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- Fundamental Concepts of ASI: statistical modelling, types of variables, and additional key variables
- New Advances in progress, stability indices, extension to new types of variables, rules of exception, duality (space of subject- space of rules), metrical structure and topology of space led by their contribution to the subjects or their typicality, vector analysis, etc.)
- Comparison of critical processes, models, representations and the results of the ASI with other methods of data analysis (Galois lattices, Bayesian networks, trees induction, factorial analysis, etc.)
- Practice with the software CHIC, current and expected developments
- Applications processed by ASI and comparison with other methods, in the areas of education, science education, psychology, sociology, economics, art history, biology, medicine, archaeology, etc.
- graphical presentation of results and numerical applications, aid the interpretation of these results, respective roles and critics of the types of variables, the main variables and supplementary choices
- Specificity of training with the ASI: use of software CHIC, interpretation of graphical representations (implicative graph, tree hierarchy cohesive)
- Issues of teaching in ASI
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