419
Digital Methods. Part I

Abstract Submissions Closed

Thursday, 25 February 2021: 14:15-15:45
Location:

RC33 Logic and Methodology in Sociology (host committee)

Language: English

Session Type: Oral


The session addresses advances both in qualitative and quantitative digital methods, including challenges of big data analysis and computational social sciences.

Papers should address one of the questions below either at a more general methodological level or using a concrete example in a specific research project:

  1. What methodological innovations concerning digital methods can be observed? Where is the highest need for developing methodological approaches for integrating digital methods into empirical social research?
  2. Which social phenomena are captured adequately by digital data, which are not? Which qualitative and/or quantitative digital methods are best suited for which kind of theoretical problems?
  3. How can fields and populations be defined when using digital methods? What are appropriate sampling procedures? How can biases be corrected and how can results be generalized?
  4. What are the advantages and disadvantages of specific digital data and how can their quality be assessed? When are traditional, non-digital methods better suited than digital methods? When are digital data better suited?
  5. How can digital data be analyzed? When are assumptions of traditional methods of analysis violated and what are more appropriate ways of analysis?
  6. When, why and how should methods be mixed?
Session Organizers:
Nina BAUR, Technische Universität Berlin, Germany, nina.baur@tu-berlin.de,
Lilli BRAUNISCH, Technische Universität Berlin, Germany, lilli.braunisch@innovation.tu-berlin.de,
Peter GRAEFF, Christian-Albrechts University Kiel, Germany, pgraeff@soziologie.uni-kiel.de
Malte SCHWEIA, Universität Kiel, Germany, mschweia@soziologie.uni-kiel.de
Recorded Presentation
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