theoretical and application-driven research in data mining: graph mining, finding dense subgraphs, mining labeled and temporal networks, network alignment, network inference discovering hidden structure, e.g., hierarchies, information propagation and opinion formation in social networks, team formation. Applications: mining social media, e.g., studying propagation of news and urban informatics, e.g., characterizing city neighborhoods.