Peter A. Hall is the Krupp Foundation Professor of European Studies in the Department of Government at Harvard University and a resident faculty member at the Minda de Gunzburg Center for European Studies. He has written widely about developments in the OECD political economies, the role of ideas and institutions in politics, methods of political science, European politics and issues of social inequality. His publications include Governing the Economy (1986), The Political Power of Economic Ideas (1989), Varieties of Capitalism (with D. Soskice, 2001), Changing France (with P. Culpepper and B. Palier, 2005), Successful Societies (2009), and Social Resilience in the Neo-Liberal Era (with M. Lamont, 2013), as well as more than a hundred articles on politics and policymaking in Europe. Hall is a Fellow of the British Academy, a member of the American Academy of Arts and Sciences and has been a visiting fellow at the Wissenschaftskolleg and Wissesschaftszentrum, Berlin, the Juan March Institute, Madrid and Sciences Po, Paris among many other institutions.

Featured programmes and seminars

  • High Capacity Campus

    Start date: 07/07/2024

    The main objective of this initiative is to develop the potential of young people between the ages of 10 and 18 who have been accredited as "high ability".

  • Workshop From Science to Society

    Start date: 22/09/2024

    The Rafael del Pino Foundation together with the Club de Científicos (Rafael del Pino Excellence Fellows) organise the FS2S: Translating today's research into tomorrow's solutions.

  • A History of the World programme. Jeremy Adelman

    Start date: 20/09/2024

    This course, aimed at young people aged between 17 and 25, invites them to learn about and delve into world history in order to understand how we are connected in the globalised world in which we live.

  • Artificial Intelligence Ethics Programme. Carissa Véliz

    Start date: 28/10/2024

    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.