posted by organizer: jkorah78 || 3846 views || tracked by 11 users: [display]

ParSocial 2016 : [Extended Deadline] The IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems in conjunction with IPDPS 2016

FacebookTwitterLinkedInGoogle

Link: http://www.lcid.cs.iit.edu/parsocial
 
When May 27, 2016 - May 27, 2016
Where Chicago, USA
Submission Deadline Jan 25, 2016
Notification Due Feb 14, 2016
Final Version Due Feb 21, 2016
Categories    distributed computing   parallel processing   social computing   social science
 

Call For Papers

The 1st IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems
In conjunction with IEEE International Parallel & Distributed Processing Symposium (IPDPS)
May 23-27 2016, Chicago Hyatt Regency, Chicago, Illinois USA.

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. This workshop 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.
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)

**Applications**
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)


The papers selected for ParSocial will be published in the proceedings. Proceedings of the workshops are distributed at the conference and are submitted for inclusion in the IEEE Xplore Digital Library after the conference.

Workshop Co-Chairs:

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

Related Resources

ICASSP 2021   2021 IEEE International Conference on Acoustics, Speech and Signal Processing
ICSD 2020   8th International Conference on Sustainable Development,9 - 10 September ICSD 2020
TPDS-SS-AI 2020   IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL
EJSD Journal 2020   European Journal of Sustainable Development
PDAA 2020   The 12th International Workshop on Parallel and Distributed Algorithms and Applications
NATL 2020   6th International Conference on Natural Language Computing
SBAC-PAD 2020   International Symposium on Computer Architecture and High Performance Computing
SPAWC 2021   22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications
IECBES 2020   6th IEEE-EMBS Conference on Biomedical Engineering and Sciences
SCOPUS-AIACT 2021   5th International Conference on Artificial Intelligence, Automation and Control Technologies