[CfP] 44th International Conference on Conceptual Modeling (ER 2025) @Poitiers, France

(apologies for cross-posting)

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 Elsevier's Data &
Knowledge Engineering (JCR 2023 Impact Factor 2.7).

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Topics of Interest
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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