Call for Papers
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. We invite you to submit original papers to be considered for inclusion in the workshop. The workshop will be further enriched with a panel allowing for discussing the most recent challenges across the two fields.
Topics of interest
The call for papers of the workshop is aligned with the call for papers of BPI. AI4BPM continues its well-established lineage of dissemination of AI (e.g., machine and deep learning, knowledge representation, planning, reasoning, NLP, causality) applied to Business Process Management tasks or vice versa. We strongly encourage submitting papers on classical process mining, e.g., process discovery, conformance checking, visualization, to the BPI workshop.
Submissions: type and content
The activities of the workshop will include presentations of scientific papers and experience reports, and also discussion sessions. We solicit three kinds of submission:
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 concurrently 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 concurrently elsewhere.
Papers should be written in English, following Springer LNCS style - including all text, references, appendices, and figures. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the AI4BPM international Program Committee. The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). 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.
Submissions should be made through the AI4BPM submission page by selecting the option "7th International Workshop on Artificial Intelligence for Business Process Management".
Workshop abstract submission deadline: May 30, 2024 AoE
Workshop paper submission deadline: June 7, 2024 AoE
Workshop papers notification deadline: July 5, 2024
Workshop camera-ready papers deadline: July 19, 2024
Workshop: September 2, 2024