Visualizing Humanities and Social Analytics

2018-2019

Course Objective

• Students will become familiar with the methods, concepts and practices
of data visualization in Digital Humanities and Social Analytics
• Students will learn to critically reflect on the implications of the
selection, structuring and manipulation of data as well as the choice of
visualization techniques to present the outcomes of research projects.
• Students acquire practical skills in data visualization techniques
including the quantitative analysis of textual data (e.g. (social) media
data) through AmCAT and R.
• Students will learn to apply their knowledge and skills by developing
their own research projects around a given dataset, formulate relevant
questions and use visualizations for their analysis.
• Students will be able to position their own work in the field of
Digital Humanities and Social Analytics.
• Students will learn to collaborate in an interdisciplinary group,
manage group processes, and communicate their results to an audience of
peers and teachers.

Course Content

This course will offer analytical and practical training in digital
visualization techniques, placed in the broader scope of Digital
Humanities and Social Analytics. In terms of critical reflection and
theory this is a more advanced course within the Minor Digital
Humanities and Social Analytics.

Visualization of data plays an important role in exploring and analysing
quantitative data deriving from large and complex datasets, such as
relational databases and text corpora varying from 17th century
literature to newspaper archives to tweets. Visualizations can be used
both to present the end results of research projects as well as to
support all phases of the hermeneutic cycle of questioning, searching,
aggregating and analysing data. They may reveal patterns and provide
leads for new research questions. In this course students will become
familiar with visualizations in R and learn to reflect critically on the
way they can be used.

An important part of the classes will entail practical training in the
processing of data. You may use the dataset you worked on in the course
‘From Object to Data’. This course invites you to develop your own
research around a topic of your choice. The visualization of textual
data will help you to manage and analyse large corpora of texts. You
will define and investigate a research question, learn how to structure
data and how to uncover patterns in your data through visualization. At
the end of the course you will be able to use attractive visualizations
to present your research results in both oral and written
communications.

Teaching Methods

Seminar, 2 x 2 hours / week

Method of Assessment

Participation, assignments and oral presentation (40%), research paper
(60%)

Literature

T.B.A.

Target Audience

Students who take the University Minor ‘Digital Humanities and Social
Analytics’. As long as there are available places, we welcome other
students of all disciplines, including international exchange students.
Please contact the coordinator in advance.

Additional Information

This course is part of the minor Digital Humanities and Social
Analytics.

Recommended background knowledge

This course is designed for students who take the minor Digital
Humanities and Social Analytics. For other students it would be helpful
to familiarize with the basics of digital data in advance. Please
contact the instructors for more information and advice.

General Information

Course Code L_AABAALG066
Credits 6 EC
Period P2
Course Level 300
Language of Tuition English
Faculty Faculty of Humanities
Course Coordinator dr. H.M.E.P. Kuijpers
Examiner dr. H.M.E.P. Kuijpers
Teaching Staff dr. H.M.E.P. Kuijpers
prof. dr. I.B. Leemans
dr. W.H. van Atteveldt

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar
Target audiences

This course is also available as: