Emmanuel Comte is a research fellow in international history at the Vienna School of International Studies. He specialises in contemporary European history, with a focus on the history of European Integration and the history of migration in post-war Europe. A graduate of the École Normale Supérieure in Paris, he holds a Ph.D. in history from Sorbonne University. His Ph.D. dissertation received the €2,000 Ph.D. dissertation prize from the French Ministry of Social Affairs. He previously held academic positions at the European University Institute in Florence and the University of California, Berkeley. He publishes scholarly outputs in English and in French. He works with documents in seven languages, including French, English, Italian, German, Spanish, and, for simple documents, Greek and Dutch.

He studies recent European history to find out when immigration generates disputes and when, by contrast, liberal migration arrangements can occur. He is also interested in better describing the nature of European Integration. For this purpose, he investigates in particular the role of Germany.

Emmanuel's recent book, The History of the European Migration Regime: Germany's Strategic Hegemony (Routledge, 2018), explores the origins of the international migration regime that has prevailed within the European Union since the 1990s. With the free movement of people, European citizenship, and the Schengen agreements, the European migration regime has been in the global governance of migration a peculiar case, characterised by a high degree of internal openness. On the basis of detailed archival enquiry, this book explains the internal openness of the European migration regime through the hegemonic role played by Germany. The German economy has stabilised migration flows in Europe during most decades in the past half century. By doing so, it has served to secure the rules of internal free movement within the Union, championed by the German government since the 1950s to promote its regional interests.

Emmanuel has investigated more specific issues in scientific articles and academic book chapters:

ORCID iD iconorcid.org/0000-0002-1341-9615 web analytics