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The use of computational and data-driven methods is becoming increasingly common, also within the humanities. Consider searching digital archives more quickly, collecting and analyzing large amounts of data, or automatically recognizing old manuscripts.
Workshops and lectures
The Centre for Digital Humanities (CDH) announces a new small-scale educational program every six months, consisting of workshops and lectures in the field of digital humanities. This includes courses on data ethics, the Python programming language, ChatGPT, Whisper (automatic speech recognition), Transkribus (automatic handwriting recognition), collecting and analyzing (social media) data and network visualization.
We welcome all staff and students of the Faculty of Humanities. The workshops are free, almost all at entry level and require a relatively small investment of time. However, we do ask for a commitment to actually participate once you have registered, to ensure every seat is utilized effectively. In some cases you also have the option to work with your own datasets.
» Take a look at our current course offerings: Centre for Digital Humanities (uu.nl)
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Weekly Walk-in Hours
Do you have questions about programming, statistics, software programs or other topics in the field of digital humanities? Every Thursday from 2:00 PM to 3:00 PM we organize a Digital Humanities Walk-in Consultation Hour at the University Library City Centre. All staff and students are welcome to drop in with their questions, from beginner to advanced level.
Digital Humanities: what can you actually do with it?
Think computational skills are exclusive to science students? Think again! These competencies can give humanities students a significant advantage in today’s job market. More and more archives worldwide are being digitized, allowing you to access, search and analyze extensive datasets. To help with this, new and more advanced software programs are constantly being developed, such as tools that automate handwriting or speech recognition. All that data also offers the opportunity to create compelling visualizations that can strengthen your story.
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Edo Storm, an RMA History student, used computational methods for his thesis to investigate how the meaning of the term 'The West' changed from the late nineteenth century to the present. Using these methods – he used 'word embedding' – he was able to search enormous quantities of digitized newspapers. Edo won the Digital history thesis award in 2022 with his research. The year before, history student Suzanne Ros won the same award for her bachelor's thesis. She used JSTOR and Python to automatically search a large number of articles, chapters and research reports for the term 'Anthropocene'.