Development of Data-driven Decision Support Platform Based on Sustainable Life Cycle Assessment of SDGs Nexus

Core FS Principal Investigator

Sanghyun LEE,

RIHN

Area : Japan and Global

Stressors, including climate change, socio‐political, economic, and population pressures, challenge sustainable resource management, which are in fact, non-stationary, highly interlinked, and increasingly unpredictable. Accordingly, we need to understand the interaction among resources, management, and multi-scale interaction, in addition to the holistic impacts of stakeholder’s actions. The aims of this study are to 1) study new methodologies to analyze the multiscale impact assessment in the context of complex trade-offs and synergy in SDGs-Nexus; 2) develop a data-driven decision support platform for assessing user scenarios; and 3) assess the applicability of the platform through transboundary and transdisciplinary case studies.

The data-driven decision support system comprising database, multi-scale analysis, and holistic impacts

The data-driven decision support system comprising database, multi-scale analysis, and holistic impacts

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