Data

Science and technology are at the very heart of the European project. But how to write a history of Europe in the making when using technology as an actor category and lens of analysis? This is the driving narrative behind Making Europe: Technology and Transformations (1850-2000) – a sixvolume series on the history of Europe in the «long twentieth century»1. All volumes in the series are co-authored by two or three authors and are the result of an intense debate and discussion amongst all people involved in this collective endeavor.

On May 18, I took part in a very interesting workshop organized by the Malach Centre for Visual History at the Faculty of Mathematics and Physics of the Charles University in Prague. This exceptional association provides local access to the extensive digital archives of the USC Shoah Foundation - the Institute for Visual history and Education (USC), the Refugee Voices archive of the Association of Jewish Refugees and the testimony collection of the Jewish Holocaust Centre in Melbourne.

The importance of smaller financial centres in international capitalism has recently been highlighted by a number of ‘leaks’. Yet such public attention stands in contrast to the paucity of historiographical research on these relatively new centres. To this regard, Luxembourg provides an interesting case study. While identified as a ‘global specialist’ by the Global Financial Centres Index, the genealogy of how it came to achieve this status remains largely under-researched.

The edited book ‘Jews or Germans?’ seeks to explore the post-war expulsion of the German minority, which did not involve only Nazi adherents and ideologists. To a certain extent, the entire process of displacement should not be apprehended solely from national or ethnic perspectives with clearly defined categories. In this sense, the project aims to problematize the established view of Jewish emigration history.

This paper discusses the added value of applying machine learning (ML) to contextually enrich digital collections. In this study, we employed ML as a method to geographically enrich historical datasets. Specifically, we used a sequence tagging tool (Riedl and Padó 2018) which implements TensorFlow to perform NER on a corpus of historical immigrant newspapers. Afterwards, the entities were extracted and geocoded. The aim was to prepare large quantities of unstructured data for a conceptual historical analysis of geographical references.

This volume analyses Belgian garrisons in the Rhineland and Westphalia after the Second World War. They are analysed as contact zones that clearly indicate the political, economic, societal and military consequences of European integration for daily coexistence. The book’s contributions focus on mechanisms and catalysts of entanglement, dissolution and coexistence in local spaces, which did not relocate transnational contacts within Europe to national borderlines, but permanently (re-) configured them in a confined space. How do transnational contacts take place?

The strategic use of the so-called new media has become more and more central to the way in which politicians, especially populist exponents, reach out to their audiences. Perhaps due to their immediate and widespread resonance, social media platforms have proven to be particularly well-suited to the way populist messages are shaped. Their impact seems to be highly effective even beyond the geographical and cultural borders of the audience the messages are originally conceived for.

Interactive web documentary realised by the students of the Bachelor Course in Contemporary History of Luxembourg (Summer Semester 2019) in collaboration with the National Museum of Military History, Diekirch.

Commercial radio stations Radio Luxembourg (French and English services) and Europe n°1 are the focal point of this work. They were popular institutions in Western Europe throughout the Long Sixties (1958-1974) working across media and broadcasting transnationally. This thesis postulates the existence of an overarching dispositif of commercial radio stations that enabled them to operate on various dimensions and differentiated them from other broadcasters. The research conducted in this thesis leans on various historical sources (i.e.

Digitally available repositories are becoming not only more and more widespread but also larger and larger. Although there are both digitally-born collections and digitised material, the digital heritage scholar is typically confronted with the latter. This immediately presents new challenges, one of the most urgent being how to find the meaningful elements that are hidden underneath such unprecedented mass of digital data. One way to respond to this challenge is to contextually enrich the digital material, for example through deep learning. Using the