For the 2025 edition of the MaxEnt conference, the focus will be the application of Bayesian inference and/or the maximum entropy principle to inference and inverse problems in various scientific and engineering domains. Inverse and uncertainty quantification problems emerge in a wide variety of fields, such as earth science, astrophysics, material and plasma science, geophysical and medical imaging, nondestructive testing, density estimation, remote sensing, Gaussian process regression, optimal experimental design, statistics, machine learning, and data mining. The conference invites contributions on all aspects of probabilistic inference, encompassing novel techniques and applications, as well as work that provides new insights into the foundations of inference.