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FL-CSCW @ FUZZ-IEEE 2017 : Special Session on Fuzzy Logic and Computational Intelligence applications for Computer-Supported Collaborative Work

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Link: http://www.fuzzieee2017.org/specialSessions.php
 
When Jul 9, 2017 - Jul 12, 2017
Where Naples, Italy
Submission Deadline Jan 25, 2017
Notification Due Mar 10, 2017
Final Version Due Apr 8, 2017
Categories    fuzzy systems   CSCW   fuzzy logic   collaborative systems
 

Call For Papers

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017)
July 9-12, 2017
Naples, Italy

Special Session on Fuzzy Logic and Computational Intelligence applications for Computer-Supported Collaborative Work (CSCW)
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Call for Papers
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The recent increase on the use of mobile and wearable devices, and emerging technologies such as virtual reality, augmented reality, the internet-of-things, among others, have opened up possibilities for Computer-Supported Collaborative Work (CSCW); fostering participation, collaboration, creativity and engagement; and creating huge opportunities for integration and research. This has stimulated the need of Computational Intelligence applications in CSCW. Particularly, Fuzzy Logic (FL) when combined with other soft computing techniques and computational intelligence methods, it has been used as a base to model, simulate, and create hybrid dynamic systems for collaborative telework, learning and training environments for skills transfer, and knowledge management.
Therefore, the aim of this Special Session is to explore recent advances and applications of fuzzy logic, machine learning, and computational intelligence in the field of computer-supported collaborative work, with the aim to provide a forum to disseminate and discuss recent and significant research efforts in this field.

Main topics (but not limited to):
• Collaboration systems based on emerging technologies, including (but not limited to) mobile and ubiquitous computing, virtual, augmented and mixed reality, context-aware computing, internet-of-things, cyber-physical systems, and HCI.
• Computer-supported collaborative learning (CSCL), including (but not limited to) personalised learning, adaptive educational systems, intelligent tutors, game-based learning, lifelong learning and transfer learning.
• Mining and Modelling studies, analyses and infrastructures for making use of large and small-scale data, including structured and unstructured type of data.
• Social and crowd computing. Studies, theories, designs, mechanisms, systems, and/or infrastructures addressing social media, social networking, wikis, blogs, online gaming, crowdsourcing, collective intelligence, virtual worlds or collaborative information behaviours.
• Domain-specific collaborative applications, including applications to manufacturing, scheduling, tele healthcare, tele homecare, transportation, sustainability, education, accessibility, global collaboration, facilities services, high security operations, or other domains.
• Innovations, challenges and advancement of solutions for real-time support, collaboration and training, knowledge discovery.

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Important Dates
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Deadline for paper submission January 25, 2017
Notification of acceptance for papers March 10, 2017
Deadline for camera-ready paper submission April 8, 2017
Deadline for early registration April 10, 2017
Conference July 9-12, 2017

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Information for Authors
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Researchers are hereby invited to submit a paper (up to 6 pages, including figures, tables and references) detailing their research. Papers must follow IEEE guidelines (Word and Latex templates available here). More information available at: http://www.fuzzieee2017.org/paperSubmission.html
To submit use the FUZZ-IEEE online submission system; selecting the special session on Fuzzy Logic and Computational Intelligence applications for Computer-Supported Collaborative Work (CSCW) under the list of research topics in the submission system.

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Organisers
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Dr. Anasol Pena-Rios, University of Essex / British Telecom, UK - acpena@essex.ac.uk
Dr. Anne Liret, British Telecom, UK / BT France – anne.liret@bt.com
Dr. George Panoutsos, University of Sheffield, UK - g.panoutsos@sheffield.ac.uk

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