We are interested in studying social, organisational, biological and living systems.

Our Complex Systems Research Group focuses on social networks theory and analytical methods, coordination theory, socio-biology, non linear systems dynamic theory, chaos theory and complexity theory in organisations, complex adaptive systems theory and self-organisation theory and its applications in domains such as computer supported cooperative work; human and computer interactions; modelling disaster preparedness, exploring safety and standard of practice of global mining teams, modelling self organised fraud claims in insurance and finance in capital markets, exploring the effects of social network structure and technology use for the delivery of quality and standards to care for general practitioners, modelling complex and dynamic emergency medical coordination teams, understanding the impact of social networks on innovation and diffusion, and medical and public health field such as exploring the spread of disease (i.e., STD, AIDS, SARS) through social networks.

We use methods and analytical techniques from mathematical sociology (i.e., social networks analysis), social anthropology (i.e., interview and field studies), computer science (i.e., information visualisation, graph theoretic approaches and data mining techniques such as clustering) to explore coordination problems in a dynamic, distributed and complex setting.