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Fascinating, multi-level, presentations and discussions.
Some points that have come to mind for me. Concerning Dervis' model, I was thinking how having the nodes have an internal structure, that is, each node would have a network structure -- self-similar structure -- would affect the dynamics... I think such an approach would connect nicely to the other presentations concerned with the multi-scale organization of the system.
Concerning the analysis of physiologic signals and the ability to extract different types of information, the site https://physionet.org contains a lot of useful information and may even include a community for discussion of issues (sadly, I haven't worked in this area for a while now).
Ingrid's talk has raised many interesting questions about the different types of models and their different purposes. My thought is that we need research occurring at all types of models with the understanding that each type can contribute to the others. For example, the parametrized, complex climate/ecological models enable us to conduct computational experiments that otherwise would be impossible. However, because of the complexity of the model it is impossible to gain insight on which specific experiments to conduct. Simpler, stylized models, that could be developed and tested against the complex models, could provide the insight to select what computational experiments to conduct.
Axiology is an extraordinarily interesting concept. Knowledge is a responsibility not a right for the Pueblo peoples. When we talk about resilience, what are the things we are valuing... Resilience of Pueblo peoples to colonial injuries: system had developed redundant relations that can prevent failure in case of injury to system.
Porter's talk reminded me of a study of mortality in Chicago some decades ago during a particularly extreme heat wave. Tow communities with similar socio-economic, ethnic and educational characteristics had very different outcomes -- the strength of the social networks was the aspect that distinguished the communities and the one that predicted the outcomes.