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Call for Papers

ICPM 2021
3rd International Conference on Process Mining
October 31 - November 4, 2021

https://icpmconference.org/2021/

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The International Conference on Process Mining (ICPM) is the premium forum for researchers, practitioners and developers in process mining. The objective is to explore and exchange knowledge in this field through scientific talks, industry discussions, contests, technical tutorials and panels. The conference covers all aspects of process mining research and practice, including theory, algorithmic challenges, applications and connections with other fields.

The conference is technically co-sponsored by the IEEE Computational Intelligence Society, and supported by the IEEE Task Force on Process Mining.

Process mining is an innovative research field that focuses on extracting business process insights from transactional data commonly recorded by IT systems, with the ultimate goal of analyzing and improving organizational productivity along performance dimensions such as efficiency, quality, compliance and risk. By relying on data rather than perceptions gained from interviews and workshops, process mining shifts the way of thinking from "confidence-based" to "evidence-based" business process management. Thus, process mining distinguishes itself within the information systems domain by its fundamental focus on understanding, analyzing, and improving business processes based on process data.

Current process mining challenges include scalability, i.e., dealing with volume, velocity and variability of input data, especially in real-time/online settings using event streams; approximation, i.e., balancing computation time with accuracy; understandability and explainability, i.e., providing easy-to-understand and explainable analytics; multi-perspective analysis, i.e., considering data, resources and time beyond the process control flow; measurability, e.g., providing a comprehensive framework for measuring differences between observed and modelled process behavior, and ethical and confidential aspects of process mining, i.e., how to ensure that process mining procedures and results do not violate ethical and privacy principles.

ICPM 2021 will take place on October 31st-November 4th at the Campus of the Eindhoven University of Technology, The Netherlands.

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TOPICS FOR RESEARCH PAPERS
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ICPM 2021 encourages papers on new methodologies, techniques and applications for process mining, as well as case studies coming from industrial scenarios. Also, papers describing novel tools, fundamental research and empirical studies on process mining are expected. For the sake of replicability of the presented studies, the addition of supplementary resources is strongly encouraged, such as: used datasets, a publicly accessible implementation for new techniques, experimental packages for empirical studies. The use of novel, previously unpublished datasets is most welcome. Research on existing datasets must clearly showcase the novelty or unprecedented results of the applied analysis.

Selected, accepted research papers will be considered for publication in an extended and revised form in a special issue of Information Systems, edited by Elsevier.

The thematic areas in which contributions are sought include, but are not limited to, those listed below.

Process mining techniques:
* Automated Discovery of Process Models
* Conformance/compliance Analysis
* Construction of Event Logs
* Event Log Quality Improvement
* Decision Mining for Processes
* Rule/constraint-based Process Mining
* Mining from non-process-aware systems / event streams
* Multi-perspective Process Mining
* Simulation/optimization for Process Mining
* Predictive Process Analytics
* Prescriptive Process Analytics and Recommender Systems
* Responsible Process Mining
* Privacy-preserving Process Mining
* Process Model Repair
* Process Performance Mining
* Variants/deviance Analysis and Root-cause Analysis
* Visual Process Analytics
* Process Monitoring

Process mining fundamental research:
* Formal Foundations of Process Mining
* Comparative and Benchmark Studies on Process Mining
* Conceptual Models Related to Process Mining
* Human-centered Studies on Process Mining
* Process Mining Quality Measures
* Process Mining Guidelines

Process mining applications and case studies in:
* Artificial Intelligence
* Blockchain Technologies
* Robotic Process Automation (RPA)
* Business Activity Monitoring and Business Intelligence
* (Cyber) Security and Privacy
* Operations Management and Lean Six Sigma
* Process Performance Measurement
* Process Reengineering
* Resource Management
* Risk Management
* Sensors, Internet-of-Things (IoT) and Wearable Devices
* Specific domains (such as accounting, finance, government, healthcare, manufacturing)

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SUBMISSION INSTRUCTIONS
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Submissions must be original contributions that have not been published previously, nor submitted elsewhere while being submitted to ICPM 2021. All files must be prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5" x 11" two-column format)

The page limit is set to 8 pages (IEEE Format). All papers must be in English. Templates are available for Latex and Word here.

The paper should be submitted through the ICPM 2021 submission system (reachable at https://easychair.org/conferences/?conf=icpm2021) selecting the "Research Track" option.

At least one author of each accepted contribution is expected to register for the conference and present the paper, along with signing a copyright release form.

Key Dates:
* Abstract submissions: 15 June 2021
* Full-paper submissions: 1 July 2021
* Notification: 15 August 2021
* Camera-ready submissions: 15 September 2021
* ICPM main conference: 2-4 November 2021

All deadlines are 23:59 A.o.E. (Anywhere on Earth).

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PROGRAM COMMITTEE
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Abel Armas Cervantes, The University of Melbourne, Australia
Adriano Augusto, The University of Melbourne, Australia
Ahmed Awad, University of Tartu, Estonia
Robin Bergenthum, FernUniversitaet in Hagen, Germany
Andrea Burattin, Technical University of Denmark, Denmark
Cristina Cabanillas, Vienna University of Economics and Business, Austria
Josep Carmona, Universitat Politecnica de Catalunya, Spain
Paolo Ceravolo, Universita' degli Studi di Milano, Italy
Thomas Chatain, LSV, ENS Paris-Saclay
Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea
Benjamin Dalmas, Mines Saint-Etienne, France
Massimiliano de Leoni, University of Padua, Italy
Johannes De Smedt, The University of Edinburgh, UK
Jochen De Weerdt, Katholieke Universiteit Leuven, Belgium
Soren Debois, IT University of Copenhagen, Denmark
Pavlos Delias, International Hellenic University, Greece
Benoit M. Depaire, Hasselt University, Belgium
Remco Dijkman, Eindhoven University of Technology, The Netherlands
Marlon Dumas, University of Tartu, Estonia
Joerg Evermann, Memorial University of Newfoundland, Canada
Dirk Fahland, Eindhoven University of Technology, The Netherlands
Francesco Folino, ICAR-CNR, Italy
Avigdor Gal, Technion, Israel
Walid Gaaloul, Computer Science Department Telecom SudParis, France
Luciano Garcia-Banuelos, Tecnologico de Monterrey, Mexico
Laura Genga, Eindhoven University of Technology, The Netherlands
Chiara Ghidini, Fondazione Bruno Kessler, Italy
Gianluigi Greco, University of Calabria, Italy
Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine
Antonella Guzzo, University of Calabria, Italy
Marwan Hassani, Eindhoven University of Technology, The Netherlands
Mieke Jans, Hasselt University, Belgium
Gert Janssenswillen, Hasselt University, Belgium
Anna Kalenkova, The University of Melbourne, Australia
Christopher Klinkmueller, Data61|CSIRO, Australia
Agnes Koschmider, Kiel University, Germany
Manuel Lama Penin, University of Santiago de Compostela, Spain
Sander J.J. Leemans, Queensland University of Technology, Australia
Henrik Leopold, Kuehne Logistics University, Germany
Irina Lomazova, National Research University Higher School of Economics, Russia
Xixi Lu, Utrecht University, The Netherlands
Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy
Felix Mannhardt, Eindhoven University of Technology, The Netherlands
Andrea Marrella, Sapienza University of Rome, Italy
Niels Martin, Hasselt University, Belgium
Raimundas Matulevicius, University of Tartu, Estonia
Massimo Mecella, Sapienza University of Rome, Italy
Jan Mendling, Wirtschaftsuniversitaet Wien, Austria
Marco Montali, Free University of Bolzano-Bozen, Italy
Hamid Motahari, EY AI Lab Palo Alto, USA
Jorge Munoz-Gama, Pontificia Universidad Catolica de Chile, Chile
Nicolo' Navarin, University of Padua, Italy
Artem Polyvyanyy, The University of Melbourne, Australia
Luigi Pontieri, National Research Council of Italy - CNR, Italy
Luise Pufahl, TU Berlin, Germany
Hajo A. Reijers, Utrecht University, The Netherlands
Manuel Resinas, University of Seville, Spain
Stefanie Rinderle-Ma, University of Vienna, Austria
Arik Senderovich, University of Toronto, Canada
Marcos Sepulveda, Pontificia Universidad Catolica de Chile, Chile
Tijs Slaats, University of Copenhagen, Denmark
Minseok Song, Pohang University of Science and Technology, South Korea
Arthur ter Hofstede, Queensland University of Technology, Australia
Han van der Aa, University of Mannheim, Germany
Wil van der Aalst, RWTH Aachen University, Germany
Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands
Sebastiaan J. van Zelst, Fraunhofer Institute - FIT & RWTH Aachen University, Germany
Seppe Vanden Broucke, Katholieke Universiteit Leuven, Belgium
Eric Verbeek, Eindhoven University of Technology, The Netherlands
Barbara Weber, University of St. Gallen, Switzerland
Matthias Weidlich, Humboldt-Universitaet zu Berlin, Germany
Moe Thandar Wynn, Queensland University of Technology, Australia

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ORGANISATION
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General Chair:
* Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands

Program Committee Chairs:
* Claudio Di Ciccio, Sapienza University of Rome, Italy
* Chiara Di Francescomarino, FBK Trento, Italy
* Pnina Soffer, University of Haifa, Israel