We look forward to welcoming you to our 10th Anniversary.
The Digital Humanities at Oxford Summer School offers training to anyone with an interest in the Digital Humanities, including academics at all career stages, students, project managers, and people who work in IT, libraries, and cultural heritage.
DHOxSS is run by the Humanities division and Oxford e-Research Centre.
“Thank you to everyone involved with arranging and presenting this fascinating and informative conference. It was very well organised. This was my first year attending and I actually appreciated that I was able to essentially have introductions to all strands.” - DHOx2020 participant
Read our 2020 report on the virtual Digital Humanites at Oxford Summer School.
Strands planned for 2021's Summer School
An Introduction to Digital Humanities: Expert Insights into our Digital Landscape
A thorough overview of the theory and practice of Digital Humanities. Drawing on expertise from across the University of Oxford and our national and international collaborators, and on the University's library collections, it will appeal to anyone new to the field, or curious to broaden their understanding of the range of work the Digital Humanities encompass.
An Introduction to the TEI: From source to publication
A practical grounding in what the TEI (Text Encoding Initiative) can do to represent both the physical and the textual features of sources, how it can inform the analysis of texts, and how it can form part of a publication pathway.
Applied Data Analysis
Advanced class: Data science methods to analyse humanities data, an introduction to data analysis techniques of practical use to humanities scholars and GLAM professionals. Looking at reading, cleaning, describing, modelling and visualizing text and network data, following a tidy approach.
Crowdsourced Research in the Humanities: Theory and Practice.
Exploring the opportunities of collaborative research methods in the context of digital humanities. How to approach crowdsourced research to prioritize data quality without sacrificing ethical collaborative research practices.
Humanities Data: Case Studies and Approaches
Introducing a variety of approaches to humanities data: modelling, structuring, and working with data, plus longer-term curation and preservation. Data types include textual, tabular, image-based and time-based media, to equip researchers to select solutions that will work for them.
When Archives Become Digital
Working with digitised and digital archives in order to frame a range of major theoretical, ethical, and political issues surrounding the cultures of digital archives .
Sculpting Digital Cultural Heritage
Methods for capturing, analysing and digitally displaying cultural heritage,including the digital capture of objects and the creation of 3D models, the creation of augmented reality smartphone applications and virtual reality environments.
An introduction to computational and informatics methods that have been, successfully applied to musicology. using techniques that have their foundations in computer science, library and information science, mathematics and most recently Music Information Retrieval (MIR).
Linked Data for Digital Humanities
Publishing, querying, and linking on the Semantic Web. Looking at the opportunities of collaborative research methods, understanding how to approach crowdsourced research to prioritize data quality without sacrificing ethical collaborative research practices.
From Text to Tech
Python programming for powerful text processing in the Humanities, from cleaning texts to extracting meaning from them, as well as the basics of automated semantic analysis with machine learning.