Current research

"Model-adaptation technology for new sustainability indicators" refers to a technology that builds digital twins modeling the regional natural environment and socioeconomics and, by performing virtual prediction and analysis, provides an assessment that takes a holistic view of the entire region, including not only economic aspects but also changes in people's lives and the natural environment. In this VUCA era, where the environment and society are constantly changing, maintaining the richness of the region, such as its natural environment, people's lives, and vitality, requires difficult navigation, dealing with changes like population dynamics and climate while considering various regional factors. For example, even in agriculture, an industry that supports people's food, countermeasures, such as crop rotation to change crops cultivated and changes in farming methods through the use of ICT technology, are being discussed. Their aim is to enrich the region from various perspectives, including not only stable profits but also improved working conditions for farmers and regional brand value. To implement such sustainable countermeasures, it is necessary to develop technology for assessing the entire region from various perspectives, not just economic ones but also those concerning the natural environment and local society.

In this study, to assess various regional factors, we will undertake a comprehensive situational analysis combining collected data and satellite-imagery data within the target area, the creation of a regional digital twin, and future prediction utilizing it. This undertaking aims to enable the assessment of policy effects, such as regional economic promotion and environmental countermeasures through simulations considering natural environmental elements like farmlands and rivers as well as socioeconomic elements like capital investment, agricultural management plans, and urban vitality in the target area.