Thursday, January 14, 2016

[DMANET] Deadline Extension (Jan 25 2016) ParSocial 2016 (IPDPS Workshop) IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems

**Deadline Extension: Jan 25, 2016**


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CALL FOR PAPERS
The 1st IEEE Workshop on Parallel and Distributed Processing for
Computational Social Systems
May 27 2016, Chicago Hyatt Regency, Chicago, Illinois USA.
Conference Website : http://www.lcid.cs.iit.edu/parsocial
Contact Email : parsocial@cs.iit.edu
(In conjunction with IEEE International Parallel & Distributed Processing
Symposium (IPDPS))

IMPORTANT DATES
Extended Paper submission deadline : January 25, 2016
Notification of acceptance : February 14, 2016
Camera-ready papers : February 21, 2016
Workshop : May 27, 2016
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ABOUT PARSOCIAL
Computational methods to represent, model and analyze problems using social
information have come a long way in the last decade. Computational methods,
such

as social network analysis, have provided exciting insights into how social
information can be utilized to better understand social processes, and
model the

evolution of social systems over time. We have also seen a rapid
proliferation of sensor technologies, such as smartphones and medical
sensors, for

collecting a wide variety of social data, much of it in real time.
Meanwhile, the emergence of parallel architectures, in the form of
multi-core/many-core

processors, and distributed platforms, such as MapReduce, have provided new
approaches for large-scale modeling and simulation, and new tools for
analysis.

These two trends have dramatically broadened the scope of computational
social systems research, and are enabling researchers to tackle new
challenges. These

challenges include modeling of real world scenarios with dynamic and
real-time data, and formulating rigorous computational frameworks to embed
social and

behavioral theories. The 1st IEEE Workshop on Parallel and Distributed
Processing for Computational Social Systems (ParSocial) provides a platform
to bring

together interdisciplinary researchers from areas, such as computer
science, social sciences, applied mathematics and computer engineering, to
showcase

innovative research in computational social systems that leverage the
emerging trends in parallel and distributed processing, computational
modeling, and

high performance computing.

The papers selected for ParSocial will be published in the workshop
proceedings. Proceedings of the workshops are distributed at the conference
and are

submitted for inclusion in the IEEE Xplore Digital Library after the
conference. There are also plans to invite selected papers for publication
in a special

issue of a journal.

CALL FOR PAPERS
Areas of research interests and domains of applications include, but are
not limited to:

*Large-Scale Modeling and Simulation for Social Systems*
Social network based models
Models of social interactions (e.g. influence spread, group formation,
group stability, and social resilience)
Complex Adaptive System (CAS) models (e.g. modeling emergence in social
systems)
Models incorporating socio-cultural factors
Novel agent based social modeling and simulation
Modeling with uncertain, incomplete social data
Models using real-time social data
Representations of social and behavioral theories in computational models
Simulation methodologies for social processes including numerical and
statistical methods
Models for network dynamism
Modeling human and social elements in cyber systems (e.g. cyber-physical
systems, socio-technical systems, and network centric systems)
Social Computing Algorithms for Parallel and Distributed Platforms

*Analysis of massive social data*
Algorithms for dynamic social data
Algorithms for social network analysis
Analysis methods for incomplete, uncertain social data
Social analysis methods on parallel and distributed frameworks
Social computing for emerging architectures (e.g. cloud,
multi-core/many-core, GPU, and mobile computing architectures)

*Application*
Emergency management (e.g. infrastructure resilience, natural disaster
management)
National security (e.g. political stability, counter-terrorism, and
homeland security)
Health science (e.g. disease spread models, health informatics, and health
care analytics)
Social media analytics (e.g. business analytics, political analysis, and
economic analysis)

PAPER SUBMISSION
Submitted manuscripts may not exceed ten (10) single-spaced double-column
pages using 10-point size font on 8.5x11 inch pages (IEEE conference
style),

including figures, tables, and references.
Please visit the workshop website(http://www.lcid.cs.iit.edu/parsocial) for
details on submission.

For additional information and questions, please send email to
parsocial@cs.iit.edu and indicate "ParSocial 2016" in the subject to avoid
the spam filter.

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