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The Urban Innovation Research group at Harvard SEAS addresses a major societal challenge in Developed Countries: how to envision economic eco-systems which unleash both the individual and communitarian potential, enabling the creation of high quality, stable employment within urban areas, thus providing a societal response to foreseen mass job destruction due to the emergence of automation, AI, and robotics.
The Urban Innovation study group will share their research on how Complexity Science and Network Theory-driven Machine Learning mathematical models can be deployed to support Urban Design criteria, by liberating the potential non-linear benefits of strategic aggregation of talent and knowledge-intensive activities in Innovation Campuses, operating in synergy with high value-added export hubs within metropolitan areas.
The presentation, with Students and Faculty, will be followed by a post-event discussion, of ongoing research developed by Urban Innovationscholars Ramon Gras and Jeremy Burke at Harvard SEAS.
Speakers: Ramon Gras, Urban Innovation Researcher at the Harvard School of Engineering and Applied Sciences; Jeremy Burke, Urban Innovation Researcher at the Harvard School of Engineering and Applied Sciences.
Sponsors: RCC, Harvard John A. Paulson School of Engineering and Applied Sciences.