Second ACM International Workshop on Mobile Systems for Computational Social Science

Second ACM International Workshop on Mobile Systems for Computational
Social Science

Colocated with ACM UbiComp’13

Zurich, Switzerland

9 September 2013

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

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: today’s 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

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
– Design and implementation of algorithms for mobile system
– 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
– Deployment and testing of mobile systems for social analysis and
– 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)

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