This dissertation discusses observing causality within point processes. Firstly, a novel hypothesis test for distinguishing between inhomogeneity and causal clustering is described,
validated on simulations, and then used in shooting data. Next, the hypothesis test is also
applied to temporal disease data to identify social contagion mechanisms. Lastly, a discus
sion of a novel potential outcomes framework as applied to point process data is defined and
applied to simulated data.