  This chapter focuses on the derivation of a doubly nonlocal Fisher-KPP model,
which is a macroscopic nonlocal evolution equation describing population
dynamics in the large population limit. The derivation starts from a
microscopic individual-based model described as a stochastic process on the
space of atomic measures with jump rates that satisfy detailed balance w.r.t.
to a reference measure. We make use of the so-called `cosh' generalized
gradient structure for the law of the process to pass to the large population
limit using evolutionary Gamma-convergence. In addition to characterizing the
large population limit as the solution of the nonlocal Fisher-KPP model, our
variational approach further provides a generalized gradient flow structure for
the limit equation as well as an entropic propagation of chaos result.
