Three Barriers to Understanding Norms: Levels, Dynamics and Context

Abstract

A series of authored and edited monographs that utilize quantitative and computa-tional methods to model, analyze, and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication tech-nology and social behavior and norms, in connection with emerging issues such as trust, risk, security, and privacy in novel socio-technical environments. Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fi elds such as dynamical systems, artifi cial intelligence, network theory, agent-based modeling, and statistical mechanics are invoked and combined with state-of-the-art mining and analysis of large data sets to help us understand social agents, their interactions on and offl ine, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and confl icts, socio-technical co-evolution, and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifi cally aimed at communicating new fi ndings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this fi eld may be discerned, hence leading to deeper insight and understanding.