EmpER'24 will be held in conjunction with ER 2024 from October 28th to October 31st.
Scope
Conceptual modeling has enjoyed substantial growth over the past decades in fields ranging from Information Systems Analysis to Business Process Engineering. A plethora of conceptual modeling practices (languages, frameworks, methods, etc.) have been proposed, promising to facilitate activities such as communication, design, or decision-making. Success in adopting a conceptual modeling practice is, however, predicated on convincingly demonstrating that it indeed successfully supports these activities. 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 an empirically-informed conceptual modeling practice.
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.
Important Dates
Paper submission: 27 July 2024
Author notification: 11 August 2024
Camera-ready Version: 30 August 2024
Paper Submission
Since the proceedings will be published by Springer in the LNCS series, authors must submit manuscripts using the LNCS style or Overleaf. Maximum lenght is 10 LNCS pages (including figures, references, etc.). The review process is double-blind. Submissions must be anonymized. Submissions are handled in EasyChair (please select "EmpER’24 Workshop Papers").
Papers will be judged on contribution, literature basis, novelty, clarity, relevance, and rigor. Accepted papers will be published within the ER Workshop proceedings, in the Springer LNCS Series. At least one of the authors for each accepted paper must be registered and attend the conference for paper presentation.
Workshop Organizers
- 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
Program Committee
- Camilo Almendra, Universidade Federal do Ceará, Brazil
- David Aveiro, University of Madeira, Portugal
- Robert Buchmann, Babeș-Bolyai University, Romaina
- Edna Dias Canedo, University of Brasília, Brazil
- 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
- José Antonio Hernández Lopez, Linköping University, Sweden
- 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
- Jéssyka Vilela, Universidade Federal de Pernambuco, Brazil