The CoSCo research group investigates computational problems related to complex systems, focusing on prediction and modeling tasks. The basic research areas addressed include machine learning, probabilistic modeling and data analysis, information theoretical approaches to inference and constraint reasoning and optimization. Central themes in the applied research include methods for analyzing and visualizing multidimensional and multimodal Big Data, intelligent information retrieval and context-awareness for ubiquitous computing. The group is a member of the Finnish Center of Excellence in Computational Inference Research (COIN).