ER2025 Call for Papers
44th International Conference on Conceptual Modeling (ER 2025)

20-23 October 2025, Poitiers, France
https://er2025.ensma.fr/

ER is the premier international conference for research and practice on Conceptual Modelling. The conference provides a vibrant forum for discussing and extending the state-of-the-art conceptual modeling foundations, emerging and future challenges, and the pivotal role conceptual modeling plays in a variety of applications. In celebrating its 44th anniversary this year, we especially invite contributions on the theme of:

BUILDING TRUST THROUGH CONCEPTUAL MODELING

Building trust in digital ecosystems has gained a heightened importance in an increasingly contested world. 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.

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 submissions that lead to new foundations, links, applications, or enlarge current boundaries of conceptual modeling. We also invite industry reports and vision papers.

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Important Dates
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Full paper abstracts submission (mandatory): 19 MAY 2025
Full paper submission: 26 MAY 2025
Author notification: 30 JULY 2025

Camera-ready papers and author registration: 18 AUGUST 2025

* All deadlines are 23:59 AoE (Anywhere on Earth)

Check https://er2025.ensma.fr/ for further details concerning the industrial track, workshop and tutorial proposals, as well as forum, poster and demo paper submission guidelines.

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Submission Guidelines for Full Papers and Review Process
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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.

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Submission Link
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https://easychair.org/conferences/?conf=er2025

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

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Topics of Interest
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In celebrating its 44th anniversary this year, we especially invite contributions on the theme of: BUILDING TRUST THROUGH CONCEPTUAL MODELING

Specific examples of relevant topics 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

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Organization
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General Chairs
- Ladjel Bellatreche, ISAE-ENSMA, Poitiers, France
- Oscar Pastor, Universitat Politècnica de València
Program Chairs
- Shazia Sadiq, The University of Queensland, Australia
- Dominik Bork, TU Wien, Austria
- Roman Lukyanenko, University of Virginia, USA