[hpc-announce] CFP: 1st IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocial 2016)

[John Korah]

[Apologies if you receive multiple copies]



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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/>
http://www.lcid.cs.iit.edu/parsocial

Contact Email         :  <parsocial at cs.iit.edu>parsocial at cs.iit.edu

(In conjunction with IEEE International Parallel & Distributed Processing
Symposium (IPDPS))



IMPORTANT DATES

Paper submission deadline: January 11, 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 at cs.iit.edu>parsocial at cs.iit.edu and indicate “ParSocial 2016” in
the subject to avoid the spam filter.



WORKSHOP ORGANIZERS

John Korah, Illinois Institute of Technology, USA

Eunice E. Santos, Illinois Institute of Technology, USA
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