Rare Books Summer School Victoria University of Wellington

Exploring Digital Humanities:
A hands-on introduction to data-driven research

Exploring Digital Humanities:
A hands-on introduction to data-driven research

In this five-day intensive course Thomas Koentges will help participants explore digital humanities through theoretical and hands-on seminars. Although the course doesn't require any prior knowledge, it's not just for beginners as experienced participants can update their existing skills and profit from working on more challenging tasks in the practical sessions. By partaking in the course, participants will learn the principles and basics of digital humanities and data research. Additionally, participants will deepen their knowledge in specific areas when we explore how to: create your own personal research environment; manage, curate, and enrich data collections; analyse natural language, geospatial data, and social networks; use visualisations to reduce the complexity of data; and make use of linked data, APIs, and microservices for humanities research. All programming languages welcome (but if you don't yet know one, come anyway and meet a few!).

In this five-day intensive course Thomas Koentges will help participants explore digital humanities through theoretical and hands-on seminars. Although the course doesn't require any prior knowledge, it's not just for beginners as experienced participants can update their existing skills and profit from working on more challenging tasks in the practical sessions. By partaking in the course, participants will learn the principles and basics of digital humanities and data research.

Register here!

Monday, 28 Jan 2019

Digital Humanities & Data Retrieval

The first day of the course is all about becoming more familiar with the principles and basics of digital humanities and data retrieval. The morning will include a theoretical overview of qualitative and quantitative research and data retrieval via APIs. In the afternoon, we will have practical sessions, where we use DigitalNZ's API to retrieve, clean, and enrich a sample data set. All without programming languages!

Open Refine
Google Fusion
APIs
Data Formats
Digital Humanities
Basic Visualisation of the Colenso Letter Network
Basic visualisation of Colenso's network of letters after data cleaning.

Tuesday, 29 Jan 2019

Linked Open Data & its Application

The second day expands on the theoretical and practical knowledge of the first, when we will build our own Virtual Research Environment based on Linked Data principles. After a broad introduction to the most common programming languages in the field, we use the language Go to build microservices to organise and analyse our datasets.

Git
Go
R (also RStudio)
Linked Data
Microservices
Brucheion is based on Linked Data & Microservices.

Wednesday, 30 Jan 2019

User Experience & Data Curation

The third day is all about organising, curating, and displaying our datasets. The user experience is seen here as an extension of the task of data curation. In the afternoon, we will use a number of different languages that work together to create an attractive and functional Graphical User Interface (GUI) for our data.

Go
HTML
JavaScript
R
UX Design
Data Curation
Corpus Building
GIF of the GUI in Topān
Topān employs a GUI built with R-Shiny so anyone can try topic modelling.

Thursday, 31 Jan 2019

Human Languages & Visualisations

There are several thousand languages spoken in the world today. To aid communication and be able to retrieve information from such a wide variety of sources, the computational processing of human languages is becoming more important. Today we will learn some basic Natural Language Processing (NLP) principles and analyses, and how to visualise the resulting high-dimensional data meaningfully.

Go
R
LDA Topic Modeling
t-SNE Visualisations
PCA Visualisation of a Topic in Ancient Greek
PCA visualisation of an LDA topic model of over 25 million words of Ancient Greek. The visualisation shows a topic that can be used to automatically detect all text nodes that deal with geometry.

Friday, 1 Feb 2019

Relationships & Maps

Understanding social networks and visualising information on geographical maps has been a digital humanities focus in the last decade. On the final day of the course, we will use the tool Gephi and the language R to visualise and analyse networks and geospatial data. Finally, we will look at how everything learned on days one to five can be brought together to create new knowledge.

R
Gephi
Social Network Analysis
Geospatial Analysis
Visualisation showing the percentage of potential first-home-buyer households with above-average leftover income after housing costs, as recorded by the Ministry of Housing and Urban Development.