Collaboration Analytics — Current State and Potential Futures
Bertrand Schneider, Nia Dowell, Kate Thompson
Abstract
This special issue brings together a rich collection of papers in collaboration analytics. With topics including theory building, data collection, modelling, designing frameworks, and building machine learning models, this issue represents some of the most active areas of research in the field. In this editorial, we summarize the papers; discuss the nature of collaboration analytics based on this body of work; describe the associated opportunities, challenges, and risks; and depict potential futures for the field. We conclude by discussing the implications of this special issue for collaboration analytics.
Topics & Concepts
Futures contractLearning analyticsData scienceAnalyticsField (mathematics)Computer scienceWork (physics)Data collectionSoftware analyticsCultural analyticsManagement scienceEngineering ethicsKnowledge managementWorld Wide WebSociologyEngineeringSemantic analyticsSoftwareBusinessSocial scienceMathematicsProgramming languageSoftware systemFinanceMechanical engineeringWeb serviceData WebSoftware constructionPure mathematicsOnline Learning and AnalyticsSoftware System Performance and ReliabilityAdvanced Graph Neural Networks