[Tccc] CfP Second ACM International Workshop on Mobile Systems for Computational Social Science
Mirco Musolesi
m.musolesiatcs.bham.ac.uk
Wed Apr 24 15:47:00 EDT 2013
Second ACM International Workshop on Mobile Systems for Computational Social
Science
Colocated with ACM UbiComp'13
Zurich, Switzerland
9 September 2013
http://events.cs.bham.ac.uk/MCSS2013/
*Scope of the Workshop*
For decades, behavioral and social scientists have strived to understand the
complex combination of factors that influence the decisions, activities and
interactions of people in everyday life. Through conventional approaches, such
as self-reports and controlled laboratory studies, considerable progress has
been made. However, these methods have fundamental limitations in their ability
to unobtrusively collect fine-grain behavioral data in natural settings.Recent
advances in mobile sensing technology are promising to overcome these obstacles
by delivering radically different tools for in-situ human behavior monitoring
able to operate at much larger scales than previously thought possible.
Today, mobile sensing platforms primarily, mobile phones are causing
behavioral and social scientists to completely rethink how they study people in
real-world environments. A variety of factors have combined to put mobile
phones in this position. First, mobile phones are ubiquitous: there are
billions of mobile phone users and the market continues to grow worldwide.
Second, mobile phones are unobtrusive: due to their ubiquity, users are not
consciously aware of the presence of mobile phones, unlike purpose-built
devices that depend on user self-reports. Third, mobile phones are powerful and
sensor rich platforms: todays phones have many embedded sensors (e.g.,
accelerometer, Bluetooth, GPS, and magnetometer) that can accurately capture
user behavior; they are also equipped with powerful processors, which allow
applications to exploit computationally intensive algorithms to run locally on
the phones. Finally, due to their proliferation, mobile phones systems can
scale: experiments based on mobile applications can potentially reach millions
of people. Before we can fully leverage the potential of mobile phone sensing
systems, a variety of open problems must be addressed. For example, because
mobile phones are energy constrained, efficient algorithms able to make
accurate behavioral inferences from sensor data (with cloud resources
exploited when needed) must be developed. Similarly, fundamental challenges
remain in the management of personal data and the understanding of real-time
processing of sensor workloads. If these technical challenges can be overcome
mobile systems will represent a key building block for the emerging discipline
of computational social science.
The goal of this one-day workshop is to bring together researchers either
active, or interested, in mobile systems for social analysis and applications.
We anticipate a lively forum to discuss recent advances in the design,
implementation and evaluation of this new class of mobile systems. The workshop
will be open to contributions from researchers from various domains who tackle
these challenging research problems using their own unique perspective. The aim
is to discuss the many open issues in this area towards identifying novel
solutions to be investigated in addition to fostering collaborations among
the workshop participants. We will especially welcome highly innovative and/or
controversial contributions, debunking or confirming existing system design
methodology, for example by means of new experimental results.
We will invite to submit papers in the following areas:
- Design, implementation and evaluation of mobile systems for computational
social science;
- Experiment design of social and behavioural experiments using mobile
technologies;
- Design and implementation of algorithms for mobile system applications;
- Architectural issues, including middleware and operating systems support for
social applications;
- Integration of mobile technologies and cloud computing for social
applications;
- Energy efficiency issues in designing socially-aware mobile systems;
- Mobile social sensing systems;
- Implementation of mobile technologies for psychological and health
interventions;
- Integration of mobile and Web technologies for behavioral intervention;
- Deployment and testing of mobile systems for social analysis and applications;
- Data collection, anonomyzation and storage of social and behavioral data
collected by means of mobile systems;
- Privacy issues related to the design of socially-aware systems.
*Submission format*
Page length is up to 6 pages (10pt ACM format). The proceedings will be
published by ACM and will be available in the ACM Digital Library. Papers
should not be anonymized. Papers should be submitted electronically in PDF
through EasyChair. Instructions are available in the workshop Website.
*Workshop Chairs*
Nicholas Lane (Microsoft Research Asia, China)
Mirco Musolesi (University of Birmingham, UK)
*Programme Committee*
Andrew T. Campbell (Department of Computer Science, Dartmouth College, USA)
Tanzeem Choudhury (Information Science, Cornell University, USA)
David Coyle (Department of Computer Science, University of Bristol, UK)
Tamlin Conner (Department of Psychology, University of Otago, New Zealand)
Daniel Gatica-Perez (IDIAP, Switzerland)
Samuel Gosling (Department of Psychology, University of Texas at Austin, USA)
Inseok Hwang (Centre for Mobile Software Platform, KAIST, South Korea)
Neal Lathia (Computer Laboratory, University of Cambridge, UK)
Mikkel Baun Kjrgaard (Department of Computer Science, Aarhus University,
Denmark)
Cecilia Mascolo (Computer Laboratory, University of Cambridge, UK)
Matthias R. Mehl (Department of Psychology, University of Arizona, USA)
Emiliano Miluzzo (AT&T Labs, USA)
Petteri Nurmi (Helsinki Institute for Information Technology, Finland)
Thomas Phan (Samsung R&D Center, USA)
Veljko Pejovic (School of Computer Science, University of Birmingham, UK)
Peter Jason Rentfrow (School of Psychology, University of Cambridge, UK)
Mark Weal (School of Electronics and Computer Science, University of
Southampton, UK)
Cornelia Wrzus (Max Planck Institute for Human Development, Germany)
Lucy Yardley (School of Psychology, University of Southampton)
*Workshop Webchair*
Antonio Lima (University of Birmingham, UK)
--
Mirco Musolesi
School of Computer Science, University of Birmingham
Edgbaston B15 2TT Birmingham, United Kingdom
Web: http://www.cs.bham.ac.uk/~musolesm
_______________________________________________
IEEE Communications Society Tech. Committee on Computer Communications
(TCCC) - for discussions on computer networking and communication.
Tccc at lists.cs.columbia.edu
https://lists.cs.columbia.edu/cucslists/listinfo/tccc
More information about the TCCC
mailing list