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This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.

Building on an unusual interdisciplinary background that combined computer science and literature in equal measure, Frank Fischer found his place in the digital humanities. In this video, he explains how his background has enabled him to understand 'both sides' of a digital humanities project - i.e. the humanities and the technical. He discusses the distinction between formal and informal education, arguing that the more 'alternative' teaching methods used in the digital humanities (workshops, summer schools etc) are crucial in developing new skills. Finally, he discusses how research infrastructures are vital in providing this kind of hands-on training, since they synthesise the 'social' and the 'technical'.

DARIAH Director Toma Tasovac spoke to fellow DARIAHns and colleagues from prospective DARIAH countries about the role of training and education in digital research infrastructures.