| Subject: | [WI] 2nd Call for Papers TPSIE Workshop |
|---|---|
| Date: | Wed, 27 Mar 2019 08:36:51 +0000 |
| From: | Koschmider, Agnes <agnes.koschmider@kit.edu> |
| Reply-To: | Koschmider, Agnes <agnes.koschmider@kit.edu> |
| To: | wi@aifb.uni-karlsruhe.de <wi@aifb.uni-karlsruhe.de> |
Call for Papers
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1st Workshop on Trust and Privacy Aspects of Smart Information
Environments (TPSIE)
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https://tpsie.com/
Workshop description
---------------------
Personalized support and services, based on data analytics,
have been on the rise the last decade. The scale and
dimensions of data gathering and shared in smart information
environment (SIE) is sometimes hard for users (data subjects)
to fathom and leaves them wondering when, why and how data was
collected, or information generated. Much of this is due to
the combined power of an abundance of data, data analytics
methods and machine learning. Machine learning may, for
example, be used to support (or automate) repetitive work,
warnings of potential errors, and sense non-compliant
behavior.
Despite the many advantages that such smart information
environments offer, there are concerns about the responsible
use of the data collected. Specifically, the new European
regulations on data protection and privacy, GDPR, have raised
awareness on privacy issues and causes concerns for designers
and developers of smart information systems. In the age of
information and digital technology, the focus of privacy has
been on the protection of data directly or indirectly
pertaining to a person; i.e. protection of personal
information and reduction of risks for data subjects. Emphasis
has been on data security and several methods, frameworks and
techniques have been developed for ensuring appropriate data
security. However, in the age of big data, machine learning,
ubiquitous computing and social networks, such a data-centric
view is inadequate and the need for a more user-centric view
of privacy and protection of user data are required. In fact,
with increasing availability of data, technology to aggregate
and the possibility to conduct sophisticated analyses, the
need to protect data and informational privacy is more
important than ever before. This is also critical to build
smart information environments that users can trust.
For a user-centric view, research has shown that there is a
mismatch between legitimate concerns about privacy and actual
behavior when it comes to sharing personal information (the
"Privacy Paradox"). For those building systems it is necessary
to navigate the (users) needs for personalization and wishes
to remain anonymous ("Personalization Paradox"). It is indeed
this paradox that SIE designers and organizations are faced
with when designing services to support people in the various
arenas in their personal or work lives and to enhance and
foster knowledge sharing among people. Many appreciate the
personalized recommendations on websites or personalized
messages and notifications received through social media and
other online services but oppose the invasion of their
privacy. This in turn requires IT designers and developers of
SIE to practice privacy-by-design or privacy-by-architecture
within the design of SIE and calls for anonymization and
cryptographical data protection techniques for log files.
Workshop goals
---------------
The need to discuss issues related to privacy and trust in
smart information environments is an important and highly
relevant topic. This workshop's main objective is to start a
dialogue and bring together a multi-disciplinary group of
researchers, industry and practitioners to share their
research, ideas, experiences and concerns in area of
organizational and technology privacy and trust in smart
information environments. The topics of interest for this
workshop, but not limited to, are provided below.
Workshop topics
- Privacy and trust by design in SIE
- Privacy and trust in SIE
- System design for privacy awareness
- Privacy and trust in (big) data analytics
- Privacy-preserving data/process mining
- Privacy engineering for (event) logs
- Privacy and trust in machine learning
- Privacy and trust in data aggregation
- Privacy and trust in personalized services
- Privacy and trust at the workplace
- Privacy and trust and human factors
- Privacy and trust in organizational data collection
- Empirical analysis of GDPR compliance in service
repositories
- End-user privacy and trust control/management in SIE
- Techniques for GDPR compliant modeling
- Methods and techniques for privacy and trust management in
SIE
Important dates
---------------
Paper submission deadline: 31 March 2019
Notification of acceptance: 30 April 2019
Early Bird Registration: 30 May 2019
Workshop day: between 18-20 September
*Deadlines correspond to anywhere on earth ('AoE' or 'UTC-12')
Submission guidelines
Authors should submit original, unpublished research papers.
All papers must not simultaneously be submitted to another
journal or conference. There are two types of submissions:
- Full Paper submissions have a maximum of 12 pages.
- Short Paper submissions have a maximum of 6 pages.
Papers and abstracts should be submitted through the
submission web site in PDF format. Authors should follow the
Springer formatting for Lecture Notes on Computer Science as
indicated here:
http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
By submitting a paper, authors implicitly agree that at least
one of them will register to the conference and present the
paper. It is expected that at least one author will register
for each accepted paper. Only papers that have been presented
by their authors during the conference will be published in
the conference proceedings.
The proceedings of the I3E 2019 workshops are planned to be
published as a book with the main conference proceedings by
Springer-Verlag in its Lecture Notes in Computer Science
(LNCS) series.
Submission system
-----------------
Submission of the TPSIE workshop will be done via Easy Chair
at:
https://easychair.org/conferences/?conf=tpsie2019
Journal Special Issue
---------------------
We are planning to invite the authors of the best papers to
submit an extended version of the papers for a special issue
of the EMISA Journal (https://www.emisa-journal.org/emisa)
focused on trust and privacy in combination with conceptual
modeling. Further details are to be published soon.
Organizing Committee
--------------------
Felix Mannhardt, SINTEF
Sobah Abbas Petersen, Norwegian University of Science and
Technology
Agnes Koschmider, Karlsruhe Institute of Technology
Program committee
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Wil M. P. van der Aalst, RWTH Aachen University
Anne Adams, Open University
Nathalie Baracaldo, IBM Almaden Research Center
Andrea Burratin, Technical University of Denmark
Jörg Cassens, University of Hildesheim
Anders Kofod-Petersen, Alexandra Institute
Renata Medeiros de Carvalho, Eindhoven University of
Technology
Mauro Conti, University of Padua
Martin Degeling, Ruhr-Universität Bochum
Judith Michael, RWTH Aachen University
Manuel Oliveira, SINTEF
Ali Sunyaev, Karlsruhe Institute of Technology
Pieter J. Toussaint, Norwegian University of Science and
Technology
Hans Torvatn, SINTEF
Matthias Weidlich, Humboldt University of Berlin
Moe Wynn, Queensland University of Technology
Ali Sunyaev, Karlsruhe Institute of Technology
Pieter Toussaint, Norwegian University of Science and
Technology
Hans Torvatn, SINTEF
Matthias Weidlich, Humboldt University of Berlin