[Tccc] Final CfP: Second ACM International Workshop on Mobile Systems for Computational Social Science

Mirco Musolesi m.musolesiatcs.bham.ac.uk
Tue May 28 04:32:29 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*

Paper submissions will be limited to 10 pages (10pt ACM SIGCHI archival 
format). Please note that this is a different format corresponding to 6 pages 
in the traditional SIG proceedings template used for the main conference. We 
indeed welcome short papers (such as position papers) of less than 10 pages in 
length. The proceedings of the workshop will appear in the UbiComp supplemental 
proceedings and in the ACM Digital Library. 

*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


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