Cambridge Digital Humanities course timetable
April 2023
| Mon 24 |
This in-person workshop will provide an accessible, non-technical introduction to Machine Learning systems, aimed primarily at graduate students and researchers in the humanities, arts and social sciences. Key topics covered in the sessions will include:
During the session participants will be encouraged to work through practical exercises in image classification. No prior knowledge of programming is required. Participants wishing to run the experiments for themselves will need access to a laptop, but no special software is required, just an up-to-date web browser and an internet connection. We will be using Google Colab for the text generation experiments which you have access to via your Raven log-in. The image classification experiments will require a GitHub account ([sign up here https://github.com/]) |
May 2023
| Wed 10 |
Speaker: Mark Algee-Hewitt, Associate Professor of English and Director of the Stanford Literary Lab. About this Methods workshop At the heart of many of the current computational models of language usage, from generative A.I. to recommendation engines, are large language models that relate hundreds of thousands, or millions, of words to each other based on shared contexts. Mysterious products of complex modelling algorithms, these objects raise a number of practical (and ethical) questions for Humanities scholars: How are these language models created? What kinds of relationships does their math encode? How do biases in the corpus affect the model? And how can we effectively use them to answer humanities-based questions? In this workshop, we will explore these questions using a medium-sized language embedding model trained on a corpus of novels. Using approachable code in the R software environment, participants will learn how to manipulate a model, assess similarities and difference within it, visualise relationships between words and even train their own embeddings. |
| Wed 24 |
This month we are calling on the expertise of students and staff here at Cambridge to bring underrepresented histories ‘out of the shadows’ and into the light on Wikipedia. No prior Wiki experience is required! We will host an online training session at 11am on 17 May to get you started. This session will also be recorded and made available. On 24 May we will host our edit-a-thon at the University Library. This drop-in event will allow you to access support throughout the day to help improve and expand Wikipedia’s content. Hosted jointly by Doing History in Public, Cambridge University Libraries, and Cambridge Digital Humanities, with the assistance of Wikimedia UK, we hope to get as many new pages created and edits made as possible. Refreshments will also be provided to fuel your efforts. If you cannot be in Cambridge on 24 May, we will also do our best to enable you to interact remotely. You can also follow updates on Twitter via the hashtag #OOTSwiki. |