Thought Leadership
The Metropoulos Institute serves as a hub for forward-thinking research, critical inquiry, and real-world insight at the intersection of technology and entrepreneurship.
Through our thought leadership initiatives, we amplify the voices of Babson’s faculty, students, and global partners—exploring how emerging technologies like AI are transforming industries, organizations, and the very nature of entrepreneurial leadership.
From peer-reviewed research to expert commentary and global recognition, this is where Babson ideas move from campus to conversation.
Publications & Insights
Our publications and insights feature original research, white papers, case studies, and applied frameworks authored by Metropoulos Institute faculty, fellows, and collaborators. Topics span AI implementation, tech commercialization, ethical innovation, and the evolving landscape of entrepreneurship in the digital age.
Recent Academic Publications
Trond Undheim
Undheim, T.A. (2024) “An interdisciplinary review of systemic risk factors leading up to existential risks“, Progress in Disaster Science, doi: 10.1016/j.pdisas.2024.100326
Undheim, T.A., Ahmad, T. (2024) “Quantitative Scenarios for Cascading Risks in AI, Climate, Synthetic bio, and Financial Markets by 2075”, Frontiers in Complex Systems, 2:1323321. doi: 10.3389/fcpxs.2024.132332
Undheim, T.A. (2024) “The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks”, Frontiers in Bioengineering and Biotechnology, 12:1359768. doi: 10.3389/fbioe.2024.1359768
Undheim, T.A. (2024) “Dyadic risk mechanisms–a nomenclature for 36 proto-cascading effects determining humanity’s future”, European Journal of Futures Research, 12:7. doi: 10.1186/s40309-024-00228-2
Undheim, T.A. (2024) “In Search of Better Methods for The Longitudinal Assessment of Tech-derived X-risks: How Five Leading Scenario Planning Efforts Can Help”, Technology in Society, Volume 77, June 2024, 102505. doi: 10.1016/j.techsoc.2024.102505
Tom Davenport
Davenport, T.H., Redman, T. (2025). “How to Marry Process Management and AI”. Harvard Business Review (Print Edition).
Davenport, T.H., High, P. (2024). “How GenAI and Analytical AI Differ—and When to Use Each”. Harvard Business Review (Digital Edition).
Davenport, T.H., Alavi, M. (2023). “How to Train Generative AI Using Your Company’s Data”. Harvard Business Review (Digital Edition).
Davenport, T.H., Mittal, N. (2023). “Stop Tinkering with AI”. Harvard Business Review (Print Edition).
Grewal, D., Satornino, C.B., Davenport, T. et al. (2024). “How generative AI Is shaping the future of marketing”. J. of the Acad. Mark. Sci.
Recent Press
The work of our community is regularly featured in national and international media outlets—from thought pieces to interviews and articles—showcasing how Babson is helping lead the global conversation on AI, entrepreneurship, and innovation.
