The IDAMAP series is devoted to computational methods for data
analysis in medicine, biology and pharmacology that present results of
analysis in the form communicable to domain experts and that somehow
exploit knowledge of the problem domain. Such knowledge may be available
at different stages of the data-analysis and model-building process.
Typical methods include data visualization, data exploration, machine
learning, and data mining.
Gathering in an informal setting, colloquium participants will have the opportunity to meet and discuss selected technical topics in an
atmosphere which fosters the active exchange of ideas among researchers and practitioners. The colloquium is intended to be a genuinely interactive event and not a mini-conference, thus ample time will be allotted for general discussion. A student challenge on data integration will be organized. Author of the best solution will be invited to present the work at the workshop.