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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