-------- Forwarded Message --------
CAiSE’19 - 31th International Conference on Advanced Information
Systems Engineering
3-7 June 2019, Roma, Italy
https://www.caise19.it/
Abstract submission: 23 November 2018
Paper submission: 30 November 2018‚ 23:59 PST (strict)
Notification to authors: 28 February 2019
Workshops proposals submission: 1 November 2018
Theme: Responsible Information Systems
Modern companies and governments are increasingly software-managed
as they become more digitalized and automated. The effects of
digitalization enabled new economic models and transformed entire
industries. Trends like IoT, big data analytics, artificial
intelligence, machine learning, as well as blockchain technology
are expected to push digital transformation even further. Changes
occur at an ever-increasing pace, require from organizations high
velocity decision-making and flexible information systems that can
rapidly align to these changes. While many of these technologies
bear huge potential for information systems, increasing
flexibility and supporting decision-making, they also raise
privacy, security, and ethical concerns and require
trustworthiness. This poses new challenges for information systems
engineers.
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 Responsible Information Systems.
This year‚ the conference theme acknowledges the need for
designing information systems that are not only flexible enough
for digital transformation, but are also responsible by
considering privacy, security, and ethical concerns and providing
trustworthiness.
Besides offering an exciting scientific program, CAiSE’19 will
feature a best paper award, a special issue, and a PhD-thesis
award:
- Best Paper Award‚ prize 1 000 euros (sponsored by Springer)
- Special Issue of CAiSE’19 in the Information Systems Journal‚
- PhD-Thesis Award‚ best PhD thesis of a past CAISE Doctoral
Consortium author (co-sponsored by the CAiSE Steering Committee
and Springer).
Papers should be submitted in PDF format. Submissions must conform
to Springer‚ 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:
https://www.springer.com/comp/lncs/authors.html
Submission is done through EasyChair at the following page:
https://easychair.org/conferences/?conf=caise19
The results described must be unpublished and must not be under
review elsewhere. Three to five keywords characterising the paper
should be listed at the end of the abstract.
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. Accepted papers will be presented at CAiSE’19 and
published in the conference proceedings in the Springer Lecture
Notes in Computer Science (LNCS).
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.
The type of the submission must be indicated in the first page of
the paper, under the title.
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 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 for IS Engineering
Big Data architectures
Cloud-based IS engineering
Service oriented IS engineering
Multi-agent IS engineering
Robotic Process Automation
Multi-platform IS engineering
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
---------------------
Organising Committee
---------------------
Steering Committee Chair
+ Johann Eder, Alpen Adria University Klagenfurt, Austria
General Chairs
+ Barbara Pernici, Politecnico di Milano, Italy
+ Massimo Mecella, Sapienza Università di Roma, Italy
Program Chairs
+ Paolo Giorgini, Università di Trento, Italy
+ Barbara Weber, Technical University of Denmark, Denmark
Workshop Chairs
+ Henderik A. Proper, Luxembourg Institute for Science and
Technology, Luxembourg
+ Janis Stirna, Stockholm University, Sweden
Forum Chairs
+ Cinzia Cappiello, Politecnico di Milano, Italy
+ L.M. (Marcela) Ruiz Carmona, Universiteit Utrecht, the
Netherlands
Tutorial / Panel Chairs
+ Devis Bianchini, Università di Brescia, Italy
+ Marlon Dumas, University of Tartu, Estonia
Doctoral Consortium Chairs
+ Manfred Reichert, Ulm University, Germany
+ Pierluigi Plebani, Politecnico di Milano, Italy
+ Marcello La Rosa, University Melbourne, Australia
Organizing Local Chair
+ Andrea Marrella, Sapienza Università di Roma
Web and Social Media Chair
+ Francesco Leotta, Sapienza Università di Roma
Publicity Chairs
+ Artem Polyvyanyy, University Melbourne, Australia
+ Estefania Serral Asensio, KU Leuven, Belgium
+ Lin Liu, Tsinghua University, China
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org