CDH Cultural Heritage Data School
**Apply here** |
- The digital project lifecycle
- Digital text mark-up and TEI
- Text-mining and Named Entity Recognition with Python
- Geodata, controlled vocabularies and principles of semantic data modelling
- Using machine learning to work with large-scale image collections
- Dr Anne Alexander (Director of Learning, CDH)
- Huw Jones (Library Digital Humanities Coordinator, CDH Labs)
- Chiara Capulli (Methods Fellow, CDH Learning)
- Dr Mary Chester-Kadwell (Senior Software Developer, CDH Labs and Cambridge University Library)
- Review full online programme here
- Review Frequently Asked Questions here
- Application deadline: Monday, 8 February 2021
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.
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Standard Rate: £245
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Small Organisations / University Staff: £145
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Students / Unemployed / Community Projects / Unfunded Projects : £45
In addition, a small number of bursaries are available to those who can demonstrate financial need.
While we encourage applications from everyone, we particularly welcome applications from women and black and minority ethnic candidates as they have historically been under-represented in the technology and data science sector.
Questions related to the application procedure or course content: Karen Herbane (Digital Humanities Learning and Events Coordinator): learning@cdh.cam.ac.uk
"Taking part in exchanges with both the CDH team and participants from diverse disciplines and backgrounds was exceptionally interesting, alongside having the opportunity to engage with cutting-edge technologies and tools in digital humanities research. Thank you for such a transformational experience that surely will impact my teachings and academic research orientation.” Dr. Abeer Naser Eddine, Assistant Professor, Lebanese University, Beirut, Lebanon – Attendee Cultural Heritage Data School 2020 |