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Cambridge Digital Humanities

Cambridge Digital Humanities course timetable

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Mon 7 Oct – Mon 2 Dec

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October 2024

Thu 17
CDH Basics: Designing a digital research project new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

This CDH Basics session explores the lifecycle of a digital research project across the stages of design, data capture, transformation, and analysis, presentation and preservation. It introduces tactics for embedding ethical research principles and practices at each stage of the research process.

  • Introduction to the digital project life cycle
  • Ethics by design and EDI-informed data processing
  • Data and metadata - definitions
  • Basics of data curation (good practice in file naming, version control)
  • Understanding files and folders

This can be attended as a standalone session or as part of the DH Basics course.

Thu 24
CDH Basics: Acquiring data for your project new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

This session provides a brief introduction to different methods for capturing bulk data from online sources or via agreement with data collection holders, including Application Programme Interfaces (APIs). We will address issues of data provenance, exceptions to copyright for text and data-mining, and discuss good practice in managing and working with data that others have created.

  • Data collection methods
  • Introduction to working with APIs
  • Data brokerage
  • Provenance and integrity
  • Assessing intellectual property, copyright and Data Protection issues
  • Documentation of collection methods
Thu 31
CDH Basics: Transforming your data new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

Data which you have captured rather than created yourself is likely to need cleaning up before you can use it effectively. This short session will introduce you to the basic principles of creating structured datasets and walk you through some case studies in data cleaning with OpenRefine, a powerful open source tool for working with messy data.

  • Structuring your data
  • Cleaning messy textual data with OpenRefine

This can be attended as a standalone session or as part of the DH Basics course

November 2024

Thu 7
CDH Basics: Analysing and presenting your data new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

The impact of well-crafted data visualisations has been well-documented historically. Florence Nightingale famously used charts to make her case for hospital hygiene in the Crimean War, while Dr John Snow’s bar charts of cholera deaths in London helped convince the authorities of the water-borne nature of the disease. However, as information designer Alberto Cairo notes, charts can also lie. This introductory Basics session presents the basic principles of data visualisation for researchers who are new to working with quantitative data.

  • Principles and good practice in data visualisation
  • Basic introduction to quantitative methods of data analysis
Thu 14
CDH Basics: Sustaining your data new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

Ensuring long-term access to digital data is often a difficult task: both hardware and code decay much more rapidly than many other means of information storage. Digital data created in the 1980s is frequently unreadable, whereas books and manuscripts written in the 980s are still legible. This session explores good practice in data preservation and software sustainability and looks at what you need to do to ensure that the data you don’t want to keep is destroyed.

  • Data and code sustainability
  • Retention, archiving and re-use
  • Data destruction
  • Recap on the project life-cycle
Thu 21
CDH Basics: Building your digital research skills with the Programming Historian new [Places] 09:30 - 10:30 Cambridge Digital Humanities Online

The Programming Historian publishes novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching. This workshop will help you plan your next steps in learning the skills you’ll need to work with data. We’ll highlight PH lessons which will put into practice skills related to the previous sessions in the Basics series, discuss common problems and how to overcome obstacles, sources of peer-to-peer support and how to build a community around you as you work. This can be attended as a standalone session or as part of the DH Basics course.

December 2024

Mon 2
CDH Methods: Accessible and Inclusive Images and Imaginaries of AI new [Places] 13:00 - 16:30 Cambridge University Library, Milstein Room

This workshop, organised in collaboration with Dr Ann Borda (Alan Turing Institute), will provide an accessible, non-technical introduction to AI systems for working with images (such as image classification, analysis and generation) and discuss sources of bias and problems of interpretation. Through discussion and hands-on exercises, we will demonstrate some of the ways in which image-generation models reproduce bias and stereotypes. We will use a data justice lens to:

  • Address the hidden assumptions, abilities, knowledges, and interpretations that shape how AI is represented in images and is used in image generation;
  • Explore ways to make AI more accessible to different human capabilities;
  • Investigate how to make AI outputs more representative of diverse populations, reflecting a broader range of lived experiences.