== CALL FOR PAPERS == 5TH WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR BUSINESS PROCESS MANAGEMENT http://ai4bpm.inf.unibz.it in conjunction with the 19th Business Process Management Conference (BPM 2021) September 6 - 10, 2021, Rome, Italy The field of Artificial Intelligence (AI) continues to grow, with new and deeper techniques, and with applications across numerous areas. In the past few years, we have seen strong interest from both industry and academia in applying AI techniques in the area of Business Process Management (BPM). Indeed, the application of AI is impacting additional areas where process management perspectives and techniques are relevant, including industrial engineering, IoT, and emergency response, to name a few. The use of AI in BPM has been discussed as the next disruptive technology that will touch almost all the business process activities being performed by humans. In some cases, AI will dramatically simplify human interaction with processes, in other cases, it will extensively support humans in the execution of tasks, and, in yet other cases, it will enable full automation of tasks that have traditionally required manual contributions. Over time, AI may lead to entirely new paradigms for business processes and operations. For example, instead of BPM models centered on process or on case management, we anticipate models that are based fundamentally on goal achievement, as well as we anticipate models that fully enable continuous improvement and adaptation based on experiential learning. The goal of this workshop is to establish a forum for researchers and professionals interested in understanding, envisioning and discussing the challenges and opportunities of moving from current, largely programmatic approaches for BPM, to emerging forms of AI-enabled BPM. This workshop encourages papers describing original research and industrial experiences that explore how AI can be applied in BPM contexts. The workshop takes a broad view of both AI and BPM. == TOPICS OF INTEREST == The workshop welcomes submissions related to applications of AI for BPM, ranging from improvements on traditional approaches to BPM, to fundamental transformations in how business operates. This may include (but is not limited to) the following topics: - Machine Learning, including Deep Learning, to support workflow management - Process Mining augmented with AI techniques - Natural Language Processing in Business Process Management - Recommender systems for business processes - Constraint-based reasoning - Automation of exception handling - Agent-Based Modeling and Simulation for BPM - Virtual assistants to simplify interaction with processes - Goal-driven approaches to process management - Knowledge representation, management and reasoning on process specifications - Ontology-driven BPM - AI technology for BPM-related standards such as BPMN, CMMN and DMN - Application of AI to (Data-Driven) BPM - AI-based robotic process automation - AI-driven modelling and optimization of business processes - AI enablement for declarative and hybrid models - AI-based enrichment of IoT-enabled processes - Applications of automated planning techniques for BPM - Applications of AI for Blockchain-hosted processes - Applications of AI in industry-specific business processes (retail, e-commerce, finance, manufacturing, healthcare) - Non-traditional models and approaches to BPM that leverage AI - Social, economic, and business impacts of infusing AI into BPM Since the research area of AI for BPM is in its infancy, we especially encourage submissions that explore totally new directions, which step outside of the areas listed above. == SUBMISSIONS == Accepted submissions: - Research papers, up to 12 pages, describing original and novel research work, including research results and evaluations. Research papers should not have been published or submitted for publication elsewhere. - Experience papers, up to 12 pages, describing experiences with the novel application of AI techniques to BPM. Such papers should include clear descriptions of the motivations underlying the use of AI for BPM, the value obtained through the use of AI, and the challenges that needed to be overcome. Experience papers should not have been published or submitted for publication elsewhere. - Challenge Statements, at least 4 and up to 6 pages, presenting a position on issues related to the topics of the workshop. These statements would lead to interesting discussions by raising key questions, controversial point of views, challenges, and ideas to address the identified issues. The discussion session(s) will be based on one or more of the Challenge Statements received. Papers should be written in English, following the Springer LNCS format and will be published as Springer LNBIP post-proceedings. All submissions will be reviewed by at least three members of the AI4BPM International Program Committee.The submission process will be managed using the Easychair conference management system. According to Springer's policy, the acceptance rate will be lower than or at most equal to 50%. For inclusion in the workshop proceedings, at least one author per accepted paper must register and participate in the workshop. Depending on the quality of the submissions, we also consider publishing long versions of the papers in a journal Special Issue. == IMPORTANT DATES == - Workshop papers submission deadline: 24 May, 2021 - Notification deadline: 24 June, 2021 - Camera-ready deadline: 12 July, 2021 - Workshop: 6 September, 2021 == ORGANIZERS == Chiara Di Francescomarino, Fondazione Bruno Kessler, Italy Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy Arik Senderovich, University of Toronto, Canada Emilio Sulis, University of Turin, Italy == PROGRAM COMMITTEE == Han van der Aa, University of Mannheim, Germany Annalisa Appice, University of Bari, Italy Matteo Baldoni, University of Turin, Italy Federico Chesani, University of Bologna, Italy Marco Comuzzi, Ulsan National Institute of Science and Technology, Republic of Korea Francesco Corcoglioniti, Free University of Bozen-Bolzano, Italy Riccardo De Masellis, Uppsala University, Sweden Claudio Di Ciccio, Sapienza University of Rome, Italy Joerg Evermann, Memorial University of Newfoundland, Canada Stephan Fahrenkrog-Petersen, Humboldt University of Berlin, Germany Francesco Folino, CNR, Italy Krzysztof Kluza, AGH University of Science and Technology, Poland Henrik Leopold, Kuhne Logistics University, Germany Francesco Leotta, Sapienza University of Rome, Italy Paola Mello, University of Bologna, Italy Roberto Micalizio, University of Turin, Italy Hamid R. Motahari Nezhad, IBM Almaden Research Center, USA Artem Polyvyanyy, University of Melbourne, Australia Luigi Pontieri, CNR, Italy Andrey Rivkin, Free University of Bozen-Bolzano, Italy Williams Rizzi, Fondazione Bruno Kessler, Italy Tijs Slaats, University of Copenhagen, Denmark Heiner Stuckenschmidt, University of Mannheim, Germany Irene Teinemaa, Booking.com, the Netherlands Daniele Theseider Dupre', University of Eastern Piedmont, Italy Hagen Voelzer, IBM Zurich Research Lab, Switzerland Matthias Weidlich, Humboldt University of Berlin, Germany == MORE INFORMATION == Visit the workshop website http://ai4bpm.inf.unibz.it/ for detailed submission information.