Leveraging an unprecedented corpus of newspaper and radio archives, "Impresso - Media Monitoring of the Past" is an interdisciplinary research project that rethinks and advances computational research on historical media across modalities, time, languages, and national borders. In this seminar, the speajers introduce the "Impresso Datalab", a novel platform for a) programmatic access to historical data and as well b) as machine learning models and annotation services. The Datalab offers access to data and models via a dedicated Python library, and facilitates various types of computational analysis based on Jupyter notebooks.

No materials or software are needed.

Bios:

Marten Düring holds a PhD in Contemporary History from the University of Mainz and is part of the C2DH’s Digital History Unit. Marten’s research focuses on contemporary history, digital history and more specifically network analysis in the historical disciplines. Within Impresso, Marten contributes to project management, coordinates interface development, digital history research, and project dissemination and contributes a historical case study on discourses surrounding nuclear power technologies in historical media.

Kaspar Beelen is a digital historian, who explores the application of machine learning to humanities research. He obtained his PhD in History at the University of Antwerp in 2013, and has since then held various research positions at the University of Toronto, University of Amsterdam and The Alan Turing Institute (London). He currently works as Technical Lead Digital Humanities at the School of Advanced Study, University of London. His research interests comprise the understanding bias in ‘big’ heritage data (specifically historical newspapers) and the application of language models to historical research.

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Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Rafia Mirza at least one week prior to the event to arrange for the accommodation.