New Frontiers in Analyzing Dynamic Group Interactions

Bridging Social and Computer Science

Journal Article (2017)
Author(s)

Nale Lehmann-Willenbrock (Universiteit van Amsterdam)

Hayley Hung (TU Delft - Pattern Recognition and Bioinformatics)

Joann Keyton (University of North Carolina)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.1177/1046496417718941
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)
519-531
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Abstract

This special issue on advancing interdisciplinary collaboration between computer scientists and social scientists documents the joint results of the international Lorentz workshop, “Interdisciplinary Insights into Group and Team Dynamics,” which took place in Leiden, The Netherlands, July 2016. An equal number of scholars from social and computer science participated in the workshop and contributed to the papers included in this special issue. In this introduction, we first identify interaction dynamics as the core of group and team models and review how scholars in social and computer science have typically approached behavioral interactions in groups and teams. Next, we identify key challenges for interdisciplinary collaboration between social and computer scientists, and we provide an overview of the different articles in this special issue aimed at addressing these challenges.