  Many domains of science have developed complex simulations to describe
phenomena of interest. While these simulations provide high-fidelity models,
they are poorly suited for inference and lead to challenging inverse problems.
We review the rapidly developing field of simulation-based inference and
identify the forces giving new momentum to the field. Finally, we describe how
the frontier is expanding so that a broad audience can appreciate the profound
change these developments may have on science.
