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

Github, LinkedIn, Twitter, Google Scholar

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) - 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


Media

Advisor Perspectives, Axios, Bloomberg, Business-Insider, Charterworks, D^3, GitHub, HBS Working Knowledge, Heise, Marginal Revolution, Medium, The Stack, Tidelift, 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)