EmpER'24: 7th International Workshop on Empirical Methods in Conceptual Modeling Pittsburgh, PA, United States, October 30, 2024 |
Conference website | https://emper-workshop.github.io/2024/ |
Abstract registration deadline | August 4, 2024 |
Submission deadline | August 4, 2024 |
Scope
Conceptual modeling has enjoyed substantial growth over the past decades in diverse fields such as Information Systems Analysis, Software Engineering, Enterprise Architecture, Business Analysis and Business Process Engineering. A plethora of conceptual modeling languages, frameworks and systems have been proposed promising to facilitate activities such as communication, design, documentation or decision-making. Success in designing a conceptual modeling system is, however, predicated on demonstrably attaining such goals through observing their use in practical scenarios.
At the same time, the way individuals and groups produce and consume models gives raise to cognitive, behavioral, organizational or other phenomena, whose systematic observation may help us better understand how models are used in practice and how we can make them more effective. Furthermore, the act of building conceptual models is ideally informed by empirical evidence that is nowadays abundant in the form of digital data. This overabundance of data, combined with the advent of advanced data analysis and artificial intelligence (AI) techniques, introduces major opportunities and challenges in empirically informed conceptual modeling.
Aim and Topics
We aim at bringing together researchers with an interest in the empirical investigation of conceptual modeling practices, as well as with the study of a data-driven, evidence-based conceptual modelling practice. Contributions include but are not limited to:
- Complete, on-going or planned empirical studies in conceptual modeling.
- Literature Reviews on empirical research.
- Theoretical/philosophical positions.
- Technical contributions, case studies, or position and vision papers on data-driven, evidence-based conceptual modeling.
- Discussions/positions on statistical and methodological issues.
- Lessons learned from past studies.
Committees
Program Committee
- David Aveiro, University of Madeira, Portugal
- Robert Buchmann, Babeș-Bolyai University, Romaina
- Marian Daun, Universität Duisburg-Essen, Germany
- Robson Fidalgo, Universidade Federal de Pernambuco, Brazil
- Antonio Garmendia, Universidad Autónoma de Madrid, Spain
- Vincenzo Gervazsi, University of Pisa, Italy
- Andrea Herrmann, University of Heidelberg, Germany
- John Krogstie, Norwegian University of Science and Technology, Norway
- Tong Li, Beijing University of Technology, China
- Lin Liu, Tsinghua University, China
- Raimundas Matulevičius, University of Tartu, Estonia
- Claudia Negri-Ribalta, University of Luxembourg, Luxemburg
- Oscar Pastor, Universidad Politécnica de Valencia, Spain
- Tiago Prince Sales, University of Twente, The Netherlands
- Henderik Proper, TU Wien, Austria
- Jan Recker, University of Hamburg, Germany
- Ben Roelens, Open Universiteit, Belgium
Organizing committee
- João Araujo, Universidade Nova de Lisboa, Portugal
- Dominik Bork, TU Wien, Austria
- Miguel Goulao, Universidade Nova de Lisboa, Portugal
- Jennifer Horkoff, Chalmers University of Technology and University of Gothenburg, Sweden
- Sotirios Liaskos, York University, Canada
Contact
All questions about submissions should be emailed to the workshop organizers.