- Methods for estimation of parameters to use in our models.
- Sampling designs for monitoring and measuring quantities relevant to
sustainability. - Data fusion methods for integrating diverse datasets.
- Computer experiment methods to help us deal with sustainability data
and models. - Model diagnostics for complex, hierarchical models.
- Model assessment tools for integration or comparison of multiple
models. - New methods of developing and applying complex networks and
network theory.
Methods to address these challenges should be developed in the context of
dynamic spatio-temporal models.