Occupancy models are frequently used to understand wildlife species distributions, interactions, and the factors that influence them. These models estimate the true proportion of sites where a species is present while also estimating the probability of detection, which is often imperfect and variable. In recent years, advancements have extended the applicability of occupancy models for new ecological contexts. In this talk, we will first provide an overview of occupancy models and then highlight advances in the field which could have valuable utility in the field of entomology. The advances that we focus on include occupancy models that allow/account for 1) species misidentification, 2) community occurrence dynamics, and 3) integration of multiple data sources of varying quality. These and other occupancy models will be useful in addressing entomological questions across a variety of systems and settings.