Natural and engineered systems that consist of ensembles of isolated or interacting dynamical components exhibit levels of complexity that are beyond human comprehension. These complex systems often require an appropriate excitation, an optimal hierarchical organization, or a periodic dynamical structure, such as synchrony, to function as desired or operate optimally. In many applications, the dynamics of such ensemble systems can be regulated by the application of a single or sparsely distributed external inputs in order to alter their state configurations or dynamic structures; for example, the application of electromagnetic fields to excite quantum ensembles, the modulation of light protocol to adjust clocks of a population of circadian cells, and invasive and noninvasive neuro-stimulation for the treatment of neurological disorders. This control paradigm gives rise to challenging problems regarding robust control of under-actuated ensembles. At the other side of the spectrum, there has also been great interest in state and parameter estimation problems for populations. In many applications, such as in cell biology or quantum systems, a frequently met task is to extract information about the exact distribution of the ensemble from distributional or snapshot data. This problem of ensemble observability also forms a key concept of a coherent theory of ensembles of dynamical systems. In this workshop, we will offer a survey of emerging techniques and research problems in the field of Ensemble Control. Emphasis will be placed on both recent theoretical developments and emerging applications at the interface between systems science and control engineering, physics, neuroscience, and biology.