A virtual research environment to create and annotate your own virtual collection of printed materials of early modern European popular culture and assess collections made by peers.

26 January 2022 @ 13:00 – 17:00 – In this hands-on workshop Liliana Melgar (GKG) covers the basic level of automated searching. The training is addressed to humanities researchers or teachers who have little or no experience with …

07 December 2021 @ 14:00 – 15:00 – More and more institutions and researchers are discovering the possibilities of Linked Data for their dataset or (digital) heritage collection. But what exactly is Linked (Open) Data and more importantly, …

The Utrecht Digital Humanities Lab will collaborate with the University of Jyväskylä (Finland) on the political-historical research project ‘People and Parliament’. This collaboration between software developers and historians enables groundbreaking research into parliamentary data. ‘People and Parliament’ is an ambitious project. The research focuses on the use of political language in the national parliaments of…

26 November 2021 @ 15:00 – 16:30 – 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.

17 June 2021 @ 09:00 – 16:00 – In this course you will learn the basics of network analysis: you will learn to perform such analyses using Gephi, to interpret network statistics and to create insightful network visualisations. …

03 May 2021 @ 15:30 – 17:30 – As part of the Digital Methods reading group we welcome Sal Hagen and Emillie de Keulenaar of Open Intelligence Lab (“data is the new oil making sense of new political …

17 September 2021 @ 15:00 – 16:00 – 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, …

22 April 2021 @ 15:00 – 16:00 – Digital Humanities Lab Lecture series on Text Mining (2/5) organised by the focus area Applied Data Science.

The project created a workbench that can be used for computationally analyzing large datasets of visual material. It is designed to cater to the needs of researchers in a range of studies who work with digitized visual material.

This tool helps teams to shape their digital cooperation in a meaningful way during and after the COVID-19 pandemic.