[dbjapan] [CFP Deadline 5/25] IEEE/ACM DSAA 2017 Special Session: Big Data and Disaster Management

[KITAMOTO Asanobu <kitamoto [at] nii.ac.jp>]

皆様

国立情報学研究所 北本と申します。

Big Data and Disaster Managementに関する論文を募集しております。
投稿締切は5/25、国際会議は10/19-21に東京です。
皆様の積極的な投稿をお待ちしております。

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Call for Papers
IEEE/ACM DSAA 2017 Special Session: Big Data and Disaster Management
http://klab.nii.ac.jp/dsaa17/cfp.html

1. Introduction
2017 IEEE International Conference on Data Science and Advanced  
Analytics (DSAA) will be held in Tokyo, Japan, during 19-21 Oct. 2017.  
DSAA is jointly supported by IEEE, ACM and American Statistical  
Association. It has strong inter-disciplinary and cross-domain culture,  
strong engagement of analytics, statistics and industry/government.  
Please refer to the conference web site at:  
http://www.dslab.it.aoyama.ac.jp/dsaa2017/. DSAA Special Session Big  
Data and Disaster Management (DSAA-BDDM) features on data science and  
analytics with special needs of disaster and emergency management.

2. Aims and scope
Disasters are events that require multiple-agency responses, and  
resources beyond the capability of a community. Natural disasters put  
tremendous threats to the lives of people, in addition to economic loss.  
Data and information collection, processing, analysis, and sharing are  
critical to disaster preparation, response, and recovery. Despite  
extensive prior research, there is still a great need for efficient and  
robust data/information analysis technology and system for emergency  
applications during disasters. This special session will provide a forum  
for researchers and practitioners to exchange their newest research  
results on efficient and reliable mechanisms and technologies for data  
collection, analysis, decision making and information dissemination  
before, during, or after disasters.

3. Topics of interest
Relevant topics are listed but not limited to the following researches  
for disaster/emergency/crisis management:

- Big data analytics
- Data/information management
- Data mining from huge sources
- Social media and networks
- Crowd sourcing
- Sensory data processing
- Resilient information networking
- Big data/machine learning for situation detection
- Prediction and early warning
- Context-aware computing
- Uncertainty and possibility adversity in data handling
- Geographic information technology and system
- Open source data and space based resources
- Security and privacy issues in information sharing

4. Submission
Please follow the special session paper submission guidelines at  
http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsspapers/. Select the track  
“Special Session on Big Data and Disaster Management” on the submission  
website. Followings are some highlights:
- Conference paper submissions should be limited to a maximum of 10  
pages, in the IEEE conference format.
- All paper submissions should be prepared for Double Blind reviewing.  
That is neither the reviewers are revealed nor the author information is  
disclosed.
- All accepted papers will be published by IEEE and included in the IEEE  
Xplore Digital Library. The conference proceedings will be submitted for  
EI indexing through INSPEC by IEEE.
- Top quality papers accepted and presented at the conference will be  
selected for extension and invited to the special issues of  
International Journal of Data Science and Analytics (JDSA, Springer).

5. Important dates
Submission deadline: May 25, 2017
Notification: July 25, 2017
Camera Ready: Aug. 15, 2017
Advanced Registration: Aug. 31, 2017
Conference: Oct. 19-21, 2017

6. Chairs
Yusheng Ji, Professor, National Institute of Informatics, Japan
Guoliang Xue, Professor, Arizona State University, USA
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--
北本 朝展 (KITAMOTO Asanobu)
国立情報学研究所 コンテンツ科学研究系
情報・システム研究機構 人文学オープンデータ共同利用センター
http://agora.ex.nii.ac.jp/~kitamoto/
TEL : 03-4212-2578 / FAX : 03-4212-2612