Manuel Hoffmann
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.
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 Distributed Work: Evidence from Open Source Software - NBER (w/ Sam Boysel, Frank Nagle, Sida Peng, and Kevin Xu)
Labor Competition and Open Innovation - Wharton (w/ Sam Boysel and Frank Nagle)
The Value of Open Source Software - HBS (w/ Frank Nagle and Yanuo Zhou) - Under Review
Analog Technology, Firm Campaigns, Preferences
Vaccines at Work: Experimental Evidence from a Firm Campaign - IZA (w/ Adrian Chadi and Roberto Mosquera) - R&R at Management Science
Television, Health, and Happiness - NBER (w/ Adrian Chadi) - Under Review
Fairness Preferences Revisited (w/ Yinjunjie Zhang, Raisa Sara, and Catherine Eckel) - JEBO Special Issue on Replication
HBS Case Study
AGENTS.inc: Pathways to Growth at an AI Startup
Media
Advisor Perspectives, Axios, Bloomberg, Business-Insider, HBS Working Knowledge, Heise, Medium, The Stack, Tidelift, Wikipedia, World Bank, Yahoo