A detailed and accurate assessment of effects of air pollution both on human health and ecosystems is an essential requirement for the development of effective and efficient environmental policy actions. Advanced methods for an improved quantification of the impact pathway (using the DPSIR approach), in particular aspects of the temporal and spatial distribution of stressors and receptors provide key building blocks for the scientific underpinning of policy decision making. However, current policies often rely on comparatively crude, static indicators, which have the potential to under- or overestimate effects significantly. In addition to that, methods for the spatio-temporal assessment of air pollution effects are quite similar for human health and ecosystems, yet research into both areas is often disconnected and synergies could be achieved by a more integrated approach. This session aims at attracting model developers as well as practitioners and policy decision makers, to foster a discussion around the availability of, and need for, more integrated and advanced techniques to deliver better and more detailed assessments of air pollution effects on human health and ecosystems. These techniques include, but are not limited to, the application of GIS tools, models to assess ecosystem effects and recovery, tools to quantify the interaction between ecosystem services and human health and well-being and integrated assessment models.