Jim Bildner is an Adjunct Lecturer in Public Policy at Harvard Kennedy School and a Senior Research Fellow at the Hauser Institute for Civil Society and the Center for Public Leadership at Harvard University. At the Kennedy School, his research interests include understanding the role of private capital in solving public problems, extending the capacity of foundations to solve complex societal issues and the sustainability of public and private systems when governments disinvest in these systems. His course load includes co- teaching Public Problem Solving and Philanthropy. In addition, he serves as the CEO of the Draper Richards Kaplan Foundation where he focuses on investing in domestic nonprofits and social enterprises that are working to solve complex issues including systemic poverty, food insecurity, access to healthcare, homelessness, community development and second generation strategies to address these issues. In his board service, Mr. Bildner serves on the Investment Committees of boards with aggregate endowments in excess of $4B as well as a member of numerous finance, investment and/or audit committees of these boards.

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.