IntDig 2025 - 2nd Workshop on Intelligent Digitalization
September 24-26, 2025
at
colocated with MOC 2025 and
WLP 2025
Call for Papers
The workshop on Intelligent Digitalization (IntDig 2025) pursues the vision of making urgently needed and sensible digitalization in business, industry and society feasible and feasible in a targeted and timely manner. To this end, the workshop addresses both the intelligent approach to digitalization projects and the appropriate use of AI-based software components in the resulting processes (also in digital twins), which should implement intelligent functionalities, intelligent processes and/or intelligent decision support in the best possible way. In addition to AI-related aspects and suitable procedures for the preparation, planning, monitoring and implementation of digitalization projects (including digital transformations), necessary and/or supportive systemic framework conditions for the success of digitalization projects at various levels (companies, company alliances, organizations, authorities, state, state alliances) are also of interest for discussion.
Contributions are particularly (but not exclusively) welcome on the following topics:
- Aspects for creating efficient system structures and processes that ensure agility through suitable digital transformation
- AI and digitalization in production and logistics/supply chain management
- Digital twins as a basis for simulations, planning, reasoning and/or documentation
- Approaches, aspects, frameworks and models for intelligent digitalization
- Self-organization/optimization of economic and organizational systems
- Approaches, aspects, models and methods of intelligent companies, intelligent organizations, intelligent alliances, etc.
- Presentation of ongoing or implemented digitization projects or digitization programs
- Analysis of ongoing or completed digitalization projects, digitalization programs and "digitalization controls/digitalization committees"
- Lessons learned related to digitalization and digital transformation
- Investigations of potential in the context of intelligent digitalization
- Topic-related applications and concepts in specific industries and domains
- Aspects of teaching in relation to intelligent digitalization and digital transformation
The workshop is intended to give experts and interested parties the opportunity to exchange and discuss ideas, approaches and experiences in order to ideally gain insights and develop foundations, impulses and ideas for further activities.
Submitting contributions
Authors are invited to submit long papers (no longer than 15 pages)
or short papers (no longer than 6 pages) or papers for the planned
brainstorming session (2 pages).
Submissions must be unpublished original work and not submitted for
publication elsewhere.
However, work that already appeared in informally published workshop
proceedings may be submitted too.
All submissions must be in PDF
format using the Springer LNAI Style.
All accepted papers will be published in a technical report of the DECLARE conference.
As for previous events of Declare, it is planned to publish
selected papers in post-conference proceedings volume in the
Springer Lecture Notes in Artificial Intelligence (LNAI) series.
Submission should be done using
EasyChair
(→ Submit).
Due dates
- submission of papers: June 15
- author notification: July 14
- final version: August 4
Organisation
- Ulrich John (Chair), IU International University of Applied Sciences, Germany, ulrich.john@iu.org
- Hartwig Baumgärtel, Ulm University of Applied Sciences, Germany, Hartwig.Baumgaertel@thu.de
Program Commitee
- Slim Abdennadher, German International University, Cairo, Egypt
- Salvador Abreu, University of Évora, Portugal
- Florian Allwein, IU International University of Applied Sciences, Germany
- Hartwig Baumgärtel, Ulm University of Applied Sciences, Germany
- Ulrich Geske, University of Potsdam, Germany
- Andreas Hoffmann, Fraunhofer FOKUS, Germany
- Petra Hofstedt, Brandenburg University of Technology Cottbus-Senftenberg, Germany
- Ulrich John, IU International University of Applied Sciences, Germany
- Andreas Kmoch, Toll Collect, Germany
- Sibylle Schwarz, Leipzig University of Applied Sciences, Germany
- Dietmar Seipel, University of Würzburg, Germany
- Armin Wolf, Fraunhofer FOKUS, Germany
- Alois Zoitl, Johannes Kepler University Linz, Austria
Imprint