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

Bulk Data Capture: an overview new Tue 23 Feb 2021   10:00 [Places]

This CDH Basics 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.

This CDH Basics session explores how 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 through some case studies in data cleaning with OpenRefine, a powerful open source tool for working with messy data.

Doing Qualitative Research Online new Mon 1 Feb 2021   14:00 [Full]

What happens to practices of qualitative research when interactions between researcher and research subject are largely mediated? From observations of users’ interactions on social media platforms, to interviews conducted through WhatsApp or Skype, digital communications offer both opportunities and challenges for qualitative research in a wide range of disciplines across the Social Sciences and Humanities. This methods workshop will explore a wide range of topics including:

  • Establishing trust and credibility
  • Engaging with digital gatekeepers
  • Navigating blurred boundaries between ‘private’ and ‘public’
  • Re-conceptualising ‘researchers’, the ‘research field’ and ‘ research subjects’
  • Identity, anonymity and visibility - implications for research practice
  • Mitigation strategies: from data parsimony to creative obfuscation
  • Self-care for researchers in online research
  • Embedding ethical research practice across the project lifecycle

The workshop will take place over two sessions, an introductory seminar and discussion led by Dr Anne Alexander on 1 February, after which participants will be asked to complete a short reflective piece of work assessing their own research design and identifying areas where they feel they need further help and advice. The second session on 8 February will be participant led including small group and plenary discussions exploring strategies for dealing with challenges identified by participants.

Participants should set aside around 1 hour between the two sessions to complete and submit their self-assessment.

Participants are strongly encouraged to attend the CDH Basics session Privacy, information security and consent: a guide for researchers with Dr Anne Alexander on 26 January in advance of the Methods Workshop.

First steps in coding with Jupyter Notebooks new Tue 9 Feb 2021   10:00 [Places]

This CDH Basics session is aimed at researchers who have never done any coding before. We will explore basic principles and approaches to writing and adapting code, using the popular programming language Python as a case study. Participants will also gain familiarity with using Jupyter Notebooks, an open-source web application which allows users to create and share documents containing live code alongside visualisations and narrative text.

Interaction with Machine Learning new Mon 1 Feb 2021   10:00 [Full]

Application forms should be returned to CDH Learning ( by Thursday 7 January 2021. We will review applications on a rolling basis and applicants will be notified at the latest by the end of Monday 11 January.

This CDH Guided Project aims to provide humanities, arts and social science researchers with an overview of current theory and practice in the design of human-computer interaction in the age of AI and equip the participants with analytical tools necessary for a critical investigation of contemporary design with AI/ML. Looking closely at interactions between humans and emerging AI systems, the workshop will also explore the potential for interaction between humanities scholars and computer scientists in the process of development and assessment of new solutions.

Lectures and practical research design sessions in Interaction with Machine Learning taught by Professor Alan Blackwell and Advait Sarkar (Microsoft Research) as part of an optional course for Part III and MPhil Computer Science students will form the anchoring element of the Project. These will allow researchers without a Computer Science background to explore how key challenges in AI design are being addressed within the field of interaction design, as well as identify areas in which humanities methodologies and approaches could be adopted to improve the production process, by making it more fair, critical, and socially-aware.

Participants will also take part in three workshops specifically tailored to humanities and social science researchers and will be supported in developing a mini research project investigating how humans interact with systems based on computational models. The projects may include:

  • probing an already existing dataset, system, or user interface from a critical perspective
  • developing an idea for new interaction design based on critical applications of ML/AI.

Please note: no prior practical experience or knowledge of programming is required to take part in the Project, however some awareness of how AI systems work will be beneficial.

Minimum time commitment:

  • 8 weekly online lectures led by Professor Alan Blackwell (Computer Science and Technology) and Advait Sarkar (Microsoft Research). Weekly from 26 January, 2-4pm (with the last hour as an optional session for Guided Project participants).
  • 3 x 1.5 hour specialist workshops for humanities and social science participants led by Tomasz Hollanek and Anne Alexander (CDH)
  • 1.5 hour project showcase and final discussion

Participants are encouraged to set aside additional time to work on their projects between sessions. A Moodle email forum and drop-in ‘clinic’ style support sessions will be available during the Guided Project.

Lecture topics and dates

  • Current research themes in intelligent user interfaces (26 January, 2pm)
  • Program synthesis (2 February, 2pm)
  • Mixed initiative interaction (9 February, 2pm)
  • Interpretability / explainable AI (16 February, 2pm)
  • Labelling as a fundamental problem (23 February, 2pm)
  • Machine learning risks and bias (2 March, 2pm)
  • Visualisation and visual analytics (9 March, 2pm)
  • Research presentations by Computer Science Students (16 March, 2pm)

Workshop themes

  • AI critique, humanities methodologies and user interface design (1 February, 10-11.30am)
  • Recommender systems (1 March 10-11.30am)
  • Machine vision (8 March 10-11.30am)
  • Project presentations and discussion (15 March 10-11.30am)

Objectives By the end of the course participants should:

  • be familiar with current state of the art in intelligent interactive systems
  • understand the human factors that are most critical in the design of such systems
  • be able to evaluate evidence for and against the utility of novel systems
  • be able to apply critical methodologies to current interaction design practices
  • understand the interplay between ML/AI research and humanities approaches

Application forms should be returned to CDH Learning ( by Friday 29 January 2021. Successful applicants will be notified by end of day Monday 8 February 2021.

As religious services and communities have shifted online so too have scholars of religion. But at what cost? These sessions raise some of the epistemological and ethical issues of doing fieldwork in a digital environment from an inclusive anthropological perspective with a close-up on a particular case study in each session.

The first session considers conducting virtual ethnography, what is gained and what is lost, with a focus on ethnography with Orthodox Jewish populations; the second session assesses digital surveys of religious communities and their attitudes e.g. what the 'bean-counters' might miss (and strategies not to) and finally in the third session we problematize the ethical tensions in online studies of community media with a particular focus on French Muslim media, already heavily surveilled.

The sessions are intended to develop researcher knowledge and explore cross-cutting issues that concern a broad spectrum of humanities and social science-based scholarship serving as;

  • a forum for the critical discussion of digital methods and epistemologies,
  • a place to learn more about specific case studies particularly in the UK and France, and
  • an assembly of early research minds in the throes of a related or relevant project themselves who wish to share and learn from one another

Application forms should be returned to CDH Learning ( by Monday, 1 February 2021. Successful applicants will be notified by end of day Monday, 8 February 2021.

Corpus linguistic approach to language is based on collections of electronic texts. It uses software to search and quantify various linguistic phenomena that make up patterns, which it then compares within and across texts based on their frequency. Corpus stylistics applies tools and methods from corpus linguistics to stylistic research. Corpus stylistics mainly focuses on literary texts, individual or corpora. Corpora are here, usually, principled collections of texts, for example a collection of texts by one author, or texts from a specific period. It focuses both on more general patterns and meanings that are observable across corpora and patterns and meanings in one individual text. In terms of quantitative approaches that corpus stylistics employs, it is in many ways similar to work that is referred to as ‘distant reading’ and also ‘cultural analytics’. These approaches emphasise the gains that we get from looking at texts from “distance”, i.e., in large quantities. For corpus stylistics, it is the relationship between quantitative and qualitative that is central. Therefore, research in corpus stylistics often deals with much smaller “cleaner” data sets, so that the qualitative step in the analysis is more manageable.

This workshop aims to introduce the basic corpus linguistic techniques and methods for working with literary and other texts. It aims:

  • To provide an introduction to corpus linguistics in relation to digital humanities approaches;
  • To develop critical understanding of how data representativeness used in quantitative research may influence results;
  • To critically examine the relationship between quantitative and qualitative textual analyses;
  • To provide a practical toolkit for computational textual analysis.
Methods Workshop: Introduction to Text-mining with Python new Thu 11 Mar 2021   11:00 Not bookable

Text-mining is extracting information from unstructured text, such as books, newspapers, and manuscript transcriptions. This foundational course is aimed at students and staff who are new to text-mining, and presents a basic introduction to text-mining principles and methods, with coding examples and exercises in Python. To discuss the process, we will walk through a simple example of collecting, cleaning and analysing a text.

If you are interested in attending this course, please fill in, and return, the application form by Monday, 22 February 2021. 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.