This project investigates how context information can be used to manually and semi-automatically adapt shared workspaces. For that purpose, we develop a context model and representation for distributed knowledge-intense processes. Based on this context model, we define adaptation and tailoring methods which are implemented and tested in the shared workspace. On the content layer, we focus on supporting cooperation processes as well as on structuring the shared information in the workspace. On the adaptation and tailoring layer, we improve adaptation and tailoring methods such that the users together with the shared workspace can steadily improve themselves. The project is part of the CONTici cluster project funded by the Deutsche Forschungsgemeinschaft (DFG). The overall goal of the cluster project is to develop and research context adaptive systems for knowledge-intense processes.