Comparing Social Science and Computer Science Workflow Processes for Studying Group Interactions

Journal Article (2017)
Author(s)

Joseph A. Allen (University of Nebraska–Lincoln)

Colin Fisher (University College London)

Mohamed Chetouani (Universite Pierre et Marie Curie (UPMC))

Ming Ming Chiu (The Education University of Hong Kong)

M Mehu (Webster Vienna Private University)

Hatice Gunes (University of Cambridge)

H.S. Hung (TU Delft - Pattern Recognition and Bioinformatics)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1177/1046496417721747
More Info
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Publication Year
2017
Language
English
Research Group
Pattern Recognition and Bioinformatics
Issue number
5
Volume number
48
Pages (from-to)
568-590

Abstract

In this article, a team of authors from the Geeks and Groupies workshop, in Leiden, the Netherlands, compare prototypical approaches to studying group interaction in social science and computer science disciplines, which we call workflows. To help social and computer science scholars understand and manage these differences, we organize workflow into three major stages: research design, data collection, and analysis. For each stage, we offer a brief overview on how scholars from each discipline work. We then compare those approaches and identify potential synergies and challenges. We conclude our article by discussing potential directions for more integrated and mutually beneficial collaboration that go beyond the producer–consumer model.

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