• IMPRESSION is an interactive instruction system for both face-to-face lesson and distance education.
• It was designed to facilitate teachers to plan and perform effective and attractive lessons with various multimedia materials, and help to evaluate performed lessons and improve them based on the double loop instructional design process, which is focusing on interaction between a teacher and students.

It could be used to perform advanced education with multimedia materials in schools, and also to design and implement training for employees at branch offices.

The importance of mental health has been widely recognized. Nevertheless, in Japan, the treatment gap remains unresolved. On the user side, there are barriers such as stigma and time/financial costs associated with help-seeking. On the provider side, challenges include the difficulty of matching clients with appropriate psychological support. Telepsychology has the potential to solve these issues. My research focuses on online psychological support and examines its effectiveness and potential applications.

Previous studies have focused on examining the effectiveness of various forms of online psychological support. However, whether telepsychology improves people’s help-seeking have been underexamined. My research investigates both the effectiveness of telepsychology and explores appropriate service provision to enhance people’s help-seeking.

• • My research goes beyond showing the “effectiveness” of online psychological support and focuses on improving accessibility, aiming for outcomes that are practical and useful in society.
• • It examines both user factors (such as stigma and costs) and provider factors (such as matching difficulties).
• • Based on empirical evidence, it explores better ways of delivering services so that psychological support becomes easier to access.

The goal of this research is to improve access to psychological support services, contributing to early intervention and the maintenance of mental health and well-being. There is potential for collaboration with companies providing mental health-related services, organizations promoting employee health management and corporate wellness, as well as ICT-based medical and welfare service developers.

Evaluating the effectiveness of social policies and business strategies through rigorous scientific methods—and improving them based on empirical evidence—is a pressing challenge across the public sector, private enterprises, and local communities. In Japan, the promotion of Evidence-Based Policy Making (EBPM) has recently gained attention; however, its practice remains largely confined to traditional administrative data, while the diverse and rich resources held by corporations and local communities remain underutilized. Building mechanisms that enable collaboration among public, private, and academic sectors is essential for sharing knowledge that contributes to solving societal challenges.

This research employs econometric methodologies to assess the causal impacts of policies and programs implemented by governments and corporations, linking the findings to real-world applications. By integrating administrative records with diverse private-sector data—including consumption, labor, education, and health—this study seeks to generate robust evidence and contribute to the advancement of evidence-based policy and strategy formulation.

Conventional policy evaluations and social surveys have often relied on descriptive statistics and case studies, which have limited capacity to identify generalizable causal relationships. Likewise, corporate initiatives have only rarely been subject to systematic and rigorous impact evaluation. This research employs econometric causal inference methods—such as regression discontinuity design, instrumental variables, and event studies—and applies them to both large-scale administrative data and non-traditional (“alternative”) data. Compared with conventional correlation-based analyses, this approach enables more robust and practically relevant evaluations of causal effects.

• Diverse Data Integration: Integrates administrative, corporate, and community data—regardless of type or continuity—to comprehensively evaluate policy and program impacts.
• Rigorous Causal Inference: Applies advanced econometric methods, such as regression discontinuity design and instrumental variables, to provide evidence that goes beyond simple correlations.
• Cross-Sectoral Applicability: Offers applicability across education, labor, welfare, urban policy, and consumer behavior.
• Social Implementation: Directly links research outcomes to policy improvement and corporate strategy design, fostering implementation through industry–government–academia collaboration.
• Capacity Building: Provides training in statistics and econometrics for municipal officials and corporate analysts, helping them build sustainable, data-driven decision-making cycles.

Public Sector: Provides scientific evidence for addressing educational inequality, designing welfare systems, labor market interventions, and urban environmental policies, thereby supporting the effective allocation of public resources.
Private Sector: Evaluates employee welfare programs, health management, workplace reforms, and reskilling initiatives, offering insights for sustainable and competitive strategic planning.
Society as a Whole: Builds sustainable and efficient social systems by integrating data and knowledge across governments, firms, and academic institutions.

Evaluating the effectiveness of social policies and business strategies through rigorous scientific methods—and improving them based on empirical evidence—is a pressing challenge across the public sector, private enterprises, and local communities. In Japan, the promotion of Evidence-Based Policy Making (EBPM) has recently gained attention; however, its practice remains largely confined to traditional administrative data, while the diverse and rich resources held by corporations and local communities remain underutilized. Building mechanisms that enable collaboration among public, private, and academic sectors is essential for sharing knowledge that contributes to solving societal challenges.

This research employs econometric methodologies to assess the causal impacts of policies and programs implemented by governments and corporations, linking the findings to real-world applications. By integrating administrative records with diverse private-sector data—including consumption, labor, education, and health—this study seeks to generate robust evidence and contribute to the advancement of evidence-based policy and strategy formulation.

Conventional policy evaluations and social surveys have often relied on descriptive statistics and case studies, which have limited capacity to identify generalizable causal relationships. Likewise, corporate initiatives have only rarely been subject to systematic and rigorous impact evaluation. This research employs econometric causal inference methods—such as regression discontinuity design, instrumental variables, and event studies—and applies them to both large-scale administrative data and non-traditional (“alternative”) data. Compared with conventional correlation-based analyses, this approach enables more robust and practically relevant evaluations of causal effects.

• Diverse Data Integration: Integrates administrative, corporate, and community data—regardless of type or continuity—to comprehensively evaluate policy and program impacts.
• Rigorous Causal Inference: Applies advanced econometric methods, such as regression discontinuity design and instrumental variables, to provide evidence that goes beyond simple correlations.
• Cross-Sectoral Applicability: Offers applicability across education, labor, welfare, urban policy, and consumer behavior.
• Social Implementation: Directly links research outcomes to policy improvement and corporate strategy design, fostering implementation through industry–government–academia collaboration.
• Capacity Building: Provides training in statistics and econometrics for municipal officials and corporate analysts, helping them build sustainable, data-driven decision-making cycles.

Public Sector: Provides scientific evidence for addressing educational inequality, designing welfare systems, labor market interventions, and urban environmental policies, thereby supporting the effective allocation of public resources.
Private Sector: Evaluates employee welfare programs, health management, workplace reforms, and reskilling initiatives, offering insights for sustainable and competitive strategic planning.
Society as a Whole: Builds sustainable and efficient social systems by integrating data and knowledge across governments, firms, and academic institutions.

Evaluating the effectiveness of social policies and business strategies through rigorous scientific methods—and improving them based on empirical evidence—is a pressing challenge across the public sector, private enterprises, and local communities. In Japan, the promotion of Evidence-Based Policy Making (EBPM) has recently gained attention; however, its practice remains largely confined to traditional administrative data, while the diverse and rich resources held by corporations and local communities remain underutilized. Building mechanisms that enable collaboration among public, private, and academic sectors is essential for sharing knowledge that contributes to solving societal challenges.

This research employs econometric methodologies to assess the causal impacts of policies and programs implemented by governments and corporations, linking the findings to real-world applications. By integrating administrative records with diverse private-sector data—including consumption, labor, education, and health—this study seeks to generate robust evidence and contribute to the advancement of evidence-based policy and strategy formulation.

Conventional policy evaluations and social surveys have often relied on descriptive statistics and case studies, which have limited capacity to identify generalizable causal relationships. Likewise, corporate initiatives have only rarely been subject to systematic and rigorous impact evaluation. This research employs econometric causal inference methods—such as regression discontinuity design, instrumental variables, and event studies—and applies them to both large-scale administrative data and non-traditional (“alternative”) data. Compared with conventional correlation-based analyses, this approach enables more robust and practically relevant evaluations of causal effects.

• Diverse Data Integration: Integrates administrative, corporate, and community data—regardless of type or continuity—to comprehensively evaluate policy and program impacts.
• Rigorous Causal Inference: Applies advanced econometric methods, such as regression discontinuity design and instrumental variables, to provide evidence that goes beyond simple correlations.
• Cross-Sectoral Applicability: Offers applicability across education, labor, welfare, urban policy, and consumer behavior.
• Social Implementation: Directly links research outcomes to policy improvement and corporate strategy design, fostering implementation through industry–government–academia collaboration.
• Capacity Building: Provides training in statistics and econometrics for municipal officials and corporate analysts, helping them build sustainable, data-driven decision-making cycles.

Public Sector: Provides scientific evidence for addressing educational inequality, designing welfare systems, labor market interventions, and urban environmental policies, thereby supporting the effective allocation of public resources.
Private Sector: Evaluates employee welfare programs, health management, workplace reforms, and reskilling initiatives, offering insights for sustainable and competitive strategic planning.
Society as a Whole: Builds sustainable and efficient social systems by integrating data and knowledge across governments, firms, and academic institutions.

Research on international comparisons of education systems has focused on the value of vocational skills and qualifications in the labour market. This study uses new approaches and data analysis to address three research questions:
(1) How well do education levels and fields of study match occupation in Japanese society?
(2) What is the link between vocational education and social stratification?
(3) How do people perceive the issue of bearing the costs of supporting the education system?

Previous research has noted that providing more occupation-specific knowledge and skills through schooling (i.e. high occupational specificity) facilitates young people's transition into the labour market. While such trends have often been examined through macro-level comparisons of national education systems, this study reveals underlying patterns of educational attainment and occupational outcomes at the individual level. In addition, a novel analysis was conducted using survey experiment methods to examine how individuals perceive the financing of the education system.

• When the relationship between educational attainment and occupation was decomposed into contributions between and within educational levels, it was found that the contribution attributable to academic discipline and major accounted for approximately 30%. One of the findings also challenges the conventional understanding that the link between fields of study in the humanities/social sciences and occupations is weak in the Japanese society.
• Graduating from fields with stronger occupational specificity tends to yield better labour market outcomes. Furthermore, this tendency arises from graduates being matched with occupations that have strong ties to their specific field of study.
• When analyzing public opinion on public spending on education, it was found that fiscal constraints reduce support, whereas public debt is more likely to be accepted.

As employment becomes increasingly unstable and the knowledge economy advances, the vocational function of the education system is coming under greater scrutiny. Against this backdrop, this research offers a fresh perspective on the issue of aligning the skills acquired at school with occupations in the labour market.
Furthermore, amid fiscal constraints stemming from a declining birth rate and ageing population, balancing the education system with other public expenditure is essential. This research can enhance our understanding of the processes through which public opinion is formed and polarized, while also providing insights to inform policy design.

Research on international comparisons of education systems has focused on the value of vocational skills and qualifications in the labour market. This study uses new approaches and data analysis to address three research questions:
(1) How well do education levels and fields of study match occupation in Japanese society?
(2) What is the link between vocational education and social stratification?
(3) How do people perceive the issue of bearing the costs of supporting the education system?

Previous research has noted that providing more occupation-specific knowledge and skills through schooling (i.e. high occupational specificity) facilitates young people's transition into the labour market. While such trends have often been examined through macro-level comparisons of national education systems, this study reveals underlying patterns of educational attainment and occupational outcomes at the individual level. In addition, a novel analysis was conducted using survey experiment methods to examine how individuals perceive the financing of the education system.

• When the relationship between educational attainment and occupation was decomposed into contributions between and within educational levels, it was found that the contribution attributable to academic discipline and major accounted for approximately 30%. One of the findings also challenges the conventional understanding that the link between fields of study in the humanities/social sciences and occupations is weak in the Japanese society.
• Graduating from fields with stronger occupational specificity tends to yield better labour market outcomes. Furthermore, this tendency arises from graduates being matched with occupations that have strong ties to their specific field of study.
• When analyzing public opinion on public spending on education, it was found that fiscal constraints reduce support, whereas public debt is more likely to be accepted.

As employment becomes increasingly unstable and the knowledge economy advances, the vocational function of the education system is coming under greater scrutiny. Against this backdrop, this research offers a fresh perspective on the issue of aligning the skills acquired at school with occupations in the labour market.
Furthermore, amid fiscal constraints stemming from a declining birth rate and ageing population, balancing the education system with other public expenditure is essential. This research can enhance our understanding of the processes through which public opinion is formed and polarized, while also providing insights to inform policy design.