Cambridge Digital Humanities course timetable

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.

Are you interested in looking at primary sources in new ways? Would you like to learn how to analyse large sets of historical and contemporary materials to provide a different perspective on your research?

In this session we will introduce Gale Digital Scholar Lab, a cloud hosted text and data mining platform available to the University. The Lab combines the text from Gale’s archive collections available at Cambridge, including Times Digital Archive and Eighteenth-Century Collection Online (ECCO), with powerful text mining tools that enable sophisticated, wide-ranging analysis.

You don’t need any previous experience in text and data mining, and you don’t have to have any interest in coding or algorithms – this session will explain how absolutely anyone can run these analyses and enhance their research accordingly.

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.

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.

Are you interested in looking at primary sources in new ways? Would you like to learn how to analyse large sets of historical and contemporary materials to provide a different perspective on your research?

In this session we will introduce Gale Digital Scholar Lab, a cloud hosted text and data mining platform available to the University. The Lab combines the text from Gale’s archive collections available at Cambridge, including Times Digital Archive and Eighteenth-Century Collection Online (ECCO), with powerful text mining tools that enable sophisticated, wide-ranging analysis.

You don’t need any previous experience in text and data mining, and you don’t have to have any interest in coding or algorithms – this session will explain how absolutely anyone can run these analyses and enhance their research accordingly.

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.

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.

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 Friday, 30 April 2021. Successful applicants will be notified by end-of-day Thursday, 6 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.

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 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 Friday, 30 April 2021. Successful applicants will be notified by end-of-day Thursday, 6 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.