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

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. 

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. The workshop mainly welcomes papers targeting foundational and engineering  aspects of BPM but it is open to the full spectrum of the BPM field. This may include (but is not limited to) the following topics:

Since the research area of AI for BPM is in its infancy, we especially encourage submissions that explore completely new directions, which step outside of the areas listed above.

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:

Submission instructions

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: 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".

Important dates