ER 2025: Call for Papers

The 44th International Conference on Conceptual Modeling (ER 2025) will be held in Poitiers / Futuroscope, France, from October 20-23, 2025.

Theme: Building Trust Through Conceptual Modeling

This year's theme focuses on the important role conceptual modeling plays in creating systems that are trustworthy, inclusive, and transparent. We invite the Conceptual Modelling community to deliberate on how traditional modeling principles and frameworks can contribute and adapt to new advancements in AI, data ecosystems, and autonomous platforms while upholding ethical standards and fostering trust in digital innovations.

Topics of Interest

We welcome submissions of original research on a variety of topics on conceptual modeling, including well-established and emerging areas of research and practice, as well as industry reports and vision papers. Specific examples include but are not limited to:

Foundations of conceptual modeling:

• Human-centred and inclusive modeling
• Model explainability and transparency
• Role of modeling in engendering trust and building trustworthy systems
• Automated and AI-assisted conceptual modeling
• Complexity management of large conceptual models
• Concept formalization, including data manipulation languages and techniques, formal concept analysis, and integrity constraints
• Domain-specific modeling
• Discovery of models, (anti-)patterns, and structures
• Evolution, exchange, integration, and transformation of models
• Justification and evaluation of models
• Interactive, dynamic and adaptive modeling systems
• Logic-based knowledge representation and reasoning
• Multi-level and multi-perspective modeling
• Ontological and cognitive foundations
• Quality paradigms and metrics
• Semantics in conceptual modeling
• Theories and methodologies for conceptual modeling
• Verification and validation of conceptual models

Conceptual modeling for:

• Data access, acquisition, integration, maintenance, preparation, transformation, and visualization
• Data management, including database design, performance optimization, privacy and security, provenance, transactions, queries
• Data value, variety, velocity, veracity, volume, and other dimensions
• Data-centric AI development
• Distributed, decentralized, ledger-based, parallel, and P2P databases
• Graph and network databases
• Object-oriented and object-relational databases
• SQL, NewSQL and NoSQL databases
• Spatial and temporal databases
• Event-based and stream architectures
• Multimedia and text databases
• Approximate, probabilistic, and uncertain databases
• Web, Semantic Web, knowledge graphs, and cloud databases
• Synthetic data and simulation modeling
• Other data spaces

Conceptual modeling in:

• AI, data mining, data science, machine learning, explainable AI, LLMs, statistics
• Business, climate, compliance, economics, education, energy, entertainment, government, health, law, sustainability, etc
• Collaboration, crowdsourcing, games, and social networks
• Business intelligence and analytics, Data warehousing
• Engineering, such as agile development, requirements engineering, reverse engineering, model-driven engineering
• Enterprises, including the modeling of business rules, capabilities, goals, services, processes, values, software, and systems
• Ethics, fairness, responsibility, or trust
• Digital twins, fog and edge computing, Industry 4.0, internet of things
• Information classification, filtering, retrieval, summarization, and visualization
• Scientific data management, including FAIR practices
• Metaverse and Extended Reality (XR)

Conceptual modeling showcased by:

• Computational tools that advance the state-of-the-art
• Ethnographic, qualitative, empirical case studies, and experience reports of applications
• Comparative and benchmarking studies

Important Dates

• Full paper abstracts submission (mandatory): May 26, 2025
• Full paper submission: June 2, 2025
• Author notification: August 6, 2025
• Camera-ready papers and author registration: August 18, 2025

All deadlines are at 23:59 in the Anywhere on Earth timezone.

Submission Guidelines for Full Papers and Review Process

Since the proceedings will be published by Springer in the LNCS series, authors must submit manuscripts using the LNCS style (see style files and details). Springer has provided a LaTeX template in Overleaf for your convenience. The page limit for submitted papers (as well as for final, camera-ready papers) is 16 pages (excluding references). ER 2025 follows a double-blind review process. Authors are therefore asked to remove all identifying information (self-references, acknowledgments, involved research projects, etc.) from the manuscript and use repository anonymization services like https://anonymous.4open.science to anonymize potential source code repositories and online supplementary material.

Manuscripts not submitted in the LNCS style or exceeding the page limit will be desk rejected. Likewise, submissions that do not primarily focus on aspects of conceptual modeling shall be rejected without undergoing formal reviewing. Papers submitted must not be under evaluation for or have already been published in, or accepted for publication, in a journal or another conference.

Each paper admitted to the review process will be reviewed by at least two program committee members and, if positively evaluated, a third review and a meta-review will be conducted by two additional program board members. The selected papers will be discussed among the paper reviewers online to conclude a decision.

Research papers will be assessed for the extent of contribution, grounding in the literature, novelty, presentation quality, relevance, and technical rigor. Industry reports should demonstrate the impact of conceptual modeling in a real-world setting, arguing for the generalisability of methods and lessons learned. Vision papers should describe an ambitious and credible future state of conceptual modeling, articulating the need, research plan, and potential impact of the vision.

Submission Link

To submit your paper, please use the following link: https://easychair.org/conferences/?conf=er2025

Post-Conference Special Journal Issue

The authors of selected papers will be invited to prepare a substantially revised and extended version of a Special Issue in Elsevier's Data & Knowledge Engineering (JCR 2023 Impact Factor 2.7).

Program Co-chairs

• Shazia Sadiq, University of Queensland, Australia
• Dominik Bork, TU Wien, Austria
• Roman Lukyanenko, University of Virginia, USA

Contact

Email: er2025@ensma.fr

Web: https://er2025.ensma.fr