This workshop focuses on the complexity of dynamics and kinetics in complex systems, such as proteins, in terms of the underlying multidimensional energy landscape, the network structure in the conformational, or, in general, state space, and various mathematical models of nature. We aim at having an interdisciplinary meeting that brings both theoretical and experimental researchers together from
different fields including time series analysis, energy landscape, statistical physics, network theory, and single molecule biophysics.

The main questions to be addressed are:

1. What are the current and next generation experimental advances to probe the dynamics and kinetics of complex biophysical systems, such as
single molecule spectroscopy and microscopy, cell imaging, multi-parameter measurements, and what are the desired analysis methods to
scrutinize the observed data?

2. What are the appropriate mathematical languages to model complex dynamics and kinetics from experiments or computer simulations? How can the mathematical models be constructed from scalar, multivariate or imaging (spatiotemporal) data?

3. What are the dynamical and thermodynamical signatures of the constructed models? The related subjects are, for example, diffusion properties, memory effects, the quantification of multiple pathways on the energy landscape and the complex network and its relations to the
information processing of molecules, equilibrium and nonequilibrium properties.

4. If the constructed models are complicated, e.g. in the conformational-space network, how can the essential features be extracted and represented, such as coarse-grained models, quantifying
the large scale structure of networks, identifying reaction coordinates and flux?