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Tue, 2 Jun 2015 10:38:03 +0900
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Yu Enokibori <[log in to unmask]>
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Dear Colleagues,

We are pleased to announce of the call for 4th ACM International Workshop on Mobile Systems for Computational Social Science (MCSS). The deadline is June 12, 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

Regards,
=========================================================

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

 

                            Co-located with ACM UbiComp'15                           

                                           Osaka, Japan

                                    8 September 2015         

                       http://ares.smu.edu.sg/mcss15/

 

 

*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 http://ares.smu.edu.sg/mcss15/call.html 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


Organizers:

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)
- Hayley Hung (Intelligent Systems Department, Delft University of Technology, The Netherlands)
- 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 (Faculty of Environment and Information Studies, Keio University, Japan)
- 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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