(apologies for cross-posting)

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43rd International Conference on Conceptual Modeling (ER 2023)
“Conceptual Modeling, AI, and Beyond”

Carnegie Mellon University, Pittsburgh, PA, USA
28-31 October, 2024
Website: https://sei.cmu.edu/go/er2024
LinkedIn: https://www.linkedin.com/company/er-conf

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As AI and ML reshape technology, they're also revolutionizing conceptual modeling. We call for papers exploring this change, particularly how AI and ML integrate with and expand conceptual modeling. Submissions should cover established topics like modeling languages, theories, and methods, as well as AI/ML's novel contributions to the field. We encourage papers that push the boundaries of conceptual modeling and demonstrate AI/ML's transformative effects. Contributions should reflect the current state and forecast the future of conceptual modeling, setting the stage for pioneering research.


=========== Important Dates ===========


- Full paper abstracts submission (mandatory): 19 May, 2024
- Full paper submission: 26 May, 2024
- Author notification: 22 July, 2024
- Camera-ready papers and author registration: 09 September, 2024

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


=========== Submission Guidelines for Full Paper and Review Process ===========


Papers must be submitted via https://easychair.org/my/conference?conf=er2024 to the “ER 2024 Full Papers” track.

Since the proceedings will be published by Springer in the LNCS series, authors must submit manuscripts using the LNCS style or Overleaf. The page limit is 16 pages (excluding references). Papers will be judged on contribution, literature basis, novelty, clarity, relevance, and rigor. The review process is double-blind. Submissions must be anonymized.


=========== Other types of submissions ===========


In addition, submissions can be made for workshop proposals and presentations, posters, forum contributions, project exhibitions, and hackathon proposals. Learn at the official conference website.


=========== Post-Conference Special Journal Issue ===========


The authors of selected papers will be invited to prepare a substantially revised and extended version to a special issue in Elsevier’s Data & Knowledge Engineering.


=========== Topics of Interest (not limited to the following) ===========


- Foundations of conceptual modeling
- Generative AI & Conceptual Modeling
- Conceptual modeling in business in general, industry, and software engineering
- Conceptual modeling for data management, semantic web, and knowledge graphs
- Conceptual modeling showcased by computational tools, empirical studies, experience reports, use cases, and real-world impact


=========== Organization ===========

General Chairs
- Hasan Yasar, Software Engineering Institute Carnegie Mellon University, Pittsburgh, PA, USA

Program Chairs
- Wolfgang Maass, Saarland University and German Research Center for Artificial Intelligence (DFKI), Germany
- Nick Multari, Center for Applied Cybersecurity Research, Indiana University, IN, USA
- Hyoil Han, Illinois State University, IL, USA