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PMAI 2024 : Third International Workshop on Process Management in the AI era


When Oct 19, 2024 - Oct 20, 2024
Where Santiago de Compostela, Spain
Submission Deadline May 15, 2024
Notification Due Jul 1, 2024
Final Version Due Aug 1, 2024
Categories    process mining   artificial intelligence

Call For Papers

Third International Workshop on Process Management in the AI era (PMAI)
OCTOBER 19-24, 2024

co-located with ECAI 2024 ( - Santiago de Compostela, Spain



For any information:

Paper Submission Deadline: 15th May 2024
Paper Notification: 1st July 2024
Camera Ready: 1st August 2024
Workshop: 19th-20th October 2024 (EXACT DAY TO BE CONFIRMED)


Process Management (PM) is a growing multidisciplinary discipline combining insights from Operation Management, Computer Science, and Data Science (cf., Process Mining). The extraordinary development of AI techniques is paving the way towards a new generation of information systems able to “augment” process management, making them more autonomous, adaptive, intelligent, self-optimizing. These are AI-empowered, trustworthy, and process-aware information systems that continuously reason and act upon data within a set of constraints, with the aim of adapting and improving one or more processes along one or more indicators. To support these sophisticated forms of decision-making, they will need to extract useful insights from the execution logs of ongoing/past process executions, so as to strengthen, integrate, and iteratively revise their domain knowledge. This poses foundational, conceptual, and technical challenges related to the integration of symbolic and sub-symbolic AI techniques, and how to infuse them within PM. At the same time, delegating autonomy brings pressing requirements on the trustworthiness of such systems, and on their ability to interact with human experts and explain their own behavior.

The third workshop on Process Management in the AI era, aims at bringing together researchers from different research disciplines and a strong interest in promoting the synergy between AI and PM to address the above frontier challenges.This event is planned as a one-day workshop including two invited talks.

The main topics include but are not limited to:
- multi-perspective process models (including data, time, resources)
- declarative processes
- explainable and trustworthy AI for process management and process mining
- conversational systems, natural language processing, and human-machine interaction for process management
- KR for process management: reasoning about actions and processes, planning, and synthesis
- AI techniques for process discovery, conformance checking, prescriptive and predictive monitoring
- AI techniques for clustering and classification of process execution traces
- machine learning for event recognition on semi-structured and unstructured data
- association rule mining, specification mining, and decision mining from process execution traces
- declarative-based multi-perspective representation of process traces
- novel metrics for the measurement of process conformance
- uncertainty in AI for process management
- multiagent systems, strategic reasoning, game theory, and mechanism design for multi-party processes
- multi-objective optimization, decision-making, and continuous improvement
- value alignment in process management

Submissions must be written in English, prepared using the new CEUR-ART 1-column style (which you can download here, also available as an Overleaf template here), formatted in PDF and submitted through Chairingtool’s workshop page:

PMAI 2024 invites submissions of research, industry, and application contributions.

There are two submission formats:
Regular papers (max 12 pages including an appropriate number of references – format): must not have appeared before.
Short papers (2-4 pages including an appropriate number of references – format): results and ideas of interest to the PMAI audience, including position papers, system and application descriptions and presentations of preliminary results, an overview of papers accepted at another conference or which you submitted or plan to submit to another conference. In the latter case, extended abstracts must clearly state the venue where the paper has been accepted or submitted alongside its status.

All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality.
Submissions should be single-blinded, i.e. authors names should be included in the submissions.
At least one of the authors should register and take part at the workshop to make the presentation.

All accepted papers will be published in the volume series of CEUR-WS.

Depending on the number and quality of submissions, we will consider inviting authors of a selection of papers to submit extended versions for potential publication in a special issue of a journal.

Giuseppe De Giacomo, Sapienza University of Rome, Italy
Valeria Fionda - University of Calabria, Italy
Fabiana Fournier - IBM Research, Israel
Antonio Ielo - University of Calabria, Italy
Lior Limonad - IBM Research, Israel
Marco Montali - Free University of Bozen, Italy

Peter Fettke, Saarland University, Germany
Segev Shlomov, IBM Research, Israel
Dirk Fahland, Eindhoven University of Technology, Netherlands
Yves Lesperance, York University, Canada
Pnina Soffer, University of Haifa, Israel
Carl Corea, Universität Koblenz, Germany
Hajo Reijers, Utrecht University, Netherlands
Matthias Thimm, Fern Universität in Hagen, Germany
Francesco Chiariello, University of Naples Federico II, Italy
Antonella Guzzo, University of Calabria, Italy
Giuseppe Mazzotta, University of Calabria, Italy
Francesco Ricca, University of Calabria, Italy
Andrea Marrella, Sapienza University of Rome, Italy
Diego Calvanese, Free University of Bozen-Bolzano, Italy
Claudio Di Ciccio, Utrecht University, Netherlands
Francesco Fuggiti, Bank of Italy, Italy
Luigi Pontieri, CNR, Italy

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