This article explores different manners of distinguishing diverse academic fields, which comprise natural sciences, technology, humanities and social sciences. It is true that the division of literary fields and scientific fields is most mentioned in this area of discussion: the article refers, however, to the possibility of other divisions of vast academic fields, that tantamount to relativize the division of literary and scientific fields and to traverse those two. The article tries to find out ways to bridge various divisions of academic fields from this perspective.

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Tohoku University is working on a co-creation strategy in which industry-academia collaboration activities are not limited to the area of research and development, but extend the functionality of industry-academia collaboration to the area directly linked to business creation and growth. In order to form a cycle of business creation in which human capital, technology and funds are effectively invested from both academia and business and a return is achieved, a university subsidiary has been set up to promote the operation of a platform business for the co-creation of business in industry-university-finance-government collaboration.

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With the third AI boom, AI can now replace many tasks involving “human” intellectual activities. In recent years, when AI has been used in various fields, various ELSI concerns have been rAIsed in connection with its application. On the other hand, with the development and provision of various research-supportive tools, it is necessary to sort out what points should be kept in mind in order to mAIntAIn the ideal form of “research”, while at the same time enjoying the benefits of AI and en-suring coexistence between humans and AI. Therefore, in this paper, after outlining the ELSI caused by the characteristics of AI, I will present some points to be kept in mind when utilizing AI in research.

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The decommissioning of nuclear power plants and staff turnover may lead to a depletion of accumulated knowledge. Despite the implementation of nuclear knowledge management, current efforts primarily focus on preserving knowledge without adequate consideration of knowledge creation and inheritance. This study examines the correlation between generativity, job competence, and social support among nuclear power plant staff in the decommissioning process. Generativity refers to the capacity to create something new, promote it, and pass it on to future generations. The research hypothesis posits that staff with plant operating experience will exhibit lower generativity scores than those without such experience. However, the results indicate no substantial variation in generativity scores, but there is a significantly higher social support score among staff with operating experience. The study highlights the significance of knowledge management, incorporating the concept of generativity, in facilitating knowledge acquisition activities across the organization.

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Transdisciplinary research is a new approach to integrate academic knowledge and social knowledge together, and to solve social issues by engaging stakeholders in society in research processes. It is expected to solve social wicked problems such as climate change and biodiversity loss, however scientific methodologies are not yet systematized. In particular evaluation method of transdisciplinary research is not well investigated．TRAFST has organized a new research group on “Systematization and Evaluation of Transdisciplinary Research”. This paper introduces the objectives, background and activity plan of the new research group.

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Japan Society of System Dynamics was established in 1990 as the Japan chapter of the System Dynamics Society (SDS), an international academic organization. In order to promote the utilization of system dynamics in various fields in Japan, the society conducts various activities such as publishing journals and organizing research meetings and conferences.

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