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Yu ENOKIBORI <[log in to unmask]>
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Yu ENOKIBORI <[log in to unmask]>
Wed, 10 Jun 2015 10:41:27 +0900
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Dear Colleagues,

We are pleased to announce the 4th ACM International
Workshop on Mobile Systems for Computational Social Science (MCSS).
The deadline is extended to June 12, 2015 (5:00 pm PDT)

Please kindly forward this email to interested colleagues,
researchers, and scholars.

**Important Dates**
Paper submission due : June 12, 2015 (5:00 pm PDT)
Notification of acceptance : June 26, 2015
Camera Ready submission : July 3, 2015
Workshop : September 8, 2015

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*4th ACM International Workshop on Mobile Systems for Computational
Social Science (MCSS)*

                            Co-located with ACM UbiComp'15
                                           Osaka, Japan
                                    8 September 2015

**** Due to multiple requests from researchers, we have extended the
paper deadline by one week. The new deadline is *June 19*. Please
consider submitting your work once again!!! ****

*Scope of the Workshop*

The ACM Workshop on “Mobile Systems for Computational Social Science”
brings together researchers working at computer science and social
sciences to explore and discuss recent advances, radical ideas, and
hands-on experiences in designing and evaluating new types of mobile
systems and advancing social science studies. This is the fourth
edition of the workshop, continuing the success of three previous
editions which brought researchers from various areas including
computer science, psychology, sociology, political science,
communication; the previous three workshops were co-located with ACM
MobiSys’12, ACM UbiComp’13, ACM UbiComp’14, respectively. This year we
expect great interest not only from the researchers already actively
working in this area but also from practitioners in industry and the
mobile and social computing communities as a whole.

MCSS is motivated by the observations that smartphones are opening
unprecedented opportunities to conduct social science studies in
large-scale and longitudinal fashions. They enable unobtrusive
collection of rich behavioral dataset such as physical sensory
readings and on-line application use patterns. Also, smartphones can
be used as 24/7 gateways for real-time intervention and feedback. Such
powerful capabilities can facilitate larger-scale and timely social
studies in a cost-effective way beyond traditional study methods such
as self-reports, interviews, surveys, and observations under
laboratory settings. Many exploratory works have proven that mobile
phones are a promising computational platform upon which we plan,
develop, and conduct various experimental studies related to social
science disciplines. On the other hand, we are still facing
multi-lateral challenges to truly take advantage of such
opportunities, which cover various issues in mobile systems, data
analytics, application and UI design for social studies, etc.

MCSS 2015 expect submissions on all aspects of mobile systems for
computational social science including mobile system design, system
technology, application, data analysis (qualitative or qualitative)
and social experiments in mobile environment, mobile crowd sourcing,
etc. Submissions covering social science research in mobile computing
environment are especially encouraged.

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 behavioral 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, anonymization and storage of social
and behavioral data collected by means of mobile systems
•              Data protection and privacy
•              Inference of high-level contexts beyond location and
activity (e.g., intention, preference, attention, emotion)
•              Large-scale data collection and experiments with crowdsourcing
•              Deep personal analytics and self-quantization for
persuasive mobile applications
•              Application of IoT technology for social science studies

*Submission Format*
Paper submissions will be limited to 10 pages in ACM SIGCHI Extended
Abstracts Format. Please visit
for more information.

*Important Dates*
Paper submission due : June 12, 2015 (5:00 pm PDT)
Notification of acceptance : June 26, 2015
Camera Ready submission : July 3, 2015
Workshop : September 8, 2015

Program co-chair:
-       Youngki Lee (Singapore Management University, SG)
-       Inseok Hwang (IBM Resarch, Austin, US)
Publicity chair:
-       Jin Nakazawa (Keio University, JP)
Technical program committee:
-       Andrew Campbell (Department of Computer Science, Dartmouth College, USA)
-       Hao Hua Chu (Department of Computer Science and Information
Engineering, National Taiwan University, Taiwan)
-       Yu Gu (IBM Research - Austin, USA)
-       Jason Hong (School of Computer Science, Carnegie Mellon University, USA)
-       Eric Hunter (Department of Communicative Sciences and
Disorders, Michigan State University, USA)
-       Mikkel Baun Kjærgaard (Center for Smart Energy Solutions,
University of Southern Denmark, Denmark)
-       Jeonggil Ko (Electronics and Telecommunications Research
Institute (ETRI), Korea)
-       Nicholas Lane (Bell Labs, UK)
-       Cecilia Mascolo (Computer Laboratory, University of Cambridge, UK)
-       Mirco Musolesi (Department of Geography, University College London, UK)
-       Jin Nakazawa, Keio University, JP
-       Nuria Oliver (Telefonica Research, Spain)
-       Peter Jason Rentfrow (School of Psychology, University of Cambridge, UK)
-       Junehwa Song (Department of Computer Science, KAIST, Korea)
-       Koji Yatani (Department of Electrical Engineering and
Information systems, University of Tokyo, Japan)

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