Model Visualization  Project proposed by Jean-Bernard Martens of
the TU/e Department of Industrial Design, in consultation with
Jack van Wijk from the TU/e Department of Mathematics and
Computing Science.  Data visualization offers a lot of different
methods for exploring data. Many of these methods are generic,
in the sense that they do not make many explicit assumptions
about the structure underlying the data. In cases where such
more explicit assumptions can however be made, trying to model
the data is the obvious next step. Often, a class of related
models rather than a single model is considered. This creates
two interrelated problems. First, the user needs a way to
intuitive specify which specific model(s) he wants to apply.
This implies that the models themselves need to be visualized so
that the user can understand them and can make model choices in
an intuitive (and interactive) way. Second, the user needs to be
able to assess if the model predictions are in agreement with
observed data. A diversity