New Frontiers in Analyzing Dynamic Group Interactions

Bridging Social and Computer Science

Journal article (2017)

Authors

Nale Lehmann-Willenbrock Universiteit van Amsterdam
H.S. Hung Pattern Recognition and Bioinformatics - EEMCS
Joann Keyton University of North Carolina
Research Group
Pattern Recognition and Bioinformatics (EEMCS) (TU Delft)
Copyright: © 2017 Nale Lehmann-Willenbrock, H.S. Hung, Joann Keyton
DOI
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https://doi.org/10.1177/1046496417718941
Interdisciplinary collaboration Group and team dynamics Interaction processes Social science and computer science
More Info
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Published Date

2017

Language

English

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Pattern Recognition and Bioinformatics

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.