Workshop Strands - Digital Humanities at Oxford Summer School 2026

WORKSHOP STRANDS

This strand offers a stepping stone for those who have begun to learn python and want to apply it in their own work and research. It provides a practical foundation for humanities scholars and GLAM professionals, covering topics including: python packages for data analysis (pandas); how to get from messy to tidy data; basics of data analysis and visualization (matplotlib and plotly); geo mapping (geopandas); network analysis (networkx and gephi); and a range of natural language processing methods. Classes are hands-on and interactive, and we will work with real-world data from the GLAM sector. Attendees are encouraged to bring their own projects and data to work on, and will receive practical support and advice tailored to their work.

This workshop combines taught and practical sessions with case-studies introducing the use of the Guidelines of the Text Encoding Initiative (TEI), with a focus on the representation and publishing of primary sources. TEI is a very broad and flexible standard, so we will also concentrate on how TEI can best be used in specific research contexts. We will showcase a number of projects in the fields of digital editing, text-analysis and publication. Case studies will cover both specific textual phenomena and those common to diverse media and genres. Core aspects of TEI to be covered in the hands-on exercise sessions include structural elements of texts, metadata, representing people, places, dates and groups, the transcription and description of documents, encoding correspondence, and how to query, transform and publish your texts.

Unlock the power of Natural Language Processing in Python with our hands-on workshop!

From processing and enriching texts to mastering automated semantic analysis, participants will gain practical skills in language modeling and learn to apply machine learning techniques.

Explore applications in humanities research, including tracking semantic change and uncovering biases. By the end, you'll leave with a solid understanding of NLP essentials and the ability to leverage Python for meaningful analysis of humanities textual data.

This strand will appeal to anyone new to the field, or curious to broaden their understanding of the range of work the digital humanities encompass.

The strand will be a mixture of lectures, discussions and some practical workshops so you will understand how your research or work can benefit from digital humanities theories, practices or policies.

Take this strand if you are curious about digital humanities and want to know how you could apply it to your study, research or working practice. If you don't know where to start with digital humanities - start here.