CASPer 2015 - 2nd International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications
Date2015-03-27
Deadline2014-11-26
VenueSt. Louis, USA - United States
Keywords
Websitehttps://casper2015.uns.ac.rs
Topics/Call fo Papers
CASPer 2015
2nd International Workshop on Crowd Assisted Sensing,
Pervasive Systems and Communications
St. Louis, USA, March 27, 2015
In Conjunction with IEEE PerCom 2015
St. Louis, USA, March 23-27, 2015
***
Dear Colleagues,
Please, find below the CfP for the 2nd International Workshop on Crowd
Assisted Sensing, Pervasive Systems and Communications (CASPer 2015),
held in conjunction with the 13th IEEE International Conference on
Pervasive Computing and Communications (PerCom 2015).
This call for papers and other information about the workshop
can be found at the following website:
http://casper2015.uns.ac.rs
Call for Papers
With phones in their pockets, millions of people have access to
sensing, computation, and connectivity, making it possible to harness
the power of the crowd to collect and share data about their
surroundings and experiences on a massive scale. Crowdsensing/
crowdsourcing is a novel data collection paradigm that leverages this
vast mobile sensor network, making it possible to expand the scope of
research endeavors and address civic issues without requiring the
purchase of specialized sensors or the installation and maintenance of
network infrastructure. Data collected using such applications may come
from unexpected yet interesting and valuable sources and may allow for
collecting data in previously inaccessible locations and contexts.
This new data collection paradigm introduces several research
challenges. Privacy is a primary concern for users that are
contributing sensitive or identifying data. Incentive mechanisms for
participation may be needed to encourage people to volunteer their
resources to collect data. Methods are needed for processing large-
scale, user-generated data sets into meaningful information, and for
assessing and understanding the quality of information to help guide
decision-making. Approaches that involve the crowd in such data
analysis tasks, with humans serving as a source of semantic
information, interpretation, and evaluation of crowdsensing/
crowdsourcing data, can also help to build an understanding of the
physical, computational, and socio-technical environment.
The objective of this workshop is to provide a forum for discussion,
debate, and collaboration focused on ideas, trends, techniques, and
recent advances in crowdsensing/crowdsourcing. We invite original
research contributions that advance the state of the art as well as
position papers that pose a new direction or present a controversial
point of view. Topics of interest include, but are not limited to:
* Algorithms to handle, process, and visualize large-scale
crowdsensing/crowdsourcing data sets
* Data integrity, security, privacy, and provenance for
crowdsensing/crowdsourcing data
* Determining and assessing Quality of Information for
crowdsensing/crowdsourcing data
* Crowd-assisted (human-in-the-loop) approaches to analyzing
crowdsensing/crowdsourcing data
* Context modeling and reasoning in crowdsensing/crowdsourcing
applications
* Incentive mechanisms for participation in
crowdsensing/crowdsourcing applications
* Supporting crowdsensing/crowdsourcing in heterogeneous networks
* Crowdsensing/crowdsourcing for pervasive systems
* Novel use of sensors for crowdsensing/crowdsourcing applications
* Energy-efficient mechanisms for crowdsensing/crowdsourcing
applications
* Programming abstractions and middleware for
crowdsensing/crowdsourcing applications
* Novel large-scale crowdsensing/crowdsourcing applications
Submitted papers must be original contributions that are unpublished
and are not currently under consideration for publication by other
venues. Submissions are limited to a maximum length of 6 pages and must
adhere to IEEE format (2 column, 10 pt font). Templates are available
via the workshop website. Accepted papers will be published in the IEEE
PerCom Workshop Proceedings.
Note, that each accepted paper requires a full PERCOM registration
(no registration is available for workshops only)!
Important Dates
Paper submissions: November 26, 2014
Paper notifications: January 9, 2015
Camera ready submissions: January 28, 2015
General Chairs
Miguel Labrador, University of South Florida, USA
Thomas Silverston, University of Lorraine/Inria-Nancy, France
Programme Chairs
Karoly Farkas, Budapest University of Technology and Economics, Hungary
Luke Dickens, Imperial College London, UK
Publicity Chair
Imre Lendak, University of Novi Sad, Serbia
Technical Program Committee
Joel Branch, IBM, USA
Licia Capra, University College London, UK
Murat Demirbas, University of Buffalo, USA
Salil Kanhere, University of New South Wales, UK
Daniel Fernandez Lanvin, Universidad de Oviedo, Spain
Andres Marin Lopez, Universidad Carlos III. Madrid, Spain
Paul Lukowicz, DFKI, Germany
Emil Lupu, Imperial College London, UK
Mary Lou Maher, University of North Carolina at Charlotte
Paulo Mendes, COPELABS - University Lusofona, Portugal
Archan Misra, Singapore Management University, Singapore
Ilona Murynets, AT&T, USA
Andrea Passarella, IIT-CNR, Italy
Jamie Payton, The University of North Carolina at Charlotte, USA
Paul Roe, Queensland University of Technology, Australia
Gerhard Troster, ETH Zurich, Switzerland
Zhiwen Yu, Northwestern Polytechnical University, China
We hope to see you next March in St. Louis.
2nd International Workshop on Crowd Assisted Sensing,
Pervasive Systems and Communications
St. Louis, USA, March 27, 2015
In Conjunction with IEEE PerCom 2015
St. Louis, USA, March 23-27, 2015
***
Dear Colleagues,
Please, find below the CfP for the 2nd International Workshop on Crowd
Assisted Sensing, Pervasive Systems and Communications (CASPer 2015),
held in conjunction with the 13th IEEE International Conference on
Pervasive Computing and Communications (PerCom 2015).
This call for papers and other information about the workshop
can be found at the following website:
http://casper2015.uns.ac.rs
Call for Papers
With phones in their pockets, millions of people have access to
sensing, computation, and connectivity, making it possible to harness
the power of the crowd to collect and share data about their
surroundings and experiences on a massive scale. Crowdsensing/
crowdsourcing is a novel data collection paradigm that leverages this
vast mobile sensor network, making it possible to expand the scope of
research endeavors and address civic issues without requiring the
purchase of specialized sensors or the installation and maintenance of
network infrastructure. Data collected using such applications may come
from unexpected yet interesting and valuable sources and may allow for
collecting data in previously inaccessible locations and contexts.
This new data collection paradigm introduces several research
challenges. Privacy is a primary concern for users that are
contributing sensitive or identifying data. Incentive mechanisms for
participation may be needed to encourage people to volunteer their
resources to collect data. Methods are needed for processing large-
scale, user-generated data sets into meaningful information, and for
assessing and understanding the quality of information to help guide
decision-making. Approaches that involve the crowd in such data
analysis tasks, with humans serving as a source of semantic
information, interpretation, and evaluation of crowdsensing/
crowdsourcing data, can also help to build an understanding of the
physical, computational, and socio-technical environment.
The objective of this workshop is to provide a forum for discussion,
debate, and collaboration focused on ideas, trends, techniques, and
recent advances in crowdsensing/crowdsourcing. We invite original
research contributions that advance the state of the art as well as
position papers that pose a new direction or present a controversial
point of view. Topics of interest include, but are not limited to:
* Algorithms to handle, process, and visualize large-scale
crowdsensing/crowdsourcing data sets
* Data integrity, security, privacy, and provenance for
crowdsensing/crowdsourcing data
* Determining and assessing Quality of Information for
crowdsensing/crowdsourcing data
* Crowd-assisted (human-in-the-loop) approaches to analyzing
crowdsensing/crowdsourcing data
* Context modeling and reasoning in crowdsensing/crowdsourcing
applications
* Incentive mechanisms for participation in
crowdsensing/crowdsourcing applications
* Supporting crowdsensing/crowdsourcing in heterogeneous networks
* Crowdsensing/crowdsourcing for pervasive systems
* Novel use of sensors for crowdsensing/crowdsourcing applications
* Energy-efficient mechanisms for crowdsensing/crowdsourcing
applications
* Programming abstractions and middleware for
crowdsensing/crowdsourcing applications
* Novel large-scale crowdsensing/crowdsourcing applications
Submitted papers must be original contributions that are unpublished
and are not currently under consideration for publication by other
venues. Submissions are limited to a maximum length of 6 pages and must
adhere to IEEE format (2 column, 10 pt font). Templates are available
via the workshop website. Accepted papers will be published in the IEEE
PerCom Workshop Proceedings.
Note, that each accepted paper requires a full PERCOM registration
(no registration is available for workshops only)!
Important Dates
Paper submissions: November 26, 2014
Paper notifications: January 9, 2015
Camera ready submissions: January 28, 2015
General Chairs
Miguel Labrador, University of South Florida, USA
Thomas Silverston, University of Lorraine/Inria-Nancy, France
Programme Chairs
Karoly Farkas, Budapest University of Technology and Economics, Hungary
Luke Dickens, Imperial College London, UK
Publicity Chair
Imre Lendak, University of Novi Sad, Serbia
Technical Program Committee
Joel Branch, IBM, USA
Licia Capra, University College London, UK
Murat Demirbas, University of Buffalo, USA
Salil Kanhere, University of New South Wales, UK
Daniel Fernandez Lanvin, Universidad de Oviedo, Spain
Andres Marin Lopez, Universidad Carlos III. Madrid, Spain
Paul Lukowicz, DFKI, Germany
Emil Lupu, Imperial College London, UK
Mary Lou Maher, University of North Carolina at Charlotte
Paulo Mendes, COPELABS - University Lusofona, Portugal
Archan Misra, Singapore Management University, Singapore
Ilona Murynets, AT&T, USA
Andrea Passarella, IIT-CNR, Italy
Jamie Payton, The University of North Carolina at Charlotte, USA
Paul Roe, Queensland University of Technology, Australia
Gerhard Troster, ETH Zurich, Switzerland
Zhiwen Yu, Northwestern Polytechnical University, China
We hope to see you next March in St. Louis.
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Last modified: 2014-09-23 22:03:10