Digital Methods in Humanities and Social Sciences
August 24 - 27, 2020
University of Tartu
The third digital methods summer school aims to provide an introduction to data analysis and methodological principles for working with (digital) data in humanities and social sciences. There are four keynote lectures by leading experts in their fields and nine practical workshops focusing on, for example, data analysis and visualisation, agent-based modeling and web-scraping.
PhD and MA students and also supervisors from all fields of humanities and social sciences and also researchers and specialists working in relevant positions are invited to attend.
2 ECTS can be awarded for full participation. This means attending the keynote lecture and one workshop every day. Attendance is verified by signing the participation list.
There is no participation fee. Accommodation can be arranged for participating members of the organising graduate schools.
Due to the COVID-19 situation, the summer school will have online keynote lectures, limited participation and fewer social events.
The summer school is organised on the initiative of Centre for Digital Humanities and Information Society at University of Tartu (CDHIS) with the support from Graduate School of Linguistics, Philosophy and Semiotics; Graduate School of Culture Studies and Arts; Doctoral School of Behavioural, Social and Health Sciences; Doctoral School in Economics and Innovation.
Liina Lindström, Head of CDHIS, Professor of Estonian Language at University of Tartu, email@example.com
Andra Siibak, Professor of Media Studies at University of Tartu, firstname.lastname@example.org
Anu Masso, Associate Professor in Big Data in Social Sciences at Tallinn University of Technology / Senior Research Fellow of Data Studies at University of Tartu, email@example.com
Ann Siiman, Project manager at CDHIS, firstname.lastname@example.org
Peeter Tinits, Specialist of Digital Humanities, email@example.com
Andres Kimber, Project manager at CDHIS, firstname.lastname@example.org
The event is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).