Biodiversity loss is one of the most pressing environmental problems, impacting ecosystem functions, human and wildlife health, and community dynamics. Assessing the impacts of ongoing climate and anthropogenic-induced changes on wildlife populations requires understanding species distributions, abundances, and declines across large spatial and temporal scales. Yet, estimating the precise ecological and environmental reasons for changes in population dynamics is challenging because such species tend to be rare, which makes obtaining sufficient data for traditional analyses difficult. In particular, demographic data on small or declining populations are often scarce because collection is intermittent and typically necessitates long study periods, and sample sizes are naturally low. These conditions result in limited longitudinal data to model population viability, extrapolate inference at large scales, and detect significant changes in region-wide population trends within time frames for appropriate conservation actions. Integrative models provide a powerful method for overcoming issues of sparse, fragmentary data by utilizing all available information on a target population. Integrative modeling generally refers to the incorporation of multiple (1) data types on a single target population, (2) analytical models or methods, or (3) predictions from multiple theories into a model, thus ‘integrating’ several goals into a single modeling framework. The primary advantages of integrative frameworks are (1) the ability to compensate for variability in data collection by reducing biases inherent in a single dataset, and (2) improved precision of parameter estimates than can be obtained from separate analyses. In this session, we present emerging methods to estimate population trajectories and demographic rates for species of conservation concern using modern integrative modeling approaches. Recent applications of integrative models have led to critical advancements in population management and greater understanding of the drivers of population dynamics and declines. Our session examines the elements, advantages, novel insights, and recent extensions of integrative modeling approaches for enhancing inference on the ecology of threatened and endangered populations. Speakers will present on a variety of integrative modeling approaches applied to conservation-focused case studies, including integrated population modelling (IPM), coupled agent-based modelling, and hierarchical Bayesian modelling incorporating citizen science data. Individual talks will demonstrate how integrative models allow for better detection of population declines, prioritization of populations of conservation concern, improvement of monitoring schemes, and adjustment of management strategies. This organized oral session will serve as a general overview of options for researchers interested in applying or extending integrative modeling approaches.