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ER 2020 : 39th International Conference on Conceptual Modeling

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Conference Series : International Conference on Conceptual Modeling
 
Link: https://er2020.big.tuwien.ac.at/
 
When Nov 3, 2020 - Nov 6, 2020
Where Vienna, Austria
Abstract Registration Due Apr 20, 2020
Submission Deadline Apr 27, 2020
Notification Due Jul 27, 2020
 

Call For Papers

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### ER 2020 - Call for Papers ###
### 39th International Conference on Conceptual Modeling ###
### Vienna, Austria, November 3-6, 2020 ###
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### https://er2020.big.tuwien.ac.at/ ###
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We solicit submission of original research, as well as experience and
vision papers, from both researchers and practitioners, welcoming any
topic where conceptual modeling is a major theme. Submissions that
relate to change in general, and the digital transformation in
particular, are especially welcome.


Important Dates
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Paper abstracts: May 25, 2020
Full papers: June 1, 2020
Author notification: July 15, 2020

Workshop proposals: February 21, 2020
Workshop papers: July 27, 2020

Tutorial/panel proposals: July 27, 2020

Forum/Demo/Poster papers: July 27, 2020


Topics of interest span the entire spectrum of conceptual modeling
including research and practice in areas such as theories of concepts
and ontologies underlying conceptual modeling, modeling languages,
methods and tools for developing and communicating conceptual models,
and techniques for transforming conceptual models into effective
implementations.


Submission Guidelines
------------------------
Since the proceedings will be published by Springer in the LNCS
series, authors must submit manuscripts using the LNCS style. The
page limit for submitted papers (as well as for final, camera-ready
papers) is 14.


Program Chairs
-----------------
- Gillian Dobbie, University of Auckland, New Zealand
- Ulrich Frank, University of Duisburg-Essen, Germany
- Stephen W. Liddle, Brigham Young University, USA


ER 2020 Awards
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- Best Student Paper Award: to be given to the best paper whose
first author is a student.
- Best Paper Award: to be given to the best paper.

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