The project is devoted to the development of statistical methods specifically designed for analysing different types of ecological networks: trophic, mutualistic, competition or antagonistic and host-parasite systems. We propose to create a unique consortium of researchers combining applied statisticians with long-standing experience on life-science modeling and ecologists at the forefront of their domain to tackle the challenges posed by the advanced statistical modeling of ecological networks. Our proposal includes 1) integrating space and time dimensions in ecological networks modeling and developing tools for the comparison of networks along environmental gradients; 2) integrating multiple types of interactions, taking advantage of covariate information (such as species traits, distributions, phylogenies and environmental variables) when available; 3) incorporating sampling effects in our analyses and 4) providing predictions on ecosystem response to environmental changes.