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SmartUni 2014 : Second International Workshop SMART UNIVERSITY 2014


When Nov 14, 2014 - Nov 14, 2014
Where London
Submission Deadline Sep 22, 2014
Notification Due Oct 6, 2014
Final Version Due Oct 20, 2014
Categories    context   sensors   artificial intelligence   smart environment

Call For Papers

** Apologies if you receive multiple copies of this announcement **
** Please forward to anyone who might be interested **

for the 2nd International Workshop


14 November 2014, University of West London, UK

** Paper submission deadline (extended): 22 September, 2014**

Sharing data and information and providing transparency are a basis for
innovation and academic growth. Linking personal experience to group
and university-wide experience helps develop an evidence-based view on
the organisation. This new view helps revealing strengths and weaknesses
of the organisation. Sensors can, for example, easily track temperature,
humidity, and noise level in and outside the classroom; they can also
help automatically determine actual class size. In addition, mobile
sensing solutions can enhance social contexts and enable social media,
especially offline interactions mediated by mobile phones or
specialised sensors.

By adopting Linked Data for the university as a platform, links can be
set between internal organisational and sensor data and such external
data sources as weather news or traffic feeds, thereby connecting these
sources into a single information space. The use of a common data model
enables the use of generic applications that operate on that information
space. Additionally the common data model presents opportunities for
deriving new insights from that information space.

In this second workshop of the series we want to further explore the
possibilities of acquiring and using contextual data. By letting
students andteachers tell their story with automatically generated
environmental and social data underpinning their story, the university
as a platform can helpprospective studentsandlecturersmake an
informed decision about their participation in the respective
environment. For example, collectingsensor data on noise levels and
temperature can help backing up quality complaints about co-located
noisy classes or uncomfortable roomtemperatures.

Low-cost motion detection and other sensors coupled with low-cost
credit-card sized computers such as the Raspberry Pi open up
opportunities to equip rooms with sensors. As the Raspberry Pi is a
full-fledged computing device running one cannot only acquire data,
but also process it in context. Additionally the sensor-hubs can
form radio frequency based mesh networks allowing for an
infrastructure independent communication of the acquired and
pre-processed sensor data. Smartphones with their sensors and
processing power could collect and provide additional information
and context.

Several types of contributions are of interest to this workshop,
related to such areas as Context-aware Computing, Ambient
Intelligence, Data Mining, Technology-enhanced Teaching and
Learning, Linked Data, Pedagogy, Psychology, Explanation, Software
Architectures, Embedded sensors.

The main goal of the Smart University workshop is to provide a
forum for the discussion of trends, research issues and practical
experiences in all the areas illustrated above, to understand the
commonalities and differences and advance the state of the art in
all of them. Ideally the workshop is able to forge shared goals
and benefit from shared experiences. In addition to presentations
this workshop will offer organised and open spaces for targeted
discussions. We will invite participants to bring and demo their
hardware and software at the workshop in a specific session.

Suggested topics for contributions (not restricted to IT views):
* Social software and context
* Low-cost sensors and Linked Data
* Improving learning and teaching experience using sensors
* Data-driven pedagogy
* Personalising big data for use in the teaching and learning
* Ambient intelligence and teaching/learning
* Scaling effects and approaches
* Physical installation and maintenance of sensor/unit arrays
* Context formalisation with regard to minimal effort/resource
* Educational data mining
* Exploratory data mining and context analysis
Submissions on additional topics are welcome as well.

Workshop submissions will be electronic, in pdf format only, using
the EasyChair submission system linked from the workshop website.

Papers must be written in English and not exceed 12 pages in the
Springer LNCS format (see workshop website for details). At least
one author of each accepted paper must register for the workshop
and present the contribution in order to be published in the
workshop proceedings. Three members of the program committee
will review each submission.

Those wishing to participate without a paper submission should
submit a brief synopsis of their relevant work or a brief
statement of interest.

The papers will be published as online proceedings at
The organising committee is considering issuing a post workshop
publication as a special issue of UWL’s VISTAS journal.

If you have questions please contact the chairs using the following
email address:

Submission of workshop papers: 22 September 2014
Notifications of acceptance: 6 October 2014
Camera-ready copies: 20 October 2014
Workshop: 14 November 2014

The schedule will be made available on the workshop website. See the
workshop website for an agenda overview und links to past workshops.

Martin Atzmueller, University of Kassel, Germany
atzmueller (at) cs (dot) uni-kassel (dot) de
Samia Oussena, University of West London, UK
samia (dot) oussena (at) uwl (dot) ac (dot) uk
Thomas Roth-Berghofer, University of West London, UK
thomas (dot) roth-berghofer (at) uwl (dot) ac (dot) uk

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