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Annual Conference for the Doctoral Programme in Political, Societal and Regional Change and the Doctoral Programme in Social Sciences
Digital methods of social and political research
Doctoral course: Digital methods of social and political research, 5 credit points
Teachers: Pertti Ahonen, Salla Laaksonen, Matti Nelimarkka
When: 27.04.2017 - 12.05.2017
How to register: weboodi code 79332
More information: https://courses.helsinki.fi/fi/79332/118493150
The purpose of the course is to enable learning about the principles of doing social and political research using digital methods.
The notion of digital methods refers here above all to examining phenomena online by means of conducting “digitally native” research that "thinks along" with devices and services (Rogers, 2013). Digital methods projects can be conducted either with available ready-made tools (e.g., DMI) or tools that the users constructs by such means as Python or R programming. We will offer introductory tools to the participants, and also build upon the more advanced skills that some of the participants may have.
After completing the course the participants will have general and practical knowledge on how to utilize digital methods and computational social science tools in their own research. The coverage of the course is selected from among approaches such as:
* Data extraction using scraping or DMI Tools (Digital Methods Initiative Tools)
* Text mining
* Network analysis
* Data visualization
* Working with larger data sets
* Scaling and classificatory approaches (covered only the time permitting)
This is a seminar principally targeted to doctoral students of the PYAM doctoral programme. In case there is space, also other doctoral students can enroll. However, PYAM students will have priority. See details on prerequisites below.
The classes are every day 9-16, with a lunch break around noon and briefer coffee and other breaks as agreed. The exception comprises the briefer final wrap-us session on 11 May 2017.
Registration in now open!
23.3.2017 klo 09:00 - 22.4.2017 klo 23:59