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ISEK - Department of Social Anthropology and Cultural Studies Social and Cultural Anthropology

Complementary Methodological Training in the Social Sciences (PhD)

Successful social science practice requires sound methodological skills that enable students to keep up with formal, thematic, and methodological developments within the social science disciplines. To ensure that doctoral students in the social sciences remain academically compet-itive in the future, the Subject Board Social Sciences has decided to revise its complementary methods program (CMP).

Goals and Objectives

  • To strengthen and consolidate the academic performance of doctoral students in the social sciences.
  • To strengthen the interdisciplinary exchange among doctoral students in the social sciences.
  • To integrate methodological excellence into the research and teaching profiles of the partic-ipating departments (IKMZ, IPZ, ISEK, SUZ).

Course Structure

The CMP continues to be based on two types of courses:

  1. Ad hoc courses are based on the current needs of the doctoral projects and the interests of the doctoral students. The doctoral student representatives of the subject group regularly survey their needs and desires.
  2. Cyclical courses address software- and data-related changes that are increasingly shaping the social sciences. Knowledge transfer skills (Module E) are now also considered. Specifically, this includes the following recurring modules:

Modul A: From Program to Paper: How to Organize and Document Data and Analysis is dedicated to modern forms of work organization, data documentation, and publication. It forms the important gateway between empirical analysis and publication and serves the growing demand for replication in the social sciences.

Modul B covers techniques of modern quantitative data analysis:

  • R for Basic Social Science Statistics provides a practical introduction to basic statistical analysis techniques for survey and macro data. The didactic focus is on teaching application skills in R.
  • Advanced Social Sciences with R is designed to establish an advanced quantitative method culture based on the extended application potential of R in the area of complex digital data sets. In addition to computational social science techniques, approaches from network analysis or Bayesian statistics can be presented.

Modul C: Data Visualization deals with new models for visualizing data and research results. It addresses the paradigm shift from static, tabular presentations to graphical visualization of statis-tical and qualitative results (including moving images).

Modul D is dedicated to the specific needs of qualitative research:

  • Qualitative Data Collection and Analysis deals with qualitative methods and designs in social science research. It supports doctoral students in collecting non-standardized observation, text, image or video data and in extracting patterns and/or meanings from them. In addition to a focus on individual qualitative methods, in-depth options are also offered.
  • Ethnographic Writing helps doctoral students write about non-standardized observational, textual, image, or video data and the patterns and meanings derived from them in their research. Emphasis is placed on the relationship between method and representation, as well as on the political and ethical implications of textual representation.

Modul E: Resonance Skills helps doctoral students communicate their research for specific audiences. Writing strategies for publications in social science journals and/or specialist publishers, which are essential for academic qualification, are deepened. In addition, doctoral students are tested in dealing with different (news) media and how they can confidently contribute their specialist expertise to the public debate.

Course Organization

Courses are usually offered as workshops in block format. This form of organization creates space for the problem-oriented application of the material and thus creates added value for the individual dissertation project and/or the methodological training of the doctoral students.

In principle, 1 ECTS is awarded for each course. Depending on the amount of preparation and follow-up work, more ECTS may be awarded. For reference: 1 ECTS corresponds to 25-30 hours of work.

The language of the courses is usually English.

Courses are taught by internal and external lecturers who are qualified in both methodology and social sciences.

All courses are evaluated by the course participants. The PhD coordinator Social Sciences evaluates the surveys and makes them available to the course instructors for discussion with the participants and, if necessary, to the module coordinators. At the same time, they are digitally archived at the Graduate School Office.

All courses are published in the UZH course catalog and announced by the PhD coordinator Social Sciences.

The Subject Board Social Sciences reserves the right to change the content and/or structure of the CMP at any time.

Courses

Current

Archive

Fall Semester 2024

Spring Semester 2024

Fall Semester 2023

Spring Semester 2023

Fall Semester 2022