[hpc-announce] CFP: IPDPS ParSocial 2018 Workshop - 3rd IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems

[John Korah]

 [Apologies if you receive multiple postings]
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CALL FOR PAPERS
The 3rd IEEE Workshop on Parallel and Distributed Processing for
Computational Social Systems
May 25 2018, Vancouver, British Columbia, Canada.
Conference Website    : http://www.lcid.cs.iit.edu/parsocial
(In conjunction with IEEE International Parallel & Distributed Processing
Symposium (IPDPS))

IMPORTANT DATES
Paper submission deadline  : February 21, 2018
Notification of acceptance : March 5, 2018
Camera-ready papers        : March 15, 2018
Workshop                   : May 25, 2018
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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 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.

*Special Issue Journal*
For ParSocial 2017, selected papers were invited to submit extended
versions to a special issue of the IEEE Transactions on Computational
Social Systems (https://goo.gl/s8xQXm). For Par Social 2018, there are also
plans to invite extended versions of selected papers to a special journal
issue.

*Keynote Speaker*
This year the keynote address will be provided by:

V.S. Subrahmanian
The Dartmouth College Distinguished Professor in Cybersecurity, Technology,
and Society
Dept. of Computer Science, Dartmouth College

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.


*Workshop Organization*

**Workshop Co-Chairs**
    Eunice E. Santos, Ron Hochsprung Endowed Chair and Professor of
Computer Science, Illinois Institute of Technology, USA
    John Korah, Research Assistant Professor, Illinois Institute of
Technology, USA

**Steering Committee**
    George Cybenko, Dorothy and Walter Gramm Professor of Engineering,
Dartmouth College, USA
    Eugene Santos Jr., Professor of Engineering, Dartmouth College, USA
    V. S. Subrahmanian, Distinguished Professor in Cybersecurity, Dartmouth
College, USA
    James A. Hendler, Tetherless World Professor of Computer Science,
Rensselaer Polytechnic Institute, USA
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