Combining environmental domain knowledge with AI technologies to precisely predict climate and environmental change and support evidence-based policymaking.
By applying deep learning and explainable AI (XAI) to KEI's experience in environmental assessment and policy, the group builds a research foundation that connects directly to spatio-temporal analysis and policy decision-making.
Reading a warming planet, turning climate change into actionable evidence.
SURFACE
Operating Framework
From problem framing to policy, one connected research flow.
The group operates through one connected flow from environmental problem framing to data preparation, model development, and policy application, supported by cross-disciplinary collaboration and phased execution.
01
Technology Integration
Coupling KEI's environmental assessment expertise with deep learning and explainable AI (XAI) to build models optimized for spatio-temporal analysis.
02
Collaborative Framework
Environmental researchers and AI scientists work together from problem definition through data validation to model design and deployment.
03
Data Foundation
National monitoring networks and public environmental data become learning resources for integrated analysis at nationwide scale.
Forest ecology, protected through the living logic of watersheds.
Near term
AI Research Foundation
Build environmental AI data infrastructure, identify priority themes driven by policy demand, and run pilot studies through partner networks.
Mid–long term
Advanced Prediction & Policy Support
Develop domain-specific prediction models, ensure reliability through XAI, and establish policy-support systems for decision-making.
CRUST
2026 Research
Ontology-Based Intelligent Support Framework for Environmental Policy
A unified framework that semantically integrates policy knowledge — laws, plans, standards — with national monitoring data and public discourse, delivering AI-powered knowledge services for policymakers.
01
Policy Knowledge Graph
Extract core concepts from environmental laws, plans, standards, and guidelines into a connected environmental-policy ontology schema.
02
Environmental Data & Indicators
Grid national monitoring and statistical data, forecast spatio-temporal patterns, and apply machine-learning and deep-learning models.
03
AI Information Service
Analyze news and public discourse automatically, then provide a generative-AI dashboard for policy decision support.
