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Nevertheless, a fundamental challenge remains largely open: how to digitise and make accessible the vast and scattered cultural heritage which informs both research and public experiences. In this talk we will consider these challenges through the lenses of the Venice Time Machine: a large-scale digitisation and indexation project based at the Archive of Venice, with the ambition to make accessible the evidence on the history of a single city through the application of AI technologies.
The broadening application of AI to cultural heritage is reaching a momentum currently epitomised by the timemachineproject.eu: a European Flagship proposal whose ambition is to create multiple time machines across Europe.
A case will be made for the possibility and ultimate opportunities opened by big science projects in the digital humanities, and the resulting datafication of cultural heritage.
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AI for Cultural Heritage: the Venice Time Machine and beyond
Giovanni is a Data Scientist at The Alan Turing Institute. He did his PhD in Technology Management at the Digital Humanities Laboratory of the EPFL in Lausanne, working on methods for text mining and citation analysis of scholarly publications.