  The paper presents some models for the propensity score. Considerable
attention is given to a recently popular, but relatively under-explored setting
in causal inference where the no-interference assumption does not hold. We lay
out some key challenges in propensity score modeling under interference and
present a few promising models based on existing works on mixed effects models.
