Complex Systems Computation Research Group (University of Helsinki and
Helsinki Institute for Information Technology) investigates
computational modeling issues in complex sytems, and the
related implementation aspects, focusing on prediction and model
selection tasks. The research areas addressed include probabilistic
modeling and data analysis, information theoretical approaches to
inference, theoretical and empirical validation of on-line prediction
algorithms, and the theory of case-based reasoning. The work has both
a strong basic research component, being at the intersection of
computer science, information theory and mathematical statistics, and
an applied component where the results are used for solving problems
in various disciplines from social sciences, criminology, ecology and
medicine to industrial engineering. Focus areas in the applied
research include next generation information retrieval for the
internet, context-awareness for ubiquitous computing, technology for
networked learning environments, modeling for location-aware services
and sensor networks. Related to these activities, CoSCo maintains
several Web-services including the B-Course data analysis server
(http://b-course.hiit.fi/) and MDL research page
(http://www.mdl-research.org). International and nationtal cooperation
includes joint work with University of California, Berkeley (USA),
Tsinghya University (People's Republic of China), CWI (the
Netherlands), CERN (Switzerland), Media Lab Europe (Ireland),
University of Tampere (Finland), and with the various institutes of
the EU PASCAL Network of Excellence.