Networks have become the paradigmatic representation of the complexity of natural and humandominated
environments, whose dynamics is the result of the multiplicity of interactions between
their many components. Networks have been used to represent and investigate species and their
relationships (ecological networks), social interactions (social networks), protein interactions and
gene regulatory mechanisms (biological networks). The last frontiers of ecological and social research
identify networks as the ideal means to understand the nature of these systems and their dynamics,
which is full of counterintuitive behaviors and feedbacks. Moreover, the two domains interact: social
relationships, paradigms and attitudes shape policies through which human enterprises manage and
affect nature. It is thus important that social and ecological networks are seen as integrated in a socialecological
realm so that causes and effects of environmental changes can be really understood. The
summer school aims to introduce network analysis to graduate students and early postdocs but
participation is possible to anyone who has interest in studying networks: from data collection to
theoretical analysis, using a wide array of network types (food webs, ecosystem models, social
networks and protein interaction networks) as well as mathematical and statistical tools to investigate
them. From this year on, the school intends to focus on network applications to investigate socialecological


Program of the School