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DOUE 2020 : The Special Session on Data Origination from Unobserved Events

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Link: http://www.panda.sys.t.u-tokyo.ac.jp/SoCPaR/2020/
 
When Dec 15, 2020 - Dec 18, 2020
Where online
Submission Deadline Oct 15, 2020
Notification Due Nov 15, 2020
Final Version Due Nov 25, 2020
 

Call For Papers

International Conference on Soft Computing and Pattern Recognition
The Special Session on Data Origination from Unobserved Events
December 15th-18th, 2020 in conjunction with SoCPaR 2020, Online conference
http://www.mirlabs.org/socpar20/

In recent years, the increased access to knowledge and data has been changing the way we see the world and the systems that surround human life and society. The recent social movement of big data and artificial intelligence has resulted in a tremendous increase in the importance of data. Moreover, the global violence of the novel coronavirus has affected various industries, and the breakdown between systems has been apparent. To understand and overcome the phenomenon related to this unprecedented crisis, the importance of data exchange and sharing across fields has gained social attention. However, the new issue arising in the corona-related confusion is the discussion to determine what types of data are missing. The current situation is limited to unilateral information provision from data providers, and there has been almost no discussion about creating data of unobserved events and the methodologies for supporting it.
To address these gaps, we propose to hold the session to discuss the processes and interactions among data, humans, and society–the Special Session on Data Origination from Unobserved Events. The data origination is the human-centered approach to design, obtain, and make use of the data by emphasizing the diversity of subjective knowledge to externalize and solve the interdisciplinary issues. The topics taken up at this special session will involve practical issues such as the analytical tasks performed using data, soft computing and pattern recognition, and data origination and its process. Our special session will target not only cleanly formatted homogenous data, but also heterogeneous data that affect human behaviors, thoughts, and intentions across different domains. In addition to these research fields, we will attempt to take a cognitive approach toward observing the processes of data design and acquisition. We believe that this special session will have great significance, not only on academia but also on society as a whole.

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