DCAI4IA (in ICSOC) 2025 : 1st International Workshop on Data-Centric Artificial Intelligence for Intelligent Agents (DCAI4IA-In conjunction with ICSOC 2025)
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1st International Workshop on Data-Centric Artificial Intelligence for Intelligent Agents (DCAI4IA)
December 1st, 2025
Shenzhen, China
In conjunction with ICSOC 2025
https://dcai4ia.univ-tours.fr/
https://icsoc2025.hit.edu.cn/
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Overview
------------
Data-Centric Artificial Intelligence (DCAI) is revolutionizing the development and deployment of intelligent
systems by shifting the focus from model-centric optimization to systematic data engineering. In the realm
of intelligent agents, especially task-oriented bots, dialogue systems, and autonomous decision-makers, this
perspective is particularly transformative. The ability of these agents to operate robustly and adaptively
in dynamic, real-world environments depends critically on the quality, governance, and lifecycle management
of the data they consume and generate.
DCAI4IA aims to bring together researchers, practitioners, and industry stakeholders to explore how DCAI
principles can be applied to design, train, deploy, and monitor intelligent agents embedded in complex
systems, services, and workflows. The workshop will serve as a forum for presenting new research, discussing
emerging challenges, and showcasing applications where data quality and design directly impact agent
behavior and performance.
This workshop is closely aligned with ICSOC's focus on intelligent services and workflows, particularly
in how data-centric AI enhances the reliability and adaptability of service-oriented intelligent agents.
Topics of Interest
----------------------
We welcome original contributions and position papers on topics including but not limited to:
- Data Engineering for Intelligent Agents
* Data preprocessing, cleaning, correction, and deduplication for agent training.
* Dynamic data management and evolution in agent-driven environments.
* Domain adaptation, data augmentation, and active learning strategies.
- Data-Centric Models in Multi-Agent Systems
* Data-driven coordination and decision-making in multi-agent settings.
* Handling data drift and environmental changes in real-time.
* Explainability and traceability via data provenance and metadata.
- Generative AI and Conversational Agents
* Dataset curation and prompt optimization for dialogue systems.
* Evaluation frameworks centered on data quality and diversity.
* Handling hallucinations and inconsistencies in LLM-based agents.
- Architectures and Infrastructures
* Workflow design and orchestration for autonomous agent ecosystems.
* Monitoring and debugging data pipelines for deployed agents.
* Integrating DCAI into MLOps pipelines tailored to agent lifecycle.
- Applications and Case Studies
* Intelligent agents in domains like finance, healthcare, education, robotics, logistics, smart cities, etc.
* Comparisons of data-centric vs. model-centric designs in agent behavior.
* Datasets, benchmarks, and reproducibility standards for data-centric agent development.
Important Dates
-------------------
- Paper Submission Deadline: 30 September 2025
- Notification of Acceptance: 24 October 2025
- Camera-Ready Submission: 07 November 2025
- Workshop Date: 1 December, 2025
Submission Guidelines
--------------------------
We invite the submission of:
- Position papers (8-page limit): present your viewpoint on workshop-related topics through thoughtful
position statements. These contributions spark meaningful debates by posing critical questions, presenting
alternative perspectives, identifying challenges, and proposing innovative solutions to emerging issues.
- Research papers (12-page limit): share your cutting-edge research findings and comprehensive evaluations.
Contributions may include work-in-progress studies, groundbreaking concepts with initial validation, state-of-the-art
improvements, critical analysis of existing literature and practices, or practical experiences in theory implementation.
- Industry Papers (12-page limit): bridge the gap between industry and academia by showcasing innovative solutions that
drive real-world impact. This track welcomes contributions that demonstrate strong industrial connections through
comprehensive case studies, practical applications, or direct collaboration with industry partners as co-authors, fostering
opportunities for funding and strategic partnerships.
Submissions must be formatted according to the ICSOC 2025 style guidelines (Springer's LNCS Formatting Guidelines) and
submitted at: https://easychair.org/my/conference?conf=icsoc2025.
Each submission will be peer-reviewed by at least three experts.
Workshop Publication
-------------------------
Accepted papers will be published as post proceedings to appear in Springer together with the other workshops.
A selection of high-quality contributions will be invited for extended versions in a special issue of a peer-reviewed journal.
Organizers
-------------
- Nasredine Cheniki, Infeurope S.A., Luxembourg
- Abderrahmane Maaradji, University of Doha for Science and Technology, Qatar
- Sabrina Senatore, University of Salerno, Italy
- Yanmei Zhang, Central University of Finance and Economics, China
- Yacine Sam, University of Tours, France
Contact
----------
Email: [email protected]
1st International Workshop on Data-Centric Artificial Intelligence for Intelligent Agents (DCAI4IA)
December 1st, 2025
Shenzhen, China
In conjunction with ICSOC 2025
https://dcai4ia.univ-tours.fr/
https://icsoc2025.hit.edu.cn/
##################################################################################
Overview
------------
Data-Centric Artificial Intelligence (DCAI) is revolutionizing the development and deployment of intelligent
systems by shifting the focus from model-centric optimization to systematic data engineering. In the realm
of intelligent agents, especially task-oriented bots, dialogue systems, and autonomous decision-makers, this
perspective is particularly transformative. The ability of these agents to operate robustly and adaptively
in dynamic, real-world environments depends critically on the quality, governance, and lifecycle management
of the data they consume and generate.
DCAI4IA aims to bring together researchers, practitioners, and industry stakeholders to explore how DCAI
principles can be applied to design, train, deploy, and monitor intelligent agents embedded in complex
systems, services, and workflows. The workshop will serve as a forum for presenting new research, discussing
emerging challenges, and showcasing applications where data quality and design directly impact agent
behavior and performance.
This workshop is closely aligned with ICSOC's focus on intelligent services and workflows, particularly
in how data-centric AI enhances the reliability and adaptability of service-oriented intelligent agents.
Topics of Interest
----------------------
We welcome original contributions and position papers on topics including but not limited to:
- Data Engineering for Intelligent Agents
* Data preprocessing, cleaning, correction, and deduplication for agent training.
* Dynamic data management and evolution in agent-driven environments.
* Domain adaptation, data augmentation, and active learning strategies.
- Data-Centric Models in Multi-Agent Systems
* Data-driven coordination and decision-making in multi-agent settings.
* Handling data drift and environmental changes in real-time.
* Explainability and traceability via data provenance and metadata.
- Generative AI and Conversational Agents
* Dataset curation and prompt optimization for dialogue systems.
* Evaluation frameworks centered on data quality and diversity.
* Handling hallucinations and inconsistencies in LLM-based agents.
- Architectures and Infrastructures
* Workflow design and orchestration for autonomous agent ecosystems.
* Monitoring and debugging data pipelines for deployed agents.
* Integrating DCAI into MLOps pipelines tailored to agent lifecycle.
- Applications and Case Studies
* Intelligent agents in domains like finance, healthcare, education, robotics, logistics, smart cities, etc.
* Comparisons of data-centric vs. model-centric designs in agent behavior.
* Datasets, benchmarks, and reproducibility standards for data-centric agent development.
Important Dates
-------------------
- Paper Submission Deadline: 30 September 2025
- Notification of Acceptance: 24 October 2025
- Camera-Ready Submission: 07 November 2025
- Workshop Date: 1 December, 2025
Submission Guidelines
--------------------------
We invite the submission of:
- Position papers (8-page limit): present your viewpoint on workshop-related topics through thoughtful
position statements. These contributions spark meaningful debates by posing critical questions, presenting
alternative perspectives, identifying challenges, and proposing innovative solutions to emerging issues.
- Research papers (12-page limit): share your cutting-edge research findings and comprehensive evaluations.
Contributions may include work-in-progress studies, groundbreaking concepts with initial validation, state-of-the-art
improvements, critical analysis of existing literature and practices, or practical experiences in theory implementation.
- Industry Papers (12-page limit): bridge the gap between industry and academia by showcasing innovative solutions that
drive real-world impact. This track welcomes contributions that demonstrate strong industrial connections through
comprehensive case studies, practical applications, or direct collaboration with industry partners as co-authors, fostering
opportunities for funding and strategic partnerships.
Submissions must be formatted according to the ICSOC 2025 style guidelines (Springer's LNCS Formatting Guidelines) and
submitted at: https://easychair.org/my/conference?conf=icsoc2025.
Each submission will be peer-reviewed by at least three experts.
Workshop Publication
-------------------------
Accepted papers will be published as post proceedings to appear in Springer together with the other workshops.
A selection of high-quality contributions will be invited for extended versions in a special issue of a peer-reviewed journal.
Organizers
-------------
- Nasredine Cheniki, Infeurope S.A., Luxembourg
- Abderrahmane Maaradji, University of Doha for Science and Technology, Qatar
- Sabrina Senatore, University of Salerno, Italy
- Yanmei Zhang, Central University of Finance and Economics, China
- Yacine Sam, University of Tours, France
Contact
----------
Email: [email protected]