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In many areas of science, one has access to magnitude only measurements. Phase retrieval is the problem of recovering a signal from such measurements. Due to its practical significance in imaging science, numerous heuristics have been developed to solve such problems. Novel theoretical developments and exciting new algorithms and applications have led to a renewed interest in phase retrieval. The proposed minisymposium focuses on recent theoretical results showing the success of nonconvex optimization algorithms as well as spectacular recent research efforts in imaging applications. A special emphasis is on theoretical and algorithmic developments that are tightly related to real-world applications.