Digital Political Science Group
The Digital Political Science Group (DPSG) is a network of scholars who utilize digital methods for the analysis of large data sets – popularly known as 'Big Data'.
The group’s purpose is to forge new research agendas in Political Science through the application of state-of-the-art, Computer Science methods to both traditional data (such as that of the Danish registry) and digital trace data (made available through social media platforms like Facebook and Twitter). The methods employed by the group include Data Mining, Natural Language Processing (NLP), Computational Text Analysis, and Social Network Analysis (SNA).
The DPSG initiative offers an academic forum for researchers and students alike to exchange knowledge and best practices, organize events such as training workshops, and foster interdisciplinary collaboration between projects and across faculties.
Contact
Coordinator:
Frederik Hjorth
Mail: fh@ifs.ku.dk
Phone: +45 35 32 41 04
Read more about 'Big data'
Please visit Copenhagen Centre for Social Data Science (SODAS).
The centre serves as the basis for a dedicated interdisciplinary social scientific agenda in education and research.
Affiliated researchers
The following researchers are affiliated with the Digital Political Science Group (DPSG). Department of Political Science, University of Copenhagen.
Name | Title | Phone | |
---|---|---|---|
Golovchenko, Yevgeniy | Assistant Professor - Tenure Track | +4535333418 | |
Hjorth, Frederik Georg | Associate Professor | +4535324104 | |
Junk, Wiebke Marie | Assistant Professor - Tenure Track | +4535333812 | |
Rasmussen, Anne | Professor | +4535320503 |