - R&R at Journal of Public Economics
Fairness Preferences Revisited (w/ Yinjunjie Zhang, Raisa Sara, and Catherine Eckel) - JEBO Special Issue on Replication
Media
Advisor Perspectives, Axios, Bloomberg, Business-Insider, Charterworks, D^3, Evoknow, GitHub, Forbes, HBS Working Knowledge 1, HBS Working Knowledge 2 , Heise, Joomla, Kitware, Matt Hartmann Podcast, Marginal Revolution, Medium, Sysdig, The Stack, The Software Report, Tidelift, Towards Data Science, Open Logistics Foundation, Wikipedia, World Bank, Yahoo, Youtube
HBS Case Study. AGENTS.inc: Pathways to Growth at an AI Startup
Mozilla Statement on Open Source AI. One of the Initial Signers
Stanford Survey. Informed Population Health Opinions (Expert panel with AI responses)
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