Biological systems are inherently complex and exhibit unexpected dynamics. This complexity is associated with different level of cellular organization, as genes, signaling networks and cells have to be simultaneously regulated in the tissue. But the overall tissue level response is not just an average of individual cells. A tissue response is a result of unexpected dynamics and complex interactions between all individual components. A more quantitative understanding of these complex processes is key to understand and treat out-of-control responses associated with many autoimmune and inflammatory diseases. My specific aim is to understand how a set of cellular and molecular cytokine networks controls propagation and resolution of inflammatory signaling in time and space. In order to achieve this new quantitative picture we employ systems biology approaches that combine mathematics, live-cell microscopy and immunology.