Page 31 - AI for Good-Innovate for Impact Final Report 2024
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AI for Good-Innovate for Impact
Use Case – 3: AI-supported Green Growth Simulation Tool for
Assessing SDG Co-benefits 3 - GGGI
Country: Hungary
Organization: Global Green Growth Institute
Contact person: Dr. Lilibeth Acosta, lilibeth.acosta@ gggi .org
3�1� Use case summary table
Domain Climate Action
The Problem to • Challenge in accurately quantifying the co-benefits arising from climate
be addressed mitigation and adaptation measures within national strategic plans.
• Limited understanding of how these measures contribute to achieving
specific Sustainable Development Goal (SDG) targets relevant to green
growth.
• Insufficient methodologies to assess SDG co-benefits in social inclusion
and gender.
• Decision-makers need a robust online platform for informed policy
development and to assess the country’s performance in achieving the
SDGs in 2030 and beyond.
Key aspects of • The Green Growth Simulation (GGSim) Tool offers scenario analysis for
the solution evaluating SDG co-benefits in national strategic plans like NAPs, NDCs,
and LEDs.
• It includes systems dynamics models for energy and transport, agricul-
ture, forestry, other land use (AFOLU), water, waste, and pollution.
• Its AI-based network analysis aims to implement structural equation
modeling (SEM) for social inclusion and gender-related SDGs that lack
models and data.
• GGSim uses machine-learning approaches to validate the robustness of
SDG co-benefits from integrated system dynamics and network models.
Technology Green Growth Index, Green Growth Simulation Tool, Systems Dynamics
keywords Models, AI-based Network Analysis, Structural Equation Modeling, Shapley
Values, Scenario Analysis
Data availability National and international public data (UNSTAT, FAO, World Bank)
https:// hungary -simtool .herokuapp .com/ SimulationDashBoard/ downloads
Metadata (type structured and unstructured data
of data)
Model Training • Basinhopping and L-BFGS-B for model parameter optimization
and fine-tuning • Grid Search (gridsearchCV) for hyperparameter tuning.
Case Studies Hungary, Burkina Faso, Ethiopia LT-LEDS, and Senegal and St. Lucia NAP-re-
lated policies (i.e. SDG 3, 6, 7, 12, 13, and 15).
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