  Galactic Archaeology, i.e. the use of chemo-dynamical information for stellar
samples covering large portions of the Milky Way to infer the dominant
processes involved in its formation and evolution, is now a powerful method
thanks to the large recently completed and ongoing spectroscopic surveys. It is
now important to ask the right questions when analyzing and interpreting the
information contained in these rich datasets. To this aim, we have developed a
chemodynamical model for the Milky Way that provides quantitative predictions
to be compared with the chemo-kinematical properties extracted from the stellar
spectra. Three key parameters are needed to make the comparison between data
and model predictions useful in order to advance in the field, namely: precise
proper-motions, distances and ages. The uncertainties involved in the estimate
of ages and distances for field stars are currently the main obstacles in the
Galactic Archaeology method. Two important developments might change this
situation in the near future: asteroseismology and the now launched Gaia. When
combined with the large datasets from surveys like RAVE, SEGUE, LAMOST,
Gaia-ESO, APOGEE , HERMES and the future 4MOST we will have the basic
ingredients for the reconstruction of the MW history in hands. In the light of
these observational advances, the development of detailed chemo-dynamical
models tailored to the Milky Way is urgently needed in the field. Here we show
the steps we have taken, both in terms of data analysis and modelling. The
examples shown here illustrate how powerful can the Galactic Archaeology method
become once ages and distances are known with better precision than what is
currently feasible.
