Our research is part of evolutionary graph theory, which studies how populations evolve when individuals are connected in a network. We focus on the spread of mutations in structured populations. In particular, we study a version of the Moran process where individuals can have some form of sensing and can choose their strategy based on what they sense. This sensing can be local — for example, avoiding the same type when spreading — or global, where individuals observe the entire graph and apply a strategy depending on the full population configuration.