2nd Workshop on ComplexHealth AI: Navigating the Intersection of Complex Systems and Artificial Intelligence in Healthcare
We invite submissions to the Workshop on Complex Systems and Language Models, to be held from June 03–05, 2026, in La Rochelle, France. This workshop aims to bring together researchers from diverse fields to explore the intersection of complexity science and artificial intelligence in Healthcare.
The workshop will examine how large language models and modern AI architectures exhibit properties of complex systems, including emergent behaviors, multiple scales of interaction, and network dynamics that cannot be predicted from their components.
We seek to understand AI systems through both computational approaches and complex systems science, recognizing that today’s AI increasingly demonstrates complex, emergent phenomena that require new theoretical frameworks.
Particular attention will be given to applications in healthcare and emergency response systems, where the ability to model complex interactions and emergent behaviors can lead to significant societal benefits and improved decision-making in critical situations.
The workshop welcomes contributions exploring theoretical frameworks and practical methodologies for analyzing, interpreting, and designing AI systems as complex systems. We encourage interdisciplinary approaches that combine insights from NLP, machine learning, complex systems science, and computer science.
This workshop will provide a platform for researchers to share insights, methodologies, and applications at this crucial intersection of fields.
Topics of Interest
Submissions are invited on a range of topics, including but not limited to:
• Sampling strategies in scale-free networks (network robustness)
• Smart/connected medical devices and their systemic impact
• Agent-based modeling of Emergency Medical Services (EMS) systems
• Deep learnings models for time series forecasting
• Multi-agent systems for telemedicine
• Performance evaluation through simulations
• Telemedicine assistants
• Smart surgical tools
• Network analysis
• Data-driven simulations
• Complexity metrics for NLP tasks and model behaviors
• Neuro-symbolic approaches and integration strategies
Submission Categories
• Long papers (not previously published work) (12 pages)
• Short papers (not previously published work) (8 pages)
• Extended abstracts (about published or unpublished research) (2 to 4 pages)
Important Dates
• Submission Deadline: March 16, 2026
• Notification of Acceptance: March 31, 2026
• Author Registration: April 20, 2026
Submission Guidelines
Submissions should be formatted according to the provided requirements found here: https://iutdijon.u-bourgogne.fr/ccs-france/submissions/
Paper Acceptance and Proceedings Inclusion
All accepted papers will be presented at the workshop. However, their inclusion in the official conference proceedings is contingent upon a final quality assessment conducted by the conference organizers.
• Long Papers (12 pages) and Short Papers (8 pages):
These papers may be included in the proceedings, provided they pass the final quality check. If a paper does not meet the publication standards, it will still be accepted for presentation at the workshop but will not be included in the proceedings. In such cases, authors may opt to submit an extended abstract for inclusion in the Book of Abstracts.
• Extended Abstracts:
Extended abstracts will not undergo review for proceedings inclusion but will be automatically published in the Book of Abstracts.
Authors will receive separate notifications regarding the final status of their paper in the proceedings. For any inquiries, please contact the workshop organizers.
Program committee
– Maria Alice Bertolim, Université Bourgogne Europe, IMB
– Christophe Cruz, Université Bourgogne Europe, ICB
– Hocine Cherifi, Université Bourgogne Europe, ICB
– Rémy Descoupes, INRAE, TETIS
– Roberto Interdonato, INRAE, TETIS
– Youssef Mourchid, CESI, LINEAST
We are pleased to announce DAVI.ai as our main industry partner for this workshop.
Workshop chair
Christophe Cruz
Université Bourgogne Europe
ccruz@ube.fr
Maria Alice Bertolim
Université Bourgogne Europe
maria-alice.bertolim@eseo.fr
Youssef Mourchid
CESI, LINEAST
ymourchid@cesi.fr