[AISWorld] Final CfP: CAiSE 2018 (30th Int. Conf. on Advanced Information Systems Engineering)

[Jennifer Horkoff]

Final Call for Papers

CAiSE 2018 - 30th International Conference on Advanced Information 
Systems Engineering
11-15 June 2018, Tallin, Estonia
https://caise2018.ut.ee/
	 
Abstract Submission:	24 November 2017 Paper Submission:	01 December 2017 (strict!)

Theme: Information Systems in the Big Data Era
 
Over the last years, Big Data and Artificial Intelligence technologies have gradually found their way into 
mainstream information systems. As these technologies mature and demonstrate their business value, they go 
from providing isolated functionality to becoming integrated into large and complex information systems, 
which entails that they have to be maintained and evolved in a sustainable manner. This maintenance imperative 
raises new challenges for information systems engineers due to the level of sophistication and the demanding 
infrastructure requirements that characterize these technologies.

The CAiSE conference will continue its tradition as the premiere venue for innovative and rigorous research 
across the whole spectrum of Information Systems Engineering, while placing a special emphasis on the theme of 
Information Systems in The Big Data Era. This year’s theme acknowledges the disruptions brought about by the 
abundance of Big Data sources on government and business services, their users and customers, as well as the 
environments in which they are generated. This data abundance creates new opportunities to develop smart and 
personalized information systems, but also raises new challenges for information systems engineers, for example 
in the areas of scalable data cleaning, integration and processing, and real-time and predictive data analytics.
Besides offering an exciting scientific program, CAiSE ’18 will feature a best paper award, a special issue, and 
a PhD-thesis award:

* CAiSE ’18 Best Paper Award: CAiSE ’18 will award the best paper (prize 1.000 € – sponsored by Springer Verlag). 
* Special Issue of CAiSE ’18 in the “Information Systems Journal”: Authors of the selected papers of CAiSE ’18 
will be invited to submit an extended version of their paper to the CAiSE ’18 special issue of the 
„Information Systems Journal“. 
* CAiSE ’18 PhD-Thesis Award: CAiSE’18 will award the best PhD thesis of a past CAISE Doctoral Consortium author 
(co-sponsored by the CAiSE Steering Committee and Springer). Additional information will be provided soon for this 
award.

Papers should be submitted in PDF format. The results described must be unpublished and must not be under review 
elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text, 
figures, references and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being 
obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS
format can be found at http://www.springer.com/comp/lncs/authors.html. Three to five keywords characterizing the 
paper should be listed at the end of the abstract.

Submission is done through CyberChair at the following page: http://cyberchairpro.borbala.net/caisepapers/submit/.
Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one 
additional program board member. The selected papers will be discussed among the paper reviewers on-line and 
additionally during the program board meeting in Amesterdam. Accepted papers will be presented at CAiSE ’18 
and published in the conference proceedings http://www.springer.com/computer/lncs 
(Springer Lecture Notes in Computer Science (LNCS)).

Main Conference	 
Abstract Submission:		24 November 2017
Paper Submission:		01 December 2017 (strict!)
Notification of Acceptance:	23 February 2018

Other deadlines	 
Workshop Proposals:		15 October 2017
CAiSE Forum:			4 March 2018
Notification of Acceptance:	1 April 2018

We invite four types of original and scientific papers:

* Formal and/or technical papers describe original solutions (theoretical, methodological or conceptual) in the 
field of IS engineering. A technical paper should clearly describe the situation or problem tackled, the relevant 
state of the art, the position or solution suggested and the potential – or, even better, the evaluated – 
benefits of the contribution. 

* Empirical evaluation papers evaluate existing problem situations or validate proposed solutions with scientific 
means, i.e. by empirical studies, experiments, case studies, simulations, formal analyses, mathematical proofs, 
etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the 
evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research 
method must be sound and appropriate. 

* Experience papers present problems or challenges encountered in practice, relate success and failure stories, 
or report on industrial practice. The focus is on ‘what’ and on lessons learned, not on an in-depth analysis of 
‘why’. The practice must be clearly described and its context must be given. Readers should be able to draw 
conclusions for their own practice. 

* Exploratory papers can describe completely new research positions or approaches, in order to face a generic 
situation arising because of new ICT tools, new kinds of activities or new IS challenges. They must describe 
precisely the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are 
inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness to 
addressing the identified situation.

For all the submissions and depending on their type, we invite the authors to be explicit about the research 
method used.

Contributions are welcome in terms of models, methods, techniques, architecture and technologies. 
Each contribution should explicitly address the engineering or the operation of information systems. 
Each contribution should clearly identify the information systems problem addressed as well as the expected 
positive impact of the contribution to information system engineering or operation. We strongly advise authors 
to clearly emphasize those aspects in their paper, including the abstract.

Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and 
evolution of information systems and organizations in the big data era could include (but are not 
limited to):

* Novel approaches to IS Engineering

Context-aware and adaptive systems 
Agile enterprise models and architecture 
Distributed, mobile and open architecture 
IS for collaboration 
Social computing 
Customer analytics 
Big data application in IS 
Application of AI in IS 
Data and business analytics 
Use of new visualization-techniques in IS 
Service science and innovation

* Models, Methods and Techniques in IS Engineering

Conceptual modeling, languages and design 
Requirements engineering 
Business process modeling, analysis, and engineering 
Process mining 
Models and methods for evolution and reuse 
Domain and method engineering 
Variability and configuration management 
Compliance and alignment handling 
Active and interactive models 
Quality of IS models for analysis and design

* Architectures and Platforms in and for IS Engineering

Big Data architectures 
Cloud-based IS engineering 
Service oriented IS engineering 
Multi-agent IS engineering 
Robotic Process Automation 
Multi-platform IS engineeering 
Cyber-physical systems 
Big data and the Internet of Things 
Blockchains 
Digital twins 
Workflow and PAIS systems 
Handling of real time data streams 
Content management and semantic Web

* Domain Specific and multi-aspect IS Engineering

IT governance 
eGovernment 
Smart City management 
Industrial ecology management 
IS for healthcare 
Educational IS 
Value and supply chain management 
Industry 4.0 
Sustainability and social responsibility management 
Predictive information systems 
Big Data and privacy 
Security and safety management 
Dark data processing


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Organising Committee
---------------------

Steering Committee Chairs
	Johann Eder, Alpen Adria Universität Klagenfurt, Austria 
	Barbara Pernici, Politecnico di Milano, Italy
	John Krogstie, Norwegian University of Science and Technology, Norway

General Chairs
	Marlon Dumas, University of Tartu, Estonia
	Andreas Opdahl, University of Bergen, Norway

Program Chairs
	John Krogstie, Norwegian University of Science and Technology, Norway
	Hajo Reijers, Vrije Universiteit Amsterdam, The Netherlands
	
Workshop Chairs
	Remco Dijkman, Eindhoven University of Technology, The Netherlands
	Raimundas Matulevicius, University of Tartu, Estonia

Forum Chairs
	Jan Mendling, Vienna University of Business and Economics, Austria
	Haralambos Mouratidis, University of Brighton, UK

Tutorial / Panel Chairs
	Massimo Mecella, University of Rome La Sapienza, Italy
	Selmin Nurcan, Université Paris 1 Panthéon Sorbonne, France

Doctoral Consortium Chairs
	Marite Kirikova, Riga Technical University, Latvia
	Audrone Lupeikiene, Vilnius University, Lithuania
	Ernest Teniente, Universitat Politècnica de Catalunya, Spain

Industry Chairs
	Dirk Draheim, Tallinn University of Technology, Estonia
	Darius Šilingas, NoMagic, Lithuania

Publicity Chairs
	Jennifer Horkoff, Chalmers University of Technology, Sweden
	Ingo Weber, CSIRO Data61 Lab, Australia
	Liang Zhang, Fudan University, China

Web and Social Media Chair
	Alexander Nolte, University of Pittsburgh & Carnegie Mellon University, USA

Organization Chairs
	Fabrizio Maggi, University of Tartu, Estonia
	Fredrik P. Milani, University of Tartu, Estonia

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Program Board Members
---------------------

Sjaak Brinkkemper	Utrecht University, Netherlands
Eric Dubois		Luxembourg Institute of Science and Technology, Luxembourg
Johann Eder		Alpen Adria Universität Klagenfurt, Austria
Xavier Franch		Universitat Politècnica de Catalunya, Spain
Paolo Giorgini		University of Trento, Italy
Matthias Jarke		RWTH Aachen University, Germany
Pericles Loucopoulos	The University of Manchester, United Kingdom
Heinrich C. Mayr	Alpen-Adria-Universität Klagenfurt, Austria
John Mylopoulos		University of Trento, Italy
Selmin Nurcan		Université Paris 1 Panthéon-Sorbonne, France
Andreas Opdahl		University of Bergen, Norway
Oscar Pastor		Universitat Politecnica de Valencia, Spain
Klaus Pohl		University of Duisburg-Essen, Germany
Henderik A. Proper	CRP Henri-Tudor, Luxembourg
Jolita Ralyte		University of Geneva, Switzerland
Manfred Reichert	Ulm University, Germany
Stefanie Rinderle-Ma	University of Vienna, Austria
Pnina Soffer		University of Haifa, Israel
Janis Stirna		Stockholm University, Sweden
Yannis Vassiliou	National Technical University of Athens, Greece
Barbara Weber		Technical University of Denmark, Denmark
Roel Wieringa		University of Twente, The Netherlands


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Program Committee Members
-------------------------

Wil van der Aalst	Eindhoven University of Technology, Netherlands
João Araújo 		Univeritat Nova de Lisboa, Portugal
Marko Bajec		University of Ljubljana, Faculty of Computer & Information Science, Slovenia
Joerg Becker		ERCIS, Westfälische Wilhelms-Universität Münster,Germany
Boualem Benatallah	The University of New South Wales, Australia
Albertas Caplinskas	Vilnius University, Lithuania
Valeria De Antonellis	Università degli Studi di Brescia, Italy/University of Brescia, Italy
Oscar Díaz		University of the Basque Country, Spain
Maria Dolors Costal CostaUniversitat Politècnica de Catalunya, Spain
Schahram Dustdar	TU Wien, Austria
João Falcão e Cunha 	Universidade do Porto, Portugal
Avigdor Gal		Technion, Israel Institute of Technology, Israel
Janis Grabis		Riga Technical University, Latvia
Giancarlo  Guizzardi 	Free University of Bozen-Bolzano, Italy 
Jun Han 		Swinburne University of Technology, Australia
Jennifer Horkoff	Chalmers and the University of Gothenburg, Sweden
Marta Indulska		University of Queensland, Australia
Marite Kirikova	 	Technical University, Latvia
Agnes Koschmider	Karlsruhe Institute of Technology, Germany
Marcello La Rosa	Queensland University of Technology, Australia
Henrik Leopold		Vrije Universiteit Amsterdam, The Netherlands
Lin Liu	 	 	University Beijing, China
Fabrizio Maria Maggi	University of Tartu, Estonia
Florian Matthes		Technische Universität München, Germany
Raimundas Matulevicius	University of Tartu, Estonia
Jan Mendling		Vienna University of Economics and Business, Austria/WU Vienna,Austria
Isabelle Mirbel		Université Côte d'Azur, Inria, CNRS, I3S, France
Boris Novikov		St Petersburg University, Russia
Jeff Parsons		Memorial University of Newfoundland, Canada
Anna Perini		Fondazione Bruno Kessler, Trento, Italy
Günther Pernul		Universität Regensburg, Germany
Pierluigi Plebani	Politecnico di Milano, Italy
Geert Poels		Ghent University, Belgium
Naveen Prakash		IGDTUW New Delhi, India
Manuel Resinas		Universidad de Sevilla, Spain
Antonio Ruiz Cortes	Universidad de Sevilla, Spain
Kurt Sandkuhl		The University of Rostock, Germany
Flavia Maria Santoro	Federal University of the State of Rio de Janeiro, Brazil
Kari Smolander		Laapanrantan, Finland
Monique Snoeck		KU Leuven, Belgium
Ernest Teniente		Universitat Politecnica de Catalunya, Spain
Olegas Vasilecas	Vilnius Gediminas Technical University, Lithuania
Panos Vassiliadis	University of Ioannina, Greece
Matthias Weidlich 	Humboldt-Universität zu Berlin, Germany
Hans Weigand		Tilburg University, Netherlands
Eric Yu			University of Toronto, Canada