讲座预告：日本早稻田大学 金群教授 来校讲座

主题：Convergent Research in Practice: Understanding and Protecting Human Health through Big Data and AI

日期：2024年12月11日 （周三下午）

时间： 14：30-15：30

地点：木铎楼A403

讲座摘要：

The purpose of science and technology development around the world is shifting to human well-being. The grand challenges facing human society inthe 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 toaddress these challenges. Convergence is a process that stimulates innovation and discoveryandleads to the creation of new problem-driven solutions bymultidisciplinary andinterdisciplinary 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 workin understanding andprotecting human health through convergent research and with technology convergence of big data andartificial intelligence, such ascomprehensive health data analysis for healthcare, living support and well-being promotion for the elder people.

主讲人信息：

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). More information can be found at https://researchmap.jp/jinqun/?lang=en.