Ramon is an urban designer, civil engineer, and city scientist from Barcelona, working on the urban innovation space. Ramon’s research at Harvard focuses on developing AI and machine learning models to support the criteria of civil engineering, architecture and urban design helping to trigger the latent economic forces of society, allowing the generation of distributed prosperity. Along with Jeremy Burke, co-founder of Aretian, Ramon Gras published the first Atlas of Innovation Districts in 2019. Ramon is a graduate of the inaugural cohort of Harvard’s newest design engineering program. At Harvard, Ramon developed an urban design plan for the redevelopment of the port of Tallinn, Estonia, as well as urban studies for the Boston Seaport Innovation District. Prior to developing his joint thesis with Jeremy Burke at Harvard, Ramon worked at Ferrovial’s London innovation office, where he led cutting edge design projects. Ramon’s Master thesis at MIT addressed the problem of consolidation in air freight transport by designing an advanced Business Intelligence platform. Ramon’s early research at BarcelonaTech focused on bridge design, high performance materials and nanotechnology applications for structural engineering.

Featured programmes and seminars

  • Harvard Course in Law and Economics

    Start date: 02/10/2023

    The aim of this programme is to provide an up-to-date overview of some of the relevant issues in the field of economic analysis of law.

  • Online course Competition in markets

    Start date: Open

    Introduction to the essential elements shaping competition policy and discussion of the principles and instruments of competition policy.

  • Online course Liberalism, a philosophy in danger

    Start date: Open

    Why are so many obstacles confronting liberalism, so implacable the enemies it has to contend with, and so soft the allies it can hardly count on?

  • Ethics of Artificial Intelligence. Carissa Veliz

    Start date: Coming soon

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.