The next generation of galaxy surveys is aiming at combinations of
multiple tracers and even different messengers as a tool to map cosmic structures. I will discuss the advantages and limitations of the multi-tracer
technique, and some new results in the context of the natural
framework for observations -- the past light cone.
I will also present some interesting new results and perspectives for
machine learning in the realm of astrophysics and cosmology.