[hpc-announce] CFP: IPDPS ParSocial 2021 Workshop - 5th 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 5th IEEE Workshop on Parallel and Distributed Processing for
Computational Social Systems
May 21 2021, Portland, Oregon USA.
Conference Website    : https://www.cpp.edu/~jkorah/parsocial/
(In conjunction with IEEE International Parallel & Distributed Processing
Symposium (IPDPS))

IMPORTANT DATES
Paper submission deadline  : Feb. 8, 2021
Notification of acceptance : Feb. 22, 2021
Camera-ready papers        : Mar. 15, 2021
Workshop                   : May 21, 2021
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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 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.

TOPICS
*Special Session: Modeling, Simulation and Analysis Techniques for
Pandemics*
This year we are inviting papers for a special session on topics in
computational social systems that tackle the issues related to pandemics,
with a focus on COVID 19. COVID 19 has revealed shortcomings in modeling
and simulation techniques for a fast moving, global pandemic which can
provide time bounded analysis and predictions. The need of the hour is a
new set of cutting edge l techniques that go beyond predicting the spread
of the contagion and also analyze and predict the concomitant effects on
societies including social, economic, heath, political and other effects.
COVID 19 has also revealed vulnerabilities in existing infrastructure and
the need to overcome these vulnerabilities in multiple areas including
health policies, transportation, community wellness, economic vitality,
race relations, and political leaning. This pandemic has also been unique
as the large amount of data and information available for researchers, has
required many to turn to parallel and distributed processing methodologies
and techniques. ParSocial, as such, can provide a platform for researchers
grappling with these research questions to present their work. Topics
include, but are not limited to:
**Dynamics of infection/reinfection
**Outbreak emergency management and resource allocation
**Resilience of various infrastructure including health infrastructure
**Economic behavior and decision making
**Health disparities and response to pandemics
**Evolution of Health policy during pandemics
**Economic epidemiology
**Nutrition security
**Risk communication
**Special case studies and analyses

*Other areas of research interests and domains of applications include, but
are not limited to:

**Social Computing Algorithms
***Algorithms for massive and dynamic social data
***Social sensing
***Big Cross-Modal Social Media Data Analytics
***Novel machine learning/data mining-based techniques
***Social Internet of Things (SIoT)
***Computing for social good and privacy
***Social network analysis with incomplete, uncertain social data
***Social computing for heterogeneous architectures (e.g. cloud,
multi-core/many-core, GPU, and neuromorphic computing architectures)

**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)

**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. health informatics and health policy models)
***Social analytics (e.g. business analytics and economic analysis)
***Political science (e.g. political influence, fake news and election
predictions)

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.