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6 matching courses
Courses per page: 10 | 25 | 50 | 100


CDH Labs: Digital Scholar Lab sessions: Tools in Depth new Thu 13 May 2021   15:00 [Places]

Chris Houghton (Head of Digital Scholarship for Gale) joins us to deliver this suite of CDH Labs sessions. Chris collaborates globally with scholars, in the digital humanities community, ensuring the development of Gale Digital Scholar Lab continues to meet their needs.

Computer Vision: A critical introduction new Tue 25 May 2021   10:00 [Places]

Machine vision systems can potentially help humanities researchers see historical and cultural image collections differently, and could provide tools to answer new research questions. This CDH Basics session provides an introductory overview of basic tasks in machine vision, such as Image Classification, Object Detection and Image Captioning within a critical framework highlighting the challenges of algorithmic bias and the limits of automation as a method for humanistic enquiry.

Methods Fellow Workshop: Audible knowledge: soundscapes, podcasts and digital audio scholarship

Dr Peter McMurray (CDH Methods Fellow)

With the rise of web-based scholarship and affordable digital audio equipment, artists and researchers are increasingly turning to audio formats as way to share their work with a larger audience and to cultivate new forms of knowledge rooted in listening. This workshop will offer an introduction to digital audio recording and editing (using Reaper, a digital audio workstation which can be downloaded/used for free on an extended trial basis). We will focus particularly on the editing choices for soundscape composition and podcasting, and participants will have the opportunity to produce a short audio piece over the course of the workshop.

The aim of this course is to support students, researchers, and professionals interested in exploring the changing nature of the English vocabulary in historical texts at scale, and to reflect critically on the limitations of these computational analyses. We will focus on computational methods for representing word meaning and word meaning change from large-scale historical text corpora. The corpus used will consist of Darwin’s letters from the (Darwin Project https://www.darwinproject.ac.uk/) at Cambridge University Library. All code will be in online Python notebooks.

If you are interested in attending this course, please fill in the application form

Methods Workshop: Best Practices in Coding for Digital Humanities

Mary Chester-Kadwell (CDH Methods Fellow)

Please note this workshop has limited spaces and an application process in place. Application forms should be completed by Tuesday, 11 May 2021. Successful applicants will be notified by end-of-day Wednesday, 12 May 2021.

This course introduces best practices and techniques to help you better manage your code and data, and develop your project into a usable, sustainable, and reproducible workflow for research.

Developing your coding practice is an ongoing process throughout your career. This intermediate course is aimed at students and staff who use coding in research, or plan on starting such a project soon. We present an introduction to a range of best practices and techniques to help you better manage your code and data, and develop your project into a usable, sustainable, and reproducible workflow. All the examples and exercises will be in Python.

If you are interested in attending this course, please fill in the application form. Places will be prioritised for students and staff in the schools of Arts & Humanities, Humanities & Social Sciences, libraries and museums. If you study or work in a STEM department and use humanities or social sciences approaches you are also welcome to apply.

If you are interested in attending this course, please fill in the application form.

This CDH Basics session introduces the IIIF image data framework, which has been developed by a consortium of the world’s leading research libraries and image repositories and methods of access to image collections including the collections of Cambridge University Digital Library. We will also discuss a range of methods using IIIF image data in humanities research.