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In this hands-on workshop  (GKG) covers the basic level of automated searching. This workshop is intended for a limited number of participants and offers the possibility of doing hands-on work with regular expressions, Poppler, GREP, and Python with the guidance of an experienced instructor. The training is aimed at researchers or teachers from the Faculty of Humanities of Utrecht University who have little or no experience with the command line/terminal or with Python.

During this introductory workshop,  (Utrecht Data School & CDH), will teach you the basics of web scraping and guide you through a graphical user interface named . The instructor will show you the possibilities of collecting and organizing data from online resources. 

In his recently published book , dr.  examines digital history collaborations and reflects on the positioning of digital history between the digital and the historical. Kemman has a background in Artificial Intelligence, Computer Science and History. In this lecture he will elaborate on the book and his approach to this subject. 

This short Research Data Management (RDM) training, specially developed for humanities staff, touches on all aspects of research data management: FAIR data, data collection, data documentation, data storage, data security, data selection and preservation, and data availability for reuse. The workshop will be given by , data manager for the Faculty of Humanities.

Data are becoming increasingly important in the humanities. In this one-day course, intended for researchers and teachers in the humanities, you will learn the basics of statistical data analysis. The training will be given by prof. . 

In this one-day course , assistant professor Language acquisition, processing and disorders, will give an introduction to what machine learning is, when and how it can be used and what it can do. In practicals you will train, test, and interpret machine learning models yourself on (real) datasets. 

Potential applications of text mining are everywhere: emails, sentiment analysis, authorship attribution and so on. In this lecture, PhD candidate , will discuss two text mining methods: Latent Semantic Analysis and Correspondence Analysis. She will use these two methods to explore who wrote the Wilhelmus. 

In this online lecture (CDH affiliated member) and guest speaker (Oxford University) explore some of the computer vision tools that help early modern scholars to systematically analyse images in collections of pre-modern prints and illustrated books (engravings, etchings, woodcuts). 

In this workshop, , junior researcher at , will introduce you to network analysis and visualization using . After this hands-on session, you will be able to conduct a network research on a large dataset. 

By digitally positioning a scan of an old map over a modern reference map, it becomes more geographically accessible and (re)usable. During this University Library showcase, Special Collections curator Marco van Egmond will show a number of beautiful applications and possibilities of georeferencing using practical example. 

Due to the great interest we are repeating this training. This entry level course in Python is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous programming experience is needed. The course will be given by  and , scientific developers of the . 

In this hybrid lecture , philosophy professor at the Frankfurt School of Finance & Management, will talk about the bounded confidence model. In that model individuals take seriously only those others whose opinions are not too far away from their own opinion. Although the model and its extensions are very simple according to the definitions, numerous surprising effects arise. You can attend this lecture both online and on location in the . 

Due to the great interest in the previous training, we are repeating this Statistics course. Data are becoming increasingly important in the humanities. In this one-day course, intended for researchers and teachers in the humanities, you will learn the basics of statistical data analysis. The training will be given by prof. .