The International Conference on Conceptual Modeling is the premiere international conference on conceptual modeling, its foundations and applications. ER 2026 will be held in St. John’s, Canada from October 5-2026



We welcome submissions of original research on a variety of topics on conceptual modeling. These include well-established areas of research and practice, such as modeling languages and techniques, model theories, methods and tools for developing, transforming, implementing and communicating conceptual models. Submissions that lead to new foundations, links, applications, or enlarge current boundaries of conceptual modeling are especially welcome.



In celebrating the conference’s 45th anniversary this year, we especially invite contributions on the theme of CONCEPTUAL MODELING AND SUSTAINABILITY. Conceptual modeling plays a critical role in sustainability by offering structured ways to represent and connect complex environmental, social, and economic systems. In a year marked by accelerating climate impacts, policy transitions, and technological change, models help researchers and practitioners align assumptions, compare scenarios, and translate knowledge across disciplines.



Important Dates

Paper abstracts submission (mandatory): May 5, 2026

Paper submission: May 12, 2025

Author notification: July 14, 2026

Camera-ready papers and author registration: July 28, 2026

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



Topics of Interest

Specific examples of many other relevant topics are available at https://er2026.org/cfp.html.



Submission Guidelines for Papers and Review Process



We invite two types of papers: full papers and short papers:

Full Papers (16 pages, including references) present fully developed research on a specific scholarly topic, although they are shorter than journal submissions.

Short papers (10 pages, including references) present novel and promising work that is still in progress. Thus, short papers provide initial evidence that supports the arguments made, but final methodological steps related to the paper may not have been carried out at the point of paper submission. Accordingly, in addition to other typical criteria that research papers are assessed on (e.g., importance of research objectives, relevance and completeness of theory, appropriateness of methodology, etc.), short papers will also be assessed on the potential of their contributions, the feasibility of the proposed methodology, and the likelihood of completing the proposed work plan by ER 2026.



Both types of papers will be published in the LNCS series; authors will be asked to choose the type of paper at the time of submission.



To submit your paper, please use the following link: https://easychair.org/conferences/?conf=er2026. 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.



ER 2026 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 properly anonymized or not aligned with 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 review. 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 three committee members in a double-blind process, with a meta-review provided by a program board member.



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 2024 Impact Factor 2.6).



Program Co-chairs

Anna Bernasconi, Politecnico di Milano, Italy

Marta Indulska, University of Queensland, Australia

Sudha Ram, University of Arizona, USA