On 17 September, the Centre for Digital Humanities will host the webinar: 'On data and care in migration contexts'. In the context of the emerging interdisciplinary field of digital migration studies,...

In this one-day course, intended for researchers and teachers in the humanities, you will learn the basics of statistical data analysis.

In this presentation Mirko Schaefer and Mel Chekol speak about their inquiry into forms of bias in Wikipedia’s main knowledge repository Wikidata. Using descriptive statistics they identified skewed data which are caused by different forms of bias.

In this presentation, Dirk van Miert and Liliana Melgar demonstrate, with practical examples and hands-on activities, how to search simultaneously in a large number of digitized texts (captured from Google Books and other online sources).

Registration form R is a powerful scripting language for data handling, data visualisation, and statistics. This workshop specifically targets researchers working within the Humanities, focusing on the analysis of textual...

Dr. Berit Janssen and Jelte van Boheemen (developers Digital Humanities Lab) will offer an I-Analyzer workshop on 8 November 2021 at 1.00 PM. Participants are given an overview of how text corpora are processed in order to be used in I-Analyzer, and how to search, filter and visualize results. 

This entry level course in Python for teachers and researchers of GW consists of two hands-on training days. The course will be provided by scientific developers of the Digital Humanities Lab.

During this hands-on session on automatic speech recognition on radio, dr. Alexander Badenoch (MCW) will cover a case study of the Eurovision Song Contest.

As a researcher, you will find that many of your sources come in forms and formats which are unfit for your analyses. OpenRefine (previously Google Refine) is a free, open...