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

CDH Basics: Bulk data capture new Tue 8 Feb 2022   10:00 [Places]

This CDH Basics session investigates three different methods for accessing digital data ‘in bulk’: using an API (Application Programme Interface), web scraping and direct access (via download or on a hard drive). We will explore the importance of good practice in documenting the provenance of data that others have created and discuss the practical steps in research data management essential to ensuring that you are able to make legal and ethical use of this type of data in your research. No knowledge of programming languages is required, however, there will be a demonstration of a Python web scraper during the session and references to more in-depth tutorials on web scraping will be provided.

CDH Basics: Computer vision: a critical introduction new Tue 24 May 2022   10:00 [Places]

Machine learning-driven systems for seeing and sorting still and moving images are increasingly common in many contexts. This CDH Basics session explores the technical fundamentals of machine vision and discusses the societal and cultural impact of these systems, including the challenges and opportunities faced by humanities and social science researchers using computer vision systems as research tools.

CDH Basics: Data transformation with OpenRefine new Tue 22 Feb 2022   10:00 [Places]

Data which other people have created is often either unstructured or structured in the wrong way for the questions that you want to answer. Rather than reinventing the wheel and collecting it all over again, this CDH Basics session introduces participants to OpenRefine, a free ‘power tool’ for dealing with messy data. In order to work with OpenRefine you will need administrator privileges to install software on your laptop. 

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 CDH Basics 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.

CDH Basics: First steps in coding with Python new Tue 25 Jan 2022   10:00 [Standby]

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 that allows users to create and share documents containing live code alongside visualisations and narrative text.

CDH Basics: Foundations of data visualisation new Tue 8 Mar 2022   10:00 [Places]

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 CDH Basics session presents the basic principles of data visualisation for researchers who are new to working with quantitative data.

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 demonstrates a range of different machine learning-based methods for exploring digital image collections.

Isabelle Higgins, Methods Fellow - Cambridge Digital Humanities

This Methods Fellows' Workshop Series event aims to encourage participants to think critically and reflexively about the nature of digital humanities research. It will explore (both individually and collectively) the function and effect of critical, intersectional and decolonial research methods and their impact on research fields, participants and research outputs.

For each seminar, participants will be provided with a reading list that will contain both core introductory texts and additional readings. They will be expected to do 30 minutes of reading ahead of each seminar. The seminars themselves will be a mix of presentations, small group discussion and the study of specific empirical cases. Throughout the seminars we will collectively assemble a shared bibliography of academic texts and other digital resources. Participants will also be encouraged to bring and share examples and challenges from their own research. To increase space for discussion and critical reflection, participants will be encouraged to form small working groups, focused on the seminar theme they find most productive, and to connect with their working group for a 30-minute call to reflect on their chosen seminar outside of the scheduled four hours of teaching. There will be the option to feed back on these discussions to the wider group, deepening our shared understanding of the content covered in the course. Isabelle will also hold virtual office hours following the seminar series. In these ways and others, the series will aim to cater for those new to this area of research, as well as for scholars who are already working in digital humanities.

Key topics covered in the sessions will include:

  • Seminar 1: Digital Humanities in Social and Historical Context

Considering what and how we research, we will focus on placing digital humanities, as a discipline, in the context of its emergence. Disciplinary Sociology, for example, is increasingly grappling with its colonial past (Meghji, 2020). What happens when we examine the history and context of digital humanities? McIlwain (2020) reminds us of the historical ties between the development of computational technology and the surveillance of Black bodies. Yet digital humanities research has also sought to challenge the legal, social and political power exercised through digital systems (Selwyn, 2019). Does contextualising our methods change how we approach them?

  • Seminar 2: Critical approaches to Digital Environments: Affordances, Interfaces, AI, Algorithms

We will draw on the vast range of work produced by race critical code scholars, which help us to explore the assumptions and inequalities that are coded into the software we study (or use to conduct our studies). Ruha Benjamin (2016a:150) reminds us to ask of digital technology: 'who and what is fixed in place – classified, corralled, and/or coerced, to enable innovation?' How does a consideration of encoded digital inequalities affect our methodologies?

  • Seminar 3: Critical Engagement with User Generated Content

Beyond content & discourse analysis, we will draw on critical theories that draw attention to the digital and social constructs and conventions that shape the production of user-generated content, with Brock's (2018) Critical Techno-Cultural Discourse Analysis as one such methodological contribution. We'll explore what happens to our research when we broaden our methodological framing, considering the type of content produced by users and how it is produced, who is producing it, and what governs this production.

  • Seminar 4: Looking forward: Our roles as researchers in Digital Humanities

We will pay attention to the growing calls from a range of cross-disciplinary scholars who invite us to actively consider the impact of our methods on the future. We'll explore different notions of methodological responsibility and innovation, from the speculative (Benjamin, 2016b), to the caring (de la Bellacasa, 2011), to the adaptive and inductive (Markham & Buchanan, 2012). What happens when we place our research into its broader context and consider how our methods will shape the future of our discipline?

Itamar Shatz - Methods Fellow CDH

This course will introduce participants to key concepts in statistical analyses, including statistical significance, effect sizes, and linear models. The goal is to give participants the basic tools that they need in order to understand the use of statistical methods by others and to use these methods effectively in their own research. We will focus on an intuitive and practical understanding of statistical analyses, rather than on the mathematical details underlying them. As such, the course will be accessible for those without a quantitative background, although it will help to have knowledge of basic descriptive statistics (e.g., mean and standard deviation).

The course will cover (approximately) the following topics:

  • Session 1: statistical significance and statistical tests (including hypothesis testing, p-values, statistical power, t-test, and chi-square test).
  • Session 2: effect sizes, correlation, confidence intervals, and outliers.
  • Session 3: linear regression (including simple/multiple regression, residuals, beta coefficients, and R-Squared).
  • Session 4: linear regression continued (including test statistics, standard errors, centering, interaction, categorical predictors, linear models, and assumption testing).

This course looks at how modern computational techniques in logic can be used to approach historical questions in the history of logic while also reflecting on the differences and similarities between historical and modern approaches to logic.

Historically, the course will focus on two authors’ approaches to modal logic, the branch of logic that deals with possibility, necessity, and contingency. Ibn Sina (9th century) and John Buridan (14th century). Using these two authors and their discussions of logic as a starting place, we will look at how their logical systems can be represented and formalised using contemporary computational methods, as well as reflecting on the similarities and differences between historical approaches to analysing validity and its relationship to modern notions of algorithms.

The overarching aim of the course is to develop the framework that allows us to computationally show that Buridan and Ibn Sina are working with the same modal logic under two different presentations.

Methods Fellows Series | Social Network Analysis new Tue 8 Mar 2022   14:00 [Standby]

Thomas Cowhitt, Methods Fellow - Cambridge Digital Humanities

This Methods Fellow's Workshop Series event will introduce users to social network analysis in R. Participants will be asked to generate their own relational dataset. We will then use several R packages to visualize and interpret relational data. By the conclusion of this course, users will be able to construct a relational dataset, load and clean this dataset in R, and generate static network diagrams and reports on descriptive network statistics.

Jessica M. Parr, PhD (Simmons University and The Programming Historian)

We welcome Jessica Parr as a guest lecturer for this Methods Workshop, where we will discuss mapping techniques for scholars of the transatlantic slave trade. It will open with a discussion of addressing the Eurocentricity of geospatial techniques and the archives. We will then discuss strategies for reading against the archive to locate Black voices and strategies for determining geospatial coordinates from primary sources. Finally, the workshop will conclude with a demonstration of how to create maps in Tableau and some discussion of data ethics.

Please apply for a place if you would like to attend, on registration, you will be asked to complete and submit an information form (which will remain open until 10 am Monday, 14 February 2022), places are limited and selected on a rolling basis, we would suggest early completion.  We will confirm participation week commencing Monday, 21 February 2022.

Text-mining is extracting information from unstructured text, such as books, newspapers, and manuscript transcriptions. This foundational course is aimed at students and staff new to text-mining. It 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 request a place and complete the application form, submitting it by the end of Monday, 7 March 2022. Successful applicants will be notified by the end-of-day Thursday, 10 March 2022. Preparatory materials will be released on Thursday, 17 March 2022. Places will be prioritised for students and staff in the schools of Arts & Humanities, Humanities & Social Sciences, libraries and museums. However, if you study or work in a STEM department and use humanities or social sciences approaches, you are also welcome to apply.

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