Topics: MaxEnt’22 strives to present Bayesian inference and Maximum Entropy methods in data analysis, information processing and inverse problems from a broad range of diverse disciplines: Astronomy and Astrophysics, Geophysics, Medical Imaging, Molecular Imaging and genomics, Non Destructive Evaluation, Particle and Quantum Physics, Physical and Chemical Measurement Techniques, Economics and Econometrics. This year special interest will be on Geometric Structures of Heat, Information and Entropy.