This paper examines the relationship between the acceptance of advanced technology and the cul-tural and political attitudes of the respective societies, based on the results of an attitude survey conducted in Japan, the United States, and China at about the same time.

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In areas such as pharmaceuticals, where licensing or restriction of use is based on statistical scientific evaluation of efficacy and safety, value conflicts between efficacy and safety always occur. In addition, serious value conflicts between the producers who develop pharmaceutical products and consumers who may have suffered their side effects or other safety-related damages have often resulted in litigation. Using two lawsuits concerning pharmaceutical products in which the author testified as examples, I would like to examine how this type of value conflict is statistically expressed and what criteria of ethics are involved in value conflicts.

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The purpose of this study was to propose a task to improve the ability to acquire other's perspectives. The present game scores of the perspective acquisition group were higher than those of the control group, suggesting that the manner game improves perspective taking ability. The experimental system consisted of two stages. The first stage was to experience thinking from the perspective of others (experimental manipulation stage), and the second stage was to measure whether the first stage of the experimental manipulation improved the ability to acquire viewpoints (viewpoint acquisition ability measurement stage). After the second stage, a questionnaire with a subscale of viewpoint taking was administered. The results suggest that the manner game played by the perspective taking group improved their perspective taking ability.

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Empirical analysis will be conducted using statistical methodologies (multivariate analysis, Structural Equation Modeling: SEM), text mining, and NPS (Net Promoter Score) to determine the success factors of regional businesses that make use of local resources, using Hinohara Village case.

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We discuss research that uses gaming methods to visualize the values of diverse stakeholders, including a vaccination game to analyze changes in attitudes toward COVID-19 and an Ally discovery game to raise awareness of minority personnel within organizations.

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This study derives a machine learning model to predict household energy conservation awareness using electric power data obtained from over 200 smart houses in Kitakyushu City, along with survey results. We employ the Gradient Boosting Decision Tree (LightGBM) as a machine learning model and reveal important features contributing to the prediction by ranking significant feature variables. This research presents a challenging task of predicting psychological variables such as energy conservation awareness and behavior from physical data like electricity usage.

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There are many countries in the world where have not yet released Grid Square Statistics officially. Cambodia, Nepal, and Sri Lanka belong to these countries. Then, since I tried to produce the Grid Square Statistics of these three countries based on the Japanese standard, I would like to introduce its results.

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Survey on Time Use and Leisure Activities conducted and published by the Statistics Bureau provides information on time spent for activities in each prefecture by individual attribute. By considering the time spent in tertiary activities as available time for individuals, and by adding information on population by gender and age group obtained from regional grid square statistics to disposable time by gender and age group obtained from this survey, we can grasp the disposable time of each region and create new grid square statistics with the aim of capturing regional characteristics.

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This paper proposes how to produce grid square statistics about population density from log data collected from mobile phones with geographical locations and to evaluate reliability of their estimates. The log data collected from mobile phones are ones collected from Wi-Fi base stations when users access to Internet from their own mobile devices. Since Wi-Fi base stations have their own geographical location, the log data may contains physical environmental information related to locations. However, in this log data, there are several issues related to big data. This paper considers the way to produce grid square statistics from geographical information included in the log data.

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Privacy Enhancing Technologies, or PETs, have garnered increased attention as foundational technologies that enable disclosure control, secure data sharing and reuse, etc. In this presentation, we provide an overview of documents from international organizations, G7 meetings, and other sources that reference PETs. Additionally, we explore the potential of differential privacy as a method for the disclosure control of detailed statistical data, such as gridded statistics, by examining its application in the Redistricting Data of the 2020 Decennial Census of Population and Housing in the United States.

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Many companies are facing a business ‘sustainability crisis’ as a result of accelerating population decline, which has pushed ‘human resource availability’ to the top management priority, replacing the previous concern of ‘demand forecasting’. However, the slow and silent progression of recruitment risks has not been fully recognised, making it difficult to make the right management decisions. This study supports plans to increase corporate sustainability by visualising ‘human resource procurement risk’, which is essential for corporate management decisions, using human capital data. The paper also describes the development of a safety-conscious permission marketing type research model to enable the use of highly confidential ‘human resource data’ necessary for this research.

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Timeliness is highly needed in tourism statistics. Big Data are expected to improve the aspect. This report shows that the monthly number of domestic overnight stayers can be predicted easily and rapidly by using mobile positioning data. We identify the grids in which accommodations are located and then extract the number of people in those areas at 4 a.m. so that the number of stayers is estimated. Although the derived data are larger than the value of corresponding official statistics, both are strongly correlated. Acceptable approximation can be acquired with carefully calibration.

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To compare research trends in the AI-related fields, we extracted information on research papers and co-authors from the Web of Science. We analyzed 12804 authors from the top 20 countries based on the number of AI-related papers published during 2018. We focused on the number of papers in each author's WOS Essential Science Indicators across 23 research fields. Our research utilized non-negative matrix factorization, mainly for the ease of interpretation of the results, from which we were able to extract the strengths and trends of each region's research in this area.

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To help various departments of funding agency from a statistical viewpoint, this paper describes our Researcher2Vec that efficiently represents expertise of each researcher in a low-dimensional vector space. It is mathematically defined rigorously to allow an efficient search of researchers who is most associated with a given keywords or a research proposal, and yields an objective visualization.

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Efforts to measure and promote research excellence have traditionally been grounded in citation metrics and various indices. However, the plethora of stakeholders involved in science and the diversity of research excellence can often lead to the twin pitfalls of oversimplification and overcomplication when relying solely on quantitative metrics. In this context, we integrate recent insights from the science of science with our research findings about sleeping beauties to argue for the importance of research intelligence in identifying quality research within a transdisciplinary evaluation landscape.

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Service is the process of co-creating value by integrating the resources of products, services, the provider organization, its employees, and customers. The Society of Serviceology was established in 2012 to promote research to improve co-created value and improve productivity in services, and has been working on the fusion of social science and engineering, collaboration between academia and industry, and international cooperation. This will provide a comprehensive introduction to topics of growing interest in the Society of Serviceology.

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The purpose of this study was to examine the impact of and responses to uncertainty avoidance and manufacturing culture as corporate cultures that have been identified as obstacles to the servitization of manufacturing in Japan. For the purpose of cultural comparison, a quantitative survey of manufacturing executives in Sweden and Japan, which have symmetrical cultures, was conducted. The analysis revealed that uncertainty avoidance, which was assumed to be higher in Japan in previous studies, was higher in Japan, and conversely, investment in long-term relationships with customers was higher in Sweden. On the other hand, most of the factors were found to have no effect on servitization in Japan, but only the perfection of quality in manufacturing culture was found to have a positive effect. In Sweden, uncertainty avoidance and Monozukuri culture were found to have a negative impact on servitization, and these factors that have a negative impact on servitization had a positive impact on service infusion. It is clear that in Sweden, uncertainty can be an obstacle for transitioning to a business with uncertainty such as services, while in Japan, on the contrary, perfection is pursued even in services.

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ISO 23592 and ISO/TS 24082 about service excellence were published in June 2021, followed by the corresponding JIS publications. These are international standards for developing excellent organizations and services to increase customer loyalty through the creation of outstanding customer experiences. They include high-level requirements and recommendations on management and design. This paper introduces and discusses these standardization activities and the relationship with service research and synthesis-oriented engineering.

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Concerning the “Seven viewpoints of the seesaw model” which is existing research on meta-prevention, this paper studies how to balance the seesaw based on the relations with Eastern and Western moral philosophy. Specifically, it is shown that practical use of “Four-layer structure of recognition for the Universal”(Nishida philosophy) becomes the driving force to bring about action transformation and agreement formation. Utilizing this four-layer structure of recognition is useful in dealing with various risks as well as correspondence to COVID-19 where numerous contradictions and defects were revealed.

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We proposed an infection control level chart as a tool for self-diagnosis and improvement of air quality management in a nursery school as a representative example of a social welfare facility with a high degree of difficulty in preventing infectious diseases. The results suggest that the assessment of facility and ventilation capacity and infection management capacity, which were established based on statistical analysis of the results of a trial diagnosis as an online questionnaire, can provide a policy for activities to control outbreaks of large clusters of infectious diseases.

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The circular economy is an economic model that emphasizes efficient resource utilization and waste minimization. Since 2022, we have begun research regarding SDGs and CE. The focus of this research is on the educational program for platform development. It is capable of imparting knowledge on management strategies, marketing, and other related subjects. Finally, we show the case and effectiveness of studying the platform.

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From the view point of computer science, this paper mentions which kinds of information technologies and methodologies can contribute to realizing SDGs and CE society by showing some use cases. Concretely, the technologies and methodologies of metaverse, Docker container, and microservices that recently attract attention are introduced and discussed from the SDGs & CE view of points in some details. Furthermore, some suggestion of the directions for IT industry to go next.

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The transition from a linear economy to a circular economy requires the development of production personnel who can propose new business models. While linear businesses expanded touchpoints for segmented targets in order to create a market, circular economies require creating interconnectivity that connects with the all the resources that exist around them. Aoyama Gakuin University has been working on PBL to plan service businesses that are compatible with Goal 12.3 of SDGs and CSV since 2020 with the aim of developing human resources that can produce the next generation of businesses. Goal 12.3 is “By 2030, halve per capita global food waste at the retail and consumer levels and reduce food losses along production and supply chains, including post-harvest losses” under Goal 12 of SDGs: “Responsible Production and Consumption”. In this research provided an overview of current learning support plat-forms, and considered issues with the current platforms based on the awareness of students who use the platforms regarding food loss.

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From a CE perspective, there is a current need for reuse and mutual use of material contents in education. Traditionally, educational content has been difficult to integrate due to personal copyrights and copyright barriers, which has hindered systematic course design. This report introduces the basic specifications and implementation examples of “Digital BOOK,” which uses hyperlinks and generation AI to enable hybrid use of online and desktop books.

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In recent years, many movies have been released and diversified in the movie industry. It is important for the movie industry. Particularly, many sequels are made from the perspective of sustainability. Therefore, this study, compares basic data of the movie with audience’s impression and build analysis method model the relationship between them. In this paper, we show analysis method model of movies. We also evaluated the model using sample data.

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The perspective of STEAM education is now being recommended, and the need to add skill development such as creativity and appreciation in the arts to traditional STEM (Science, Technology, Engineering, Math) education is becoming shared. The goal of this research is to help learners develop their integrative and comprehensive abilities by designing and creating their own virtual spaces and exhibiting their learning results and works. As an example, the system constructed by the virtual museum is not limited to the art field but can be applied in a wide range of applications.

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On the basis of the transport policy in European Union, interoperability and railway safety directives as well as their related EN standards have been issued to harmonise the technical requirements and provisions on use of all components of the high-speed and conventional railway networks. This paper describes these strategic approaches in Europe and compares them with safety management in Japan.

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In this paper, a new anomaly prediction methodology using AI is described. The prediction rationale is shown using SpecTRM, a formal method.The AI model was built using Random Forest. AI models are usually built as blackbox ones. So, we cannot know the rationale of the inference. However, by using the proposed methodology, the reason of the prediction can be shown by characteristics of the combinations of input data.

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Automobiles are indispensable to our daily lives, and at the same time, they have responded in a timely manner to social demands for environmental protection and prevention of traffic accidents. In recent years, electronic control has been playing an increasingly important role in improving convenience, environmental friendliness, and safety. This paper first outlines the role of electronic control in automobiles and its changes, and then introduces the evolution of efforts to improve the reliability and safety of electronic control systems in automobiles. Finally, system development using systems thinking, which is currently the focus of much attention, is introduced.

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It is considered that a minimum level of safety is ensured for ships by complying with the regulations. International regulations for ships are developed by the International Maritime Organization (IMO). Formal Safety Assessment (FSA) is a rule-making tool in the IMO to develop reasonable international regulations considering the impact of the regulation from the viewpoint of safety and economy. In order to consider the aspects of safety and economy during the rule-making, risk assessment and cost-benefit assessment are conducted in the FSA. In this paper, the outline of FSA is introduced as an example of efforts to ensure the safety of ships from the viewpoint of international regulations.

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This study examined how to pass on to future generations the damaged materials of the Shimobara district of Soja City, which suffered flooding damage and explosion damage at an aluminum factory due to heavy rains in July Heisei30.

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In order to help effective evacuation from hazardous area to safe area at occurrence of natural disaster, various information have been provided via various media by various organization. In this study we propose one-stop provision of disaster prevention information and revise our smartphone application called “Hazard Checker” to increase IQ(Information Quality) and make non-structural measure for disaster prevention effective.

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Mutual help is important in occurrence of natural disasters, and Basic Disaster Countermeasure Act provides that voluntary disaster prevention organizations should be prepared. Voluntary disaster prevention organizations became widely known after the Hanshin-Awaji Earthquake in 1995 and its coverage ratio reaches 84.7% in 2022. .However, high coverage ratio does not necessarily mean well prepared for natural disasters. In this paper, we show some results of nation-wide web questionnaire survey on voluntary disaster prevention organizations conducted in 2023 and discuss some methods for activate and functionalize those voluntary disaster prevention organizations only in name.

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The authors present estimates for the population structure and changes within the landslide disaster precaution area in the Kinki region, using 500 meters resolution grid data for 2015 and 2020, and estimate the attribute-based population and households, such as populations of elder citizens and foreigners, and the numbers of households, which have single elder only and so on. We mention some quite interesting results and implications obtained from our empirical research. this format.

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The Comprehensive Strategy for the Vision for a Digital Garden City Nation (DIGIDEN) was developed as a new government initiative for regional development. The strategy presents a means of solving problems through the power of digital technology, but does not refer to the process of how each region will tackle problem-solving. A typical systems approach is needed to tackle this process, where the recent advances in AI are expected to effectively promote this. An experiment on AI-based systems approach has been conducted.

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Industry-government-academia collaboration in Hinohara Village, Tokyo will be introduced. For example, the world's first wooden sake project is planned. We are working to promote the region through branding and sales strategies of agricultural products and forest resources. This study will be conducted using the framework of regional value chains that draws on management organization theory.

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The depopulated municipalities considerably occupy 60% of the country in 51% of 1,718 whole country and play an important role in a people's life. Local forest rates of Hinohara-mura is 93%, Hinohara-mura has the tourist resources including famous waterfalls and the forest of Tokyo residents an old folk house, the toy museum etc., and pushed forward the sustainable community improvement that assumed a forest resources. In this study, we show the results that modeled factors affecting the well-being, the recommended intention, and regional potential of Hinohara-mura by analyzing questionnaire data getting answers from various stakeholders concerned with Hinohara-mura by Bayesian network.

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Isolation and loneliness in the community have become a significant challenge. The national and local governments have made efforts to identify and provide welfare services to high-risk residents. However, it is becoming increasingly important to detect potential at-risk residents early, before they fall into the high-risk category, and to restore community ties. In this report, we survey a residential complex in Hyogo Prefecture and discuss the results of visualizing isolation and loneliness through social network analysis.

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This article discusses a platform to measure regional characteristics for solving regional problems based on Big Data. Grid square statistics is one of the reasonable solutions that enable us to aggregate Big Data related to graphical locations in tiny areas and help us to understand current situations in a data-driven manner. This study focuses on a PDCA cycle consisting of logic modeling and policy analysis and addresses platform technology to acquire, collect, and analyze data for approaching regional problem-solving. It concludes that there are four aspects such as platform technology, data analytics techniques, interactions with human activities in the real world, and standardization.

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A multi-layered simulation-based design approach is proposed to implement autonomous vessels into the society that clarifies the relationship between SoS, system, and subsystem performance and integrates the target system and surrounding system(s). The industrial model is proposed to explore appropriate decision-making sets among policymakers, manufacturers, shipowners, etc., and to present a roadmap for the introduction of autonomous vessels and milestones for technological development. The operation model evaluates the performance of the autonomous navigation systems and the surrounding infrastructure.

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Since merchandise is a concept and does not physically exist in nature, the essential nature of merchandise cannot be clarified in a way that is generally considered scientific. To solve this problem, we have tried to abstract the “structure that makes people feel that way” that is common when people “feel that this is merchandise” in a way that does not specify the field or type of the merchandise, through phenomenology. When a person has “(a) knowledge of the ‘existence’ of ‘it’ as what ‘it’ is,” “(b) knowledge that ownership, namely sovereignty, of ‘it’ can be transferred among people by means of buying and selling, or ‘exchange,’” and “(c) knowledge that someone's future that the person assumes will be more comfortable by being related to ‘it,’” and these pieces of knowledge, or beliefs, are simultaneously present in the person's consciousness, “it” is constituted from these knowledges and appears to the person's consciousness as the structure called “merchandise.” This new perspective can trigger a paradigm shift in product-related disciplines and actual practices related to merchandise, such as new product creation/development or sales.

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This study illustrates how designer characteristics influence design innovation. We employ a multiple regression analysis on an individual basis for 25,385 designers, using design rights data from the transportation equipment industry between 1990 and 2018. The analysis reveals that designers with more solo creation experience are more likely to contribute to design innovations in team settings. This study contributes theoretically to design research and product development theory. Moreover, it offers practical insights by suggesting strategies for human resource development in firms to foster design innovation.

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First, in this study, we categorized the types of demand, which is the source of requests processed by business processes, into two types: cyclical demand, in which demands are generated periodically according to a planned schedule, and acyclic demand, in which the generation of demands is stochastic and random. Next, the business process for processing the demands from these two different types of demand was studied using a simulation-based business process design method proposed in a previous study.

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In this study, the aim was to analyze the process by which the “Social Principles of Human-Centric AI” were determined, as decided by the Integrated Innovation Strategy Promotion Council in 2019. Data from the minutes of the 8 sessions held in 2018 for the “Review Council for Social Principles of Human-Centric AI” were utilized, and a quantitative text analysis was conducted. The development of the “Social Principles of Human-Centric AI” was elucidated by examining the topics discussed during each session from the minutes.

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This presentation provides an overview of the historical evolution of the pro bono initiative known as “Crisis Mapping” globally, originating from the efforts of Geographic Information System engineers in disaster situations. The discussion delves into the subsequent advancements of Crisis Mapping in Japan. Additionally, this paper explores its connections with diverse academic domains including informatics and public policy, highlighting its potential for growth as a collaborative interdisciplinary field.

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Road traffic, public transportation such as railways and buses, and other sectors of transportation are not only highly specialized areas traditionally overseen by experts, but they also underpin our daily movements and directly impact our lives. Furthermore, there is a significant number of enthusiasts among the general public, and trends in this sector often garner considerable attention. In this presentation, while focusing on the crucial role of IT in transportation, we will discuss the potential of Civic Tech in the transportation sector, considering its historical context.

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Information technology in disaster response support is expected in floods and landslides, which are becoming larger, more widespread, and more frequent due to climate change, as well as in huge earthquakes, such as the Nankai Trough earthquake, which is feared to occur. Civic Tech in disaster risk management will be discussed with some practical example in recent disasters.

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The text discusses the evolving landscape of local issue resolution, highlighting the shift from traditional administrative and governmental approaches to more citizen-driven methods. Traditional means primarily involved administrative organizations and elected local councillors. However, the growing complexity and diversification of citizen needs have out-paced the capabilities of these traditional structures. Civic tech is defined as the use of technology by citizens to actively shape their society. It's a response to the limitations of conventional approaches in addressing local and social issues. Notable examples include the ‘Code for America’ initiative in the U.S., Japan's technological response to the Great East Japan Earthquake, and the Tokyo Metropolitan Government's development of a COVID-19 dashboard. These initiatives represent a significant shift towards a more networked, grassroots form of democracy, expanding the scope and impact of public administration studies. The report emphasizes the growing significance of civic tech in Japan, underscoring its potential to reshape academic perspectives and address societal challenges more effectively. This paradigm shift towards civic tech showcases a more engaged and technologically empowered form of community involvement and problem-solving.

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I discuss the possibility and the question sociologically on thedeployment of civic tech in Japanese civic society. I deal with the present situation and the problem on the cooperation between citizen and administration and the issues to consider after the covid-19 experiences. I also argue the problem about Wikipedia especially gender gap and the democracy , additionally the accessibility to society for handicapped.

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