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NB: this is a repeat of the session held on 14 May 2024 What: This workshop, designed for beginners, is a ‘taster’ session which aims to demystify the practical process of transcription and markup of archival sources, and the role of these tools in undertaking digitally-informed archival research. The workshop will introduce the practical and...
The White Rose Universities of Leeds, Sheffield and York are holding a training day in collaboration with Gale to explore the sources and tools available in the Gale Primary Sources database and the Gale Digital Scholar Lab. This free event will be held at the University of Leeds on Thursday 13 June 2024. In-person attendance...
During this session Chris Houghton, Head of Academic partnerships at Gale, will introduce Gale Digital Scholar Lab. Suitable for all levels of experience, learn how the Lab can enhance research and teaching for anyone working on textual data in the humanities or social sciences. We will cover the basic Lab workflow, including: Creating content sets for...
During this session Chris Houghton, Head of Academic partnerships at Gale, will introduce Gale Digital Scholar Lab. Suitable for all levels of experience, learn how the Lab can enhance research and teaching for anyone working on textual data in the humanities or social sciences. We will cover the basic Lab workflow, including: Creating content sets for...
What: This LAHRI/DCCH Digital Humanities workshop, designed for beginners, is a ‘taster’ session which aims to demystify the practical process of transcription and markup of archival sources, and the role of these tools in undertaking digitally-informed archival research. The workshop will introduce the practical and conceptual principles of transforming archival material into computer-readable text. The...
A free programme for people working in extended reality (XR) and virtual production (VP) technologies at UK universities.
Do you use R to analyse language data? Do you have complex datasets that require statistical analysis? Bayesian linear models have been increasingly adopted by researchers in speech and language sciences to deal with complex datasets that involve repeated measures from participants and items.