  The IMAGINE Consortium aims to bring modeling of the magnetic field of the
Milky Way to a next level, by using Bayesian inference. IMAGINE includes an
open-source modular software pipeline that optimizes parameters in a
user-defined Galactic magnetic field model against various selected
observational datasets. Bayesian priors can be added as external probabilistic
constraints of the model parameters. These conference proceedings describe the
science goals of the IMAGINE Consortium, the software pipeline and its inputs,
viz observational data sets, Galactic magnetic field models, and Bayesian
priors.
