• Innovation and technological development should advance sustainable natural resource management practices (J. J. Chen et al., 2022). These technologies are increasingly integrated into daily human activities and work processes. The application of modern technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Big Data, has improved human understanding of resource efficiency while reducing innovation development costs (Banerjee et al., 2021; Kaur and Sood, 2017; Mughees et al., 2021).
• Moreover, related studies have shown that these algorithms facilitate intelligent data management through statistical approaches. The continuous advancement of algorithms and nature-inspired intelligence supports the development of adaptive strategies for rapidly evolving global challenges, particularly climate change (Hajjaji et al., 2021a, Hajjaji et al., 2021b; Petrosanu et al., 2019; Salas et al., 2022; Sudharshan et al., 2022). The recent pandemic’s impact on global natural resource utilization (Sridhar et al., 2022) has heightened awareness of the critical need for future preparedness.
• The integration of Big Data analytics, Artificial Intelligence (AI), and multi-core High-Performance Computing (HPC) with parallel processing capabilities facilitates the appropriate development of Emerging Technologies. These technological innovations enhance humanity’s capacity for rapid and timely crisis response, enabling better preparedness for pandemics, environmental crises, and unprecedented challenges.
• The Center of Excellence in Digital Earth and Emerging Technologies (DEET) is established through an interdisciplinary collaboration among experts in Information Technology, Medicine, Engineering, and Social and Environmental Innovation from Thammasat University, in conjunction with the International Digital Earth Applied Science Research Center (IDEAS) at Chubu University, Japan.
