In this 2-hour workshop you will be introduced you to social media data collection and analysis. After this hands-on session, you will be able to gather social media data yourselves. We’ll be using 4CAT: Capture and Analysis Toolkit, which doesn’t require any programming experience.

In this 4-hour workshop you will be introduced to network analysis and visualization using Gephi. After this hands-on session, you will be able to conduct a network research on a large dataset.

This entry level course in Python, provided by scientific developers of the Research Software Lab, is designed for humanities teachers and researchers who want to learn the foundations of Python in order to write simple programs using the most common structures. No previous programming experience is needed.

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.

During this 3-hour entry level demo-workshop the Digital Humanities support team at the University Library, will demonstrate and teach how to use Optical Character Recognition software and Transkribus on example texts or material from your own research.

This 30 to 45 minutes lecture is set up as entry into Digital Humanities (DH) thinking. Professor Hugo Quené will show and discuss how to work with digital data and how to employ digital methods in the humanities. This presentation is intended for everybody interested in working with digital sources and/or digital methods.

In this one-day course assistant professor Hugo Schnack 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.

I-Analyzer is an online text and data mining application, developed by the Research Software Lab, that combines online availability and ease of use with flexibility. This 3-hour workshop will give an overview of how you can process text corpora to be used in I-Analyzer, and how to search, filter and visualize results. If you’re interested, it might be possible to add a document collection of your choice in I-Analyzer.

Yoda is the default storage infrastructure for research data in the Humanities faculty at Utrecht University. This 1,5-hour workshop will provide a hands-on introduction to Yoda, and will help you navigate the data related choices you encounter during the different phases of your research.

The famous ‘Atlas Maior’ by the Amsterdam firm of Blaeu has recently been georeferenced by the University Library. What is georeferencing and what is the scientific value of georeferenced maps for especially research and education? This joint UB and CDH workshop of 3 hours will show and teach you how to georeference digitized maps and how you can (re-)use them in your own work.

R is a powerful scripting language for data handling, data visualization, and statistics. This one-day workshop specifically targets researchers working within the Humanities and aims to give you the tools to start exploring R and all it has to offer by yourself. We focus on learning the basics of R and applying your new found R knowledge and skills to datasets. At the end of the course you will be able to: (1) read and write lines of R code (even if you do not understand all functions, you know how to look them up); and (2) use RStudio, and use it to write an R script and an R markdown document.

During this 2,5 hour entry-level workshop, you will be introduced to the qualitative data analysis programme NVivo. The host will walk you through a number of basic functionalities of the software package, such as importing, coding, organizing, and searching your data.

During this 1,5 hour workshop, the host will demonstrate how to apply automatic speech recognition (ASR) to your own materials using Whisper, an ASR system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.