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Analysing and Visualising Social Media Data (Workshop) new Mon 11 Feb 2019   14:00 Finished

This session introduces a variety of analytical strategies, with a focus on Social Network Analysis, the most widely used and abused method for analysing and visualising digital and social media data. At the end of this session, you will be familiar with the basic concepts, techniques and measures of social network analysis.

Archival Photography: An Introduction new Wed 12 Jun 2019   11:00 Finished

This session focusses on providing photography skills for those undertaking archival research. Dr Oliver Dunn has experience spanning a decade filming documents for major academic research projects. He will go over practical approaches to finding and ordering materials in the archive, methods of handling and filming them, digital file storage, and transcription strategies. The focus is very much on low-tech approaches and small budgets. We’ll consider best uses of smartphones, digital cameras and tripods. The session is held at the Digital Content Unit at the University Library.

Beginner's Filmmaking Workshop new Mon 17 Feb 2020   10:00 Finished

Tutors: Sarah McEvoy / Kostas Chondros

Are you curious about making a short documentary film?

This beginner’s filmmaking workshop will help you to start thinking visually and communicate using sound and film. Over two days you will be introduced to different camera shot types, how to construct a basic story, use digital video cameras and sound recorders to shoot your own footage, and then edit a short sequence for export.

The workshop assumes no or very little prior knowledge of filmmaking and no prior preparation is required for the workshop. This is a hands-on practical workshop, working in small teams of two or three people. We expect a willingness to be open to ideas and work in a team to jointly create a short film clip.

The workshop will give you the foundational skills to incorporate film and sound in your own future projects, for example short clips for social media, publicity about research projects as a way to engage wider audiences etc.

During the workshop you will work with dedicated video equipment, but the techniques you will learn can be adapted to film making with smartphones, tablets and other readily available personal electronic devices.


Day 1 – Monday 17th February

  • 10.00 Welcome and introductions
  • 10.30 Aims of the session
  • 10.45 Introduction to shot types, camera movements, framing, telling a story, basic rules of camera use, rules of recording sound
  • 11.45 Splitting into groups – interactive demonstration of how to use the cameras
  • 13.00 Lunch
  • 14.00 Filming around Cambridge, practical exercise working in groups
  • 16.00 Return to room to look at footage from all groups
  • 17.00 Feedback session and summary of day 1 intro to day 2

Day 2 – Tuesday 18th February

We will be working on apple macs and Final Cut X; however we do not expect any prior knowledge of working with either computer or software

  • 10.00 Importing footage onto computers
  • 10.15 Basic editing, creating a 2-minute clip, summary of creating a sequence
  • 10.45 Adding clips to timeline, tools for manipulating clips, using second video track, transitions and filters, syncing audio
  • 13.00 Lunch
  • 14.00 Credits, titles, adjusting audio levels, adding music or narration, exporting footage, saving files
  • 16.00 Looking at each other’s edited clips
  • 16.45 Evaluation
  • 17.00 Finish

Handouts will be emailed after the workshop, and include:

Presentation – shot types, how to construct a sequence Editing on Final Cut x Camera functions, audio recording, info about equipment and editing software and model release forms

What you need to take with you

Headphones – preferably the kind you can plug in rather than Bluetooth headphones

Storage device – if you want to take footage you shoot with you after the workshop, you will need a hard drive, USB or SD card that can hold at least 8GB. Video files are large. Please make sure that the device is formatted to FAT32 if you use it on a PC, as we will be using macs. You can check this by right clicking the device and checking the properties. If you prefer, you don’t need to save the footage that you film and can also upload the exported film to Dropbox.

Upon booking this workshop a questionnaire will be issued to participants which must be completed in order to satisfy the booking.

The workshop is led by:

Sarah McEvoy holds BA Hons Fine Art and an MA in Visual Anthropology from Goldsmiths University of London and has most recently completed an MA in Art and Design in Education at UCL Institute of Education. Sarah has worked with arts organisations and charities creating short documentaries and has most recently filmed and edited a film working with a socially engaged artist in the community of South East London. As an artist-educator, Sarah works with youth groups and adults with learning disabilities in the community and museums and galleries.

Kostas Chondros holds an MA in Visual Anthropology from Goldsmiths College, University of London. He also holds an MA in Social Exclusion, Minorities & Gender from Panteion University and a BA in Social Anthropology & History from the University of the Aegean, Greece. Since joining the Personal Histories film production team in 2011, Kostas has filmed several events and taught camera & film production skills. Additionally, as a freelance filmmaker, Kostas documents improvised music performances and collaborates on film projects with other artists and performers. He is also a musician, poet and translator.

Find out how to use blogging in your research. The first of two sessions on research blogging will explore the benefits and limitations of blogging for public engagement.

The second of two sessions on research blogging will explore how social media can enable public engagement with your blog, learn how to set up a Twitter chat and explore other methods to get people talking about your research.

Bug Hunt 2020 [cancelled - Covid 19] new Tue 21 Apr 2020   13:00 CANCELLED

This programme is an opportunity to learn, through practical experience and shared investigation, how to apply digital methods for exploring and analysing a body of archival texts. The core of the programme will be 5 x 2 hour classroom based sessions supplemented by group and individual work on tasks related to the project design, delivery and documentation in between sessions. In addition to attending all five face-to-face sessions, participants should set aside an additional 8-10 hours over the duration of the course for work on project-related tasks.

During the programme we’ll work together on a particular topic: how insects were represented in books created for children in the 19th century. This question will help us to think about how children’s encounters with the natural world might have been framed and shaped by their reading. We’ll work on digital collections of 19th century children’s books exploring how such collections are built and how they can be used for machine reading. We’ll develop specific research questions and you’ll learn how to explore them using different tools for textual stylistic analysis. At the end, we’ll present findings and consider the implications of what we’ve discovered.

Topics covered include;

• The development of methods for machine reading the archive – ideas, motivations and ethics • Children’s books of the long 19th century – a beginner’s guide • Designing a small-scale investigation • Building a collection of digital texts • Transforming texts into searchable data • Analysing stylistic patterns in the data

Creating Databases from Historical Sources (Workshop) Mon 25 Feb 2019   11:00 Finished

This workshop will examine strategies for transforming a variety of sources into structured digital data, ranging from crumbling manuscripts to printed documents and books.

Leonardo Impett, Cambridge Digital Humanities

Application forms should be returned to CDH Learning ( by Friday 22 May 2020. Successful applicants will be notified by 26 May 2020.

This course will introduce graduate students, early-career researchers, and professionals in the humanities to the technologies of image recognition and machine vision, including recent developments in machine vision research in the past half-decade. The course will seek to combine a technical understanding of how machine vision systems work, with a detailed understanding of the possibilities they open to research and study in the humanities, and with a critical exploration of the social, political and ideological dimensions of machine vision.

Learning outcomes

By the end of the course, students should be able to:

  • Understand the basic tasks of machine vision, such as Image Classification, Object Detection, Image-to-Image Translation, Image Captioning, Image Segmentation etc.
  • Understand the fundamental technical operations of image processing and machine vision: the pixel encoding of images, Gaussian and convolutional filters,
  • Explore critical aspects of machine vision in a technically-informed way: e.g. the problems in algorithmic bias brought about by featureless convolutional networks
  • Develop and run their own simple machine vision and image processing pipelines, in a visual programming language compiling to Python
  • Understand the potential synergies and limitations of machine vision applications in humanities research and cultural heritage institutions
Data Presentation and Preservation new Tue 28 Jan 2020   11:30 Finished

The afterlife of your research data forms a vitally important part of your research project. Research funders and academic journal publishers are often strongly committed to the re-use of data and are reluctant to fund or publish research where datasets are not accessible for the purposes of peer review or further use. Yet the push for open data exists in tension with the expectations of data protection law which requires transparency from researchers about how long they will retain personal data. This session will explore good practice in data sharing and archiving as well as introducing sources of further information and advice within the University on this topic.

Data Wrangling (Workshop) new Mon 4 Feb 2019   14:00 Finished

Garbage in, garbage out! Your output is as good or as bad as your input. Data collected from online sources is often dirty and messy. Discover how to clean and organise your data. After transforming raw data into a structured dataset, you will be ready to perform data analysis.

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