The prediction of space environmental conditions and the mitigation of their impacts on life, society and its infrastructure are primary objectives of the discipline of space weather. Different types of space environments can affect different technologies. Examples of space weather impacts include: effects of geomagnetically induced fields and currents on power grids, satellite drag, satellite surface and internal charging, single event upsets, total dose effect, astronaut and aircrew exposure to space radiation, ionospheric scintillations, interference  with GPS signals and HF communications, etc.. There is a need to quantify space weather effects on technological and biological systems and to understand which aspects of spatial and temporal characteristics of space environmental parameters are the most important for specific impacts. Linking modern space environment models with engineering models, which estimate impacts, is not only an essential component of the end-to-end Sun-to-Impact prediction system, but also a key to defining appropriate validation methods and metrics tailored for specific applications. 
As space weather services become more advanced and service user awareness grows, increasing opportunities are developing for partnership between service users and the scientific community towards further understanding the effects of the space environment on operators’ systems, and using this information to support the development of tailored applications. If made available,  accessible space environment impacts databases could provide another important element that will facilitate assessment of space weather forecasting. 

The goal of this session is to facilitate bridging between space environment specification forecasting and applied aspects of space weather. As such, this session encourages presentations highlighting case studies of space weather effects on space and ground based systems. It will also focus on applications developed in collaboration with service users in order to monitor and predict these effects. Presenters are encouraged to highlight underpinning model development  including validation work and  space environment data used in each case, identifying the key parameters considered essential for their application, current availability, upcoming challenges and opportunities.