Sheila Jasanoff is Pforzheimer Professor of Science and Technology Studies at the Harvard Kennedy School. A pioneer in the social sciences, she explores the role of science and technology in the law, politics, and policy of modern democracies. Her books include The Fifth Branch, Science at the Bar, Designs on Nature, The Ethics of Invention, and Can Science Make Sense of Life? She founded and directs the STS Program at Harvard; previously, she was founding chair of the STS Department at Cornell. She has held distinguished visiting appointments at leading universities in Europe, Asia, Australia, and the US. Jasanoff served on the AAAS Board of Directors and as President of the Society for Social Studies of Science. Her honors include the SSRC’s Hirschman prize, the Humboldt Foundation’s Reimar-Lüst award, and a Guggenheim Fellowship. She is an elected member of the American Academy of Arts and Sciences and the American Philosophical Society, foreign member of the British Academy and the Royal Danish Academy, and member of the Council on Foreign Relations. She holds AB, JD, and PhD degrees from Harvard, and honorary doctorates from the Universities of Twente and Liège

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.