1st ACM Workshop on Mobile Systems for Computational Social Science

Call for Papers
First ACM International Workshop on Mobile Systems for Computational
Social Science
Colocated with ACM MobiSys’12
Low Wood Bay, The Lake District, United Kingdom
25 June 2012

Scope of the Workshop
For decades, behavioral scientists have struggled to understand the
various factors that influence behavior. Observational and self-report
methods have shed some light on those factors, but the nature of such
methods can elicit responses that are not always completely accurate.
Furthermore, such methods usually capture behavior as it occurs in a
laboratory as opposed to behavior as it naturally occurs in everyday
life. Recent advances in mobile technology provide some extremely
powerful tools for overcoming these obstacles.

Indeed, mobile phones represent an ideal platform for studying
behavior and interactions in real-life contexts. One reason is because
mobile phones are ubiquitous: there are billions of mobile phone users
and the market has seen unprecedented growth in recent years.
Secondly, mobile phones are unobtrusive: because of their ubiquity,
users are not generally aware of the presence of mobile phones, unlike
behavioral monitoring in laboratories or through purpose-built devices
that depend on self-reports. Thirdly, mobile phones are powerful and
sensor rich platforms: modern mobile phones have many sensors embedded
in them (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.
There are many open challenges in terms of system design: for
instance, since mobile phones are battery powered, efficient
algorithms have to be developed to derive accurate inferences from
sensor data, and cloud resources can be exploited to support complex
computations. Finally, given their diffusion, mobile phones allow to
build systems at scale, i.e., supporting mobile applications
potentially used by millions of people at the same time. Data
collected by means of mobile phones can then be used for analysis of
human behavior and interactions. There are also many challenges in
this area, especially related to the management of personal data and
real-time processing of information. Mobile systems will represent a
key foundational component of the emerging discipline of computational
social science.

The goal of this workshop is to bring together researchers working or
interested in mobile systems for social analysis and applications. We
wish to build a lively forum to propose and discuss recent advances in
designing, implementing and evaluating this emerging class of mobile
systems. The workshop will be open to contributions from researchers
tackling these challenging research problems from different
perspectives. The aim is to discuss the many open issues in this area
trying to identify novel solutions to be investigated, also by means
of collaborations among the participants of the workshop. We will
welcome especially highly innovative and/or controversial
contributions, debunking or confirming existing system design
methodology, for example by means of new experimental results.

We 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
– 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
– Energy efficiency issues in designing socially-aware mobile systems;
– Mobile social sensing systems;
– Implementation of mobile technologies for psychological and health
– Integration of mobile and Web technologies for behavioral intervention;
– Deployment and testing of mobile systems for social analysis and
– Data collection, anonimyzation 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.

Important Dates
Submission deadline: March 31, 2012
Notification deadline: May 2, 2012
Camera-ready deadline: TBA
Workshop date: June 25, 2012

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