Deadline: December 11, 2022
For more information: https://www.cdh.cam.ac.uk/events/35480/
The Cultural Heritage Data School, led by Cambridge Digital Humanities, is an online intensive application-only teaching programme which aims to bring together participants from the wider Galleries, Libraries, Archives and Museums (GLAM) sector and academia to explore the methods used to create, visualise and analyse digital archives and collections. The curriculum will be structured around the digital collections and archives pipeline, covering the general principles and applied practices involved in the generation, exploration, visualisation, analysis and preservation of digital collections and archives.
When and Where
This school will be held online: 12–16 December 2022. Data School live sessions are timetabled daily from 11am–4pm (GMT). To convert this to your timezone you can use this Time Zone Converter.
During the course you will be provided with links to our virtual learning environment (Moodle) where we will publish course content and links to our online video delivery platform for teaching and social interactions.
This upcoming online version will run for one week instead of two, as in previous iterations of online Cultural Heritage Data Schools during the pandemic, but the amount of instruction is similar. An in-person Cultural Heritage Data School is also scheduled for March 2023, and those interested in attending under that format will be welcome to apply once the application process opens (though please note, content and fees will differ).
Cambridge Digital Humanities is committed to democratising access to digital methods and tools and is offering the following subsidised participation fees to encourage applications from those who do not normally have access to this type of training. The fees include all teaching costs.
- £245 (Standard Rate)
- £45* (Concessionary Rate)
*Concessionary rate is for students, unemployed, community projects, unfunded projects, and Global South residents.
In addition, a small number of bursaries are available to those who can demonstrate financial need. You can apply for this on the application form.
The deadline for payment is two weeks before the start of the School.
The Cambridge Data Schools are competitive and application-only schools. Places are given to those who we feel can make best use of the classes.
No previous experience of coding is required and there are no specific academic requirements, however the course content is broadly suitable for those with an undergraduate degree or equivalent professional experience. The School is taught in English. You will need a reliable internet connection to join in, and the ability to download free, open software for use during the School.
We accept applications from everyone, active members of the GLAM sector, academics, students, and so on. We are committed to facilitate participation by women, black and minority ethnic candidates as they have historically been under-represented in the technology and data science sector. We also welcome applications from outside the UK, assuming they can attend the live workshop slots during 11am-4pm GMT. Sessions will not be recorded and therefore live attendance is required.
The teaching team includes:
- Dr Anne Alexander (Director of Learning, CDH)
- Hugo Leal (Teaching Associate, CDH)
- Huw Jones (Library Digital Humanities Coordinator, CDH Labs)
Sessions will include live-taught instruction, demonstrations and discussions online, with access to self-paced study materials and support via email-based discussion groups between sessions. Participants will need a laptop or desktop computer and internet access to participate in the sessions. Some sessions will require software installation – full instructions will be provided but please ensure you have access rights to install software on the device you will be using.
How to apply
Fill in the application form by 15 November 2022. You will hear whether your application was successful or not by 21 November 2022.
The Cultural Heritage Data School is application-only with limited places. During your application you should make best use of the free text sections to explain your current experience, and what you would get out of attending the School.