  Synthetic observations are playing an increasingly important role across
astrophysics, both for interpreting real observations and also for making
meaningful predictions from models. In this review, we provide an overview of
methods and tools used for generating, manipulating and analysing synthetic
observations and their application to problems involving star formation and the
interstellar medium. We also discuss some possible directions for future
research using synthetic observations.
