Simon Friis

I'm an economic sociologist and computational social scientist studying strategy and technology. I’m currently a Postdoctoral Fellow at the Harvard Business School AI Institute and Laboratory for Innovation Science.

I study how organizations and society decide which new technologies and ideas are worth pursuing — and how those decisions shape innovation and the organization of work.

My current projects use large-scale enterprise data to examine how firms learn what generative AI is for and how AI changes occupational task boundaries, along with how organizational and public evaluations shape which innovations are accepted and funded.

I received my PhD in economic sociology from the MIT Sloan School of Management. I subsequently worked at Meta as a research scientist on the FinTech Economics team, focused on the economics of Web3 technologies. Most recently, I was a Visiting Researcher at the P&G AI Factory in Geneva, Switzerland.


Updates

August 2, 2026 Join us for our upcoming PDW at AoM on "Generative AI as a Window into Organizations: Prompts as Data, Method, and Phenomenon"!
August 2, 2026 Presenting "Lifting the Fog of War: How Organizations Map the Jagged Frontier of Generative AI" at Academy of Management.
March 6, 2026 Presenting "Greenlighting Innovative Projects" at the UCLA Anderson Price Center Winter Conference on field experiments in innovation and entrepreneurship research.
July 28, 2025 Presenting "Greenlighting Innovative Projects" at the Academy of Management Annual Meeting in Copenhagen.
May 22, 2025 Presenting "Performance vs. Principle: Mapping Resistance to AI in the U.S. Labor Market" at the Wharton AI and the Future of Work Conference.
May 9, 2025 Presenting "Performance vs. Principle: Mapping Resistance to AI in the U.S. Labor Market" at the HBS D^3 Research Symposium.
March 19, 2025 Jackie Lane and I will be co-presenting "Greenlighting Innovative Projects" at the NBER Productivity Lunch.
February 10, 2025 Presenting a poster for "Greenlighting Innovative Projects" at the Organization Science Winter Conference.
February 4, 2025 Presenting "Greenlighting innovative projects: How evaluation format shapes the perceived feasibility of novel ideas" (Jacqueline Lane, Simon Friis, Tianxi Cai, Griffin Weber, Michael Menietti, Eva Guinan) at Harvard Business School's D3 Idea-X Lab meeting.
October 23, 2024 Invited panel speaker on algorithmic bias and inequality at a private industry event.
October 15, 2024 Started a new position as Postdoctoral Fellow at the Laboratory for Innovation Science at Harvard (LISH)!
May 22, 2024 Harvard Business Review published my article with Rebecca Karp and Carolyn Fu: How Your Business Should Tap into the Creator Economy.
May 13, 2024 Presenting "Using LLMs to identify product development opportunities: Predicting latent needs from social media data" (with Rebecca Karp) at the Harvard Business School D^3 Research Day.
May 9, 2024 Presenting "Measuring moral resistance to AI in the US labor market" (joint work with James Riley) at the Workshop on AI, Cognition, and the Economy (AICE) hosted by Microsoft Research.
May 1, 2024 Presenting "Measuring moral resistance to AI in the US labor market" (joint work with James Riley) at the MIT Economic Sociology Working Group.
Sep 29, 2023 Harvard Business Review published my article with James Riley: Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI.