[hpc-announce] CFP: IPDPS ParSocial 2020 Workshop - 4th IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems

[John Korah]

[Apologies if you receive multiple postings]
###############################################################################################
CALL FOR PAPERS
The 4th IEEE Workshop on Parallel and Distributed Processing for
Computational Social Systems
May 22 2020, New Orleans, Louisiana USA.
Conference Website    : https://www.cpp.edu/~jkorah/parsocial/
(In conjunction with IEEE International Parallel & Distributed Processing
Symposium (IPDPS))

IMPORTANT DATES
Paper submission deadline  : January 27, 2020
Notification of acceptance : February 21, 2020
Camera-ready papers        : March 15, 2017
Workshop                   : May 22, 2020
###############################################################################################

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 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 while
taking into account ramifications in relation to policy, ethics, privacy
and other areas. This workshop provides a platform to bring together
interdisciplinary researchers from areas, such as computer science, social
sciences, applied mathematics and 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. At least one of the authors of each accepted paper must
register as a participant of the workshop and present the paper at the
workshop.

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 and network dynamism (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 and real-time social data
Representations of social and behavioral theories in computational models
Simulation methodologies for social processes including numerical and
statistical methods
Modeling human and social elements in cyber systems (e.g. cyber-physical
systems, and socio-technical systems)

*Social Computing Algorithms for Parallel and Distributed Platforms*
Analysis of massive social data
Algorithms for dynamic social data
Algorithms for social network analysis
Machine learning/data mining-based analysis
Social Computing and Internet of Things (IoT)
Computing for social good and privacy
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 neuromorphic computing architectures)

*Application*
Domains of applications include but are not limited to:
Emergency management (e.g. infrastructure resilience, and natural disaster
management)
Financial Technology (e.g. algorithmic trading, blockchains, and P2P
lending)
Health science (e.g. disease spread models, health informatics, and health
policy models)
Social analytics (e.g. business analytics, political influence, and
economic analysis)

PAPER SUBMISSION
The workshop will accept submissions for both *regular* and *short* papers.
Manuscripts for regular papers should not exceed 10 single-spaced
double-column pages.  Manuscripts for short papers should not exceed 4
single-spaced, double-column pages. The manuscripts should use 10-point
font on 8.5 x 11 inch pages (IEEE conference style) and the page limit
includes references, figures and tables.

Please visit the workshop website(https://www.cpp.edu/~jkorah/parsocial/)
for details on submission.


*Workshop Organization*

**Workshop Co-Chairs**
    John Korah, Assistant Professor, California Polytechnic University
Pomona, USA.
    Eunice E. Santos, Professor and Dean of the School of Information
Sciences, University of Illinois at Urbana-Champaign, USA.

**Steering Committee**
    George Cybenko, Dorothy and Walter Gramm Professor of Engineering,
Dartmouth College, USA.
James A. Hendler, Tetherless World Professor of Computer Science,
Rensselaer Polytechnic Institute, USA.
Eugene Santos Jr., Professor of Engineering, Dartmouth College, USA
V. S. Subrahmanian, The Dartmouth College Distinguished Professor in
Cybersecurity, Technology, and Society, Dartmouth College, USA.
Albert Y. Zomaya, Chair Professor of High Performance Computing &
Networking, The University of Sydney, Australia.