Scientific / technical meeting covering astronomy & astrophysics, space computing & autonomy. Despite constituting the majority of matter in the Universe, dark matter remains one of the most fundamental open problems in modern physics. Dark matter plays a central role in structure formation, galaxy evolution, and cosmology, with compelling evidence arising from galaxy rotation curves, gravitational lensing, cosmic microwave background anisotropies, and large-scale structure measurements. Over the past decades, major progress has been achieved through the combined efforts of observations, numerical simulations, and experimental searches. Galaxies, large-scale structure, and particle-physics experiments now provide complementary constraints on the nature of the dark sector. At the same time, direct and indirect detection experiments have yet to identify the underlying particle nature, while small-scale tensions and emerging observational discrepancies challenge aspects of the standard cosmological paradigm. In this rapidly evolving context, new interdisciplinary approaches are required. This focused workshop aims to bring together experts from cosmology, galaxy evolution, particle physics, and data science to foster dialogue across traditionally separated communities. Particular emphasis will be placed on the interplay between observations, simulations, and experiments, as well as on the growing role of data-driven methodologies such as machine learning and simulation-based inference. This workshop seeks to address the key questions listed in the following. How accurately can we map the dark matter distribution in the Universe? Do galaxies confirm ΛCDM predictions? Is the high redshift Universe presenting new challenges for ΛCDM? Are detection strategies targeting the correct parameter space? Are alternative models required? How can modern data science accelerate discovery?