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PMAI@IJCAI 2023 : PMAI 2023 : 2nd Workshop on Process Management in the AI era


When Aug 19, 2023 - Aug 19, 2023
Where Macao, China
Abstract Registration Due May 8, 2023
Submission Deadline May 15, 2023
Notification Due Jun 1, 2023
Categories    AI   BPM

Call For Papers


Abstract Submission: 8 May 2023
Paper Submission Deadline: 15 May 2023 (Extended)
Paper Notification: 1 June 2023
Camera Ready: TBD
Workshop: 19 August 2023 (EXACT DAY TO BE CONFIRMED)


Process Management (PM) is a multidisciplinary field that combines insights from operations management, computer science, and data science (cf. process mining). The rapid development of artificial intelligence (AI) techniques is leading to the creation of a new generation of information systems that can “augment” PM, making them more autonomous, adaptive, intelligent, and self-optimizing. Such systems are recently referred to as AI-augmented BPM systems (ABPMS). These AI-empowered, trustworthy, and process-aware systems continuously reason and act on data within a set of constraints, with the goal of adapting and improving one or more processes according to various indicators. ABPMSs are the backbone necessary to realize the vision of the enterprise of the future, enabling organizations to gradually shift their process management, advancing along the six levels of autonomous process execution management. Achieving a synergetic combination between AI and PM 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 second workshop on Process Management in the AI era, aims at bringing together researchers from different research disciplines to promote the synergy between AI and PM to address the above frontier challenges. We welcome scientists, practitioners, and students from academic and industrial communities who are interested in the synergy between AI and PM, to participate and submit their original work. We welcome not only contributions that empower PM with AI techniques, but also contributions that exploit their combination to solve more general problems in AI.


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
- knowledge-representation 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
- novel metrics for the measurement of process conformance
- AI for process management over uncertain data and models
- multiagent systems, strategic reasoning, game theory, and mechanism design for multi party processes
- multi-objective optimization, decision-making, and continuous improvement
- goal and key performance indicator alignment in process management
- causal reasoning and process management


Submissions must be written in English, prepared using the new CEUR-ART 1-column style, formatted in PDF and submitted via EasyChair.
An Overleaf template for LaTeX users is available here. Alternatively, you can download an offline version with the style files for both LaTeX and MS-Word.
PMAI 2023 invites submissions of research, industry and application contributions as well as software demonstrations.
There are two submission formats:
Regular papers (11-12 pages including an appropriate number of references): must contain enough substance that they can be cited in other publications and may not have appeared before.
Extended Abstracts (2-4 pages including an appropriate number of references): results and ideas of interest to the PMAI audience, including position papers, system and application descriptions and presentations of preliminary results, 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 accepted papers are expected to be presented at the conference, and
*** at least one author of each accepted paper must travel to the IJCAI venue in person. *** Multiple submissions of the same paper to other IJCAI workshops are forbidden.

Submissions should be single blind so the names of the authors will be visible to the reviewers and should be indicated on the submitted files. In justified cases, if you wish your submission to be handled anonymously (i.e., double-blind) please send us an e-mail explaining the reasons. You will receive instructions on how to proceed.


The proceedings will be submitted to for online publication. Papers will be published under a CC BY 4.0 license that will be included in an open-access proceedings volume of CEUR Workshop Proceedings, indexed by both Scopus and DBLP. Extended Abstracts are no longer indexed by and the case of an abstract of a pre-published paper may require a permission by the copyright holder.


Best papers will be invited for a special issue, along with best papers from sister workshops in BPM: from AI4BPM and FM-BPM.

*Authors are invited to check the Workshop website for further information and updates.

Kind regards, the organizers:
Fabiana Fournier - IBM Research, Israel
Lior Limonad - IBM Research, Israel
Massimiliano de Leoni - University of Padova, Italy
Antonella Guzzo - University of Calabria, Italy
Andrea Marrella - Sapienza University of Rome, Italy
Pnina Soffer - Haifa University, Israel

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