The Doctoral Consortium pursues the objectives to provide valuable feedback and guidance to PhD students from experienced researchers, and to promote the development of a community of scholars including both peers and mentors for future careers. Each of the received submissions has been evaluated by the committee. As a result, nine students’ research proposals were accepted. The topics covered by these proposals tackle open process mining challenges from different perspectives, spanning over prescriptive analytics, deviation detection, pattern exploration, simulation, root-cause analysis, log extraction, trace clustering, and alignments of user-interface logs. The PhD students and senior researchers discussed the presented projects, their d...