Digital Humanities, Gender studies, History, Media studies, Performance Studies, Social anthropology, Sociology

Course date

15 July - 23 July, 2019
14 February, 2019
Course Director(s): 

Jessie Labov

Center for Media, Data and Society, Central European University, Budapest, Hungary

Piotr Wciślik

Digital Humanities Centre at the Institute of Literary Research of the Polish Academy of Sciences (CHC IBL PAN), Warsaw, Poland
Course Faculty: 

Estelle Bunout

Luxembourg Centre for Contemporary and Digital History (C²DH)

Katalin Cseh-Varga

Department for Theatre, Film and Media Studies, University of Vienna, Austria

Maciej Maryl

Digital Humanities Centre at the Institute of Literary Research of the Polish Academy of Sciences (CHC IBL PAN), Warsaw, Poland

Geert Kessels

Lab1100, The Hague, The Netherlands

Pim van Bree

Lab1100, The Hague, The Netherlands
This 7-day seminar in digital humanities research methods is designed to expose a new generation of scholars in Cold War history and culture to methods of analysis and discovery involving computational techniques. Designed and run by NEP4DISSENT (New Exploratory Phase in Research on East European Cultures of Dissent, nep4dissent.eu), COST Action 16213, the inspiration for the course is built around the transfer of knowledge from technologists and data scientists to humanists. In the course of the 7-day session the participants will have hands-on experience with the entire life cycle of a digital humanities project design, leading to a single, tangible outcome in the form of a fully searchable and interactive dataset usable for art-curatorial purposes. 
 
Before the session begins, we will identify three or four overlapping collections of digitized historical resources and participants will be encouraged to bring in complementary research materials. During our course, we will further process, curate, and analyze these collections, creating a dataset in the Nodegoat online research environment (nodegoat.net) and a full-text corpus of a selection of the materials. From this point we will teach/demonstrate/practice the relevant visualization methods: mapping, network analysis, text analysis, possibly laying the groundwork for an interactive exhibit. Participants in the course will be able to observe and practice the whole process of data curation and analysis, but more importantly, discuss the research implications of our decisions at every stage.
 
No prior knowledge of any computational methods, or even data-driven approaches to research are expected from the participants. However, we will be targeting scholars, librarians/archivists,  and art and cultural heritage curators,  who can bring first-hand knowledge of the main research area.
 
Participants will be expected to have either:
a) carried out a medium- to large-scale research project on a related topic;
b) have a clearly articulated interest in adding a digital component to their research design; or 
c) worked extensively as an archivist or curator with materials related to this topic.