The availability of large statistical databases characterizing biomolecular structures has stimulated a renewed interest in developing conceptual frameworks for characterizing biomolecular dynamics and connecting dynamical fluctuations to function. These theoretical frameworks include network kinetic models, chemical master equations, Markov state models, and generalized Langevin equation schemes. Systems of interest include the protein unfolding and refolding processes, biomolecular self-assembly of supramolecular structures such as viral capsids, phase separation and microdomain formation in multicomponent lipid membranes, and protein aggregation related to both functional and disease-related amyloid formation. Applications of the proposed framework include computer-aided drug development and biomaterial design. The format of the workshop will include brief presentations with substantial discussion, as well as scheduled guided discussions of "open questions" identified during the workshop. The target size for our meeting is 20 participants.