The Galaxy Zoo (GZ) project has provided quantitative visual morphologies for
over a million galaxies, and has been part of a reinvigoration of interest in
the morphologies of galaxies and what they reveal about galaxy evolution.
Morphological information collected by GZ has shown itself to be a powerful
tool for studying galaxy evolution, and GZ continues to collect classifications
- currently serving imaging from DECaLS in its main site, and running a variety
of related projects hosted by the Zooniverse; the citizen science platform
which came out of the early success of GZ. I highlight some of the results from
the last twelve years, with a particular emphasis on linking morphology and
dynamics, look forward to future projects in the GZ family, and provide a quick
start guide for how you can easily make use of citizen science techniques to
analysis your own large and complex data sets.