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CIC-DM 2016 : International Workshop on Collaborative Internet Computing for Disaster Management


When Oct 31, 2016 - Oct 31, 2016
Where Pittsburgh, PA
Submission Deadline Aug 29, 2016
Notification Due Sep 16, 2016
Final Version Due Sep 27, 2016
Categories    disaster management   internet computing   big data   crisis information management

Call For Papers

International Workshop on Collaborative Internet Computing for Disaster Management

In conjunction with The IEEE International Conference on Collaboration and Internet Computing (CIC 2016)
October 31th, 2016, Pittsburgh, PA, USA

===== Introduction =====

The ability to collect, analyze, and integrate data from large number of diverse data sources has offered unprecedented opportunities to study human behaviors and their relationship to various types of systems and services. Mobile phone data and the content generated by hundreds of millions of users on social media such as Twitter, or Facebook, present continuous data streams of human social activities, and offer a unique chance to understand the structure and dynamics of social and information behavior in various situations. The goal of this workshop is to bring together researchers and practitioners working in the related areas of big data, internet computing and crisis information management to meet the growing challenges in efficient disaster management. We aim to foster a productive collaboration between computer/information scientists, public policy and urban planners, government officials, and other interested participants to discuss issues and challenges related to disaster management. This includes theoretical, methodological, ethical, and political questions in regard to the study of large-scale emergency related data and intelligent systems. A particular objective of the CIC-DM'16 is to bridge the gap between the methods of scalable data management, data mining, and the smart applications to improve emergency responses. We aim to provide a platform for the exchange of ideas, identification of important and challenging problems, and discovery of possible synergies. Our hope is that this workshop will spur vigorous discussions and encourage collaboration between the various disciplines resulting in joint projects and grant submissions.

===== Topics of Interest =====

This workshop welcomes submissions on various research topics within the contexts of emergency and crisis informatics and management, include but are not limited to the following:

* Extracting emergency events from big data
* Measurement of relevance and user activities through emergency information retrieval in social streams
* Identifying misinformation during emergencies and crisis events
* Evaluation framework for the emergency mining algorithms
* Scalable or real-time architecture for large-scale emergency information processing, mining and visualization
* Emergency social and information structure pattern discovery and predictive modeling
* Social network analysis and spatiotemporal analysis for crisis management
* Collective sense-making in crisis events
* Scalable collaborative graph data processing and streaming data processing for rare events
* Human computer interfaces for emergency data mining and crowdsourcing
* Visual analytics for crisis informatics
* Large-scale collective intelligence for emergency data integration and data fusion; fusion of social communication features, metadata, user generated content, and social context within the emergency situations
* Large-scale process monitoring for handling high data rates during emergencies
* Security and privacy management for emergency information processing
* Collaborative Big Data storage and management in the cloud for emergency management
* Collaborative Big Data reliability assessment for crisis informatics
* Challenges for collaboration in Big Data emergency management and data utilization
* New technologies (e.g., mobile applications) for mining and deploying emergency information
* Probabilistic computing in disasters
* Reinforcement learning for autonomous systems
* Any-time algorithms for large-scale in-situ reinforcement learning
* Deep learning for complex and fast evolving decision scenarios
* Resilient machine learning for planning & coordination in hostile environments

===== Talk & Paper Submission =====


We provide different submission formats: full papers, short papers, and poster/demo papers. We encourage submissions which present early stages of cutting-edge research and development in the form of short or poster papers. The format is the standard two-column IEEE proceeding format. Accepted papers will appear in the Proceedings. Additional information about formatting and style files are available online.


Full research paper (5 to 8 pages)
Short research paper (up to 5 pages)
Poster paper and software demo (up to 2 pages)

===== Important Dates =====

Paper Submission: August 29 , 2016
Author Notification: September 16, 2016
Submission of camera-ready version: September 27, 2016
Workshop: October 31, 2016

==== Organization & Committees =====


Yu-Ru Lin, University of Pittsburgh
Vladimir Zadorozhny, University of Pittsburgh
Ole-Christoffer Granmo, University of Agder

Program Committee:

Erol Gelenbe, Imperial College London
Anis Yazidi, Oslo and Akershus University College
Bjørn Erik Munkvold, University of Agder
Tina Comes, University of Agder
Kostas Pelechrinis, University of Pittsburgh
Brian Keegan, University of Colorado Boulder
James Bagrow, University of Vermont
Drew Margolin, Cornell University
Nan Cao, NYU ShangHai
Vladimir Oleshchuk, University of Agder

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