The workshop, organized by Kimmo Kaski, will take place at the Complexity Science Hub Vienna in Room 201.
Social Informatics or Data-driven Social Sciences represents a new transdisciplinary field of research that focuses on studying societal-scale social phenomena in interplay with today’s increasingly socially-centric and multi-channelled information communication technology (ICT) based platforms. The goal of Social Informatics is on one hand to understand the anatomy, i.e. the structure, dynamics and functions, of human social connectomes or networks and on the other hand to create better understanding of socially-centric platforms not just as a technology, but also as a set of social phenomena as well as of the roles of information technology in social and organizational change, the uses of information technologies in social contexts, and the ways that the social organization of information technologies is influenced by social forces and social practices.
Such understanding is crucial in applying information technology in the study of social phenomena, in applying social concepts in the design of information systems, in applying methods from the social sciences in the study of social computing and information systems, in applying computational analytics and modelling to facilitate the study of social systems and human social dynamics, and in designing information and communication technologies that consider social context. Social Informatics relies on the analysis of large scale datasets on human interaction and social dynamics and their computational modelling, thus being interdisciplinary and combining methodologies of Social Sciences, Management Sciences, Computer Science, Informatics, and Physics.
Find the agenda HERE