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.