  An increasing number of complex systems are now modeled as networks of
coupled dynamical entities. Nonlinearity and high-dimensionality are hallmarks
of the dynamics of such networks but have generally been regarded as obstacles
to control. Here I discuss recent advances on mathematical and computational
approaches to control high-dimensional nonlinear network dynamics under general
constraints on the admissible interventions. I also discuss the potential of
network control to address pressing scientific problems in various disciplines.
