December 20-22, 2024 · Harbin, China
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Keynote III: Convergent Research in Practice: Understanding and Supporting Humans through Big Data and AI
Prof. Qun Jin
Waseda University
Abstract
The purpose of science and technology development around the world is shifting to human well-being. The grand challenges facing human society in the twenty-first century, such as protecting human health and promoting human well-being, cannot be solved by one discipline alone. Comprehensive use of convergence knowledge, the merging of insights obtained through convergent research from widely diverse fields, can be expected to address these challenges. Convergence is a process that stimulates innovation and discovery and leads to the creation of new problem-driven solutions by multidisciplinary and interdisciplinary collaborations. In this talk, after introducing the promising paradigm of convergent research and the concept of convergence knowledge, we will depict our vision on computing for human well-being and technology for the common good. We will further present our recent work in understanding and supporting humans through convergent research and with technology convergence of big data and artificial intelligence, such as comprehensive health data analysis for healthcare, living support and well-being promotion for the elder people.
Biography
Qun Jin is a professor in the Department of Human Informatics and Cognitive Sciences, Faculty of Human Sciences, Waseda University, Japan. He has been extensively engaged in research works in the fields of computer science, information systems, and human informatics, with a focus on understanding and supporting humans through convergent research. His recent research interests cover behavior and cognitive informatics, health informatics, artificial intelligence and machine learning, big data, personal analytics and individual modeling, trustworthy platforms for data federation, sharing, and utilization, cyber-physical-social systems, and applications in healthcare and learning support. He is a foreign fellow of the Engineering Academy of Japan (EAJ).
News
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Mar. 27, 2024
Web site is up.
Important Days
- Conference
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Jul. 20, 2024Submission Due -
Jul. 31, 2024
Submission Due(extended)
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Oct. 1, 2024Notification -
Oct. 8, 2024
Notification
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Nov. 8, 2024
Camera-Ready Due
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Dec. 20-22, 2024
Conference Date
- Workshops
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AI2OT
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Sep. 17, 2024
Paper Submission
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Oct. 15, 2024
Author Notification
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Nov. 8, 2024
Camera-ready
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Dec. 20-22, 2024
Conference Date
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CSIHTIS
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Sep. 20, 2024
Paper Submission Deadline
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Oct. 20, 2024
Paper Acceptance Notification
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Nov. 8, 2024
Camera-Ready Paper submission Deadline
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Dec. 20-22, 2024
Conference Date
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DICSC
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Sep. 20, 2024Paper Submission Deadline -
Oct. 8, 2024
Paper Submission Deadline
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Oct. 20, 2024
Paper Acceptance Notification
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Nov. 8, 2024
Camera-Ready Paper submission Deadline
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Dec. 20-22, 2024
Conference Date
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DLS2
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Sep. 20, 2024
Paper Submission Deadline
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Oct. 20, 2024
Paper Acceptance Notification
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Nov. 8, 2024
Camera-Ready Paper submission Deadline
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Dec. 20-22, 2024
Conference Date
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NMIC
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Sep. 20, 2024
Paper Submission Deadline
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Oct. 20, 2024
Paper Acceptance Notification
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Nov. 8, 2024
Camera-Ready Due
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Dec. 20-22, 2024
Conference Date
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SoftIoT
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Oct. 10, 2024
Paper Submission Deadline
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Oct. 24, 2024
Paper Acceptance Notification
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Nov. 8, 2024
Camera-Ready Paper submission Deadline
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Dec. 20-22, 2024
Conference Date
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