Generative AI-assisted Participatory Modeling in Socio-Environmental Planning under Deep Uncertainty

1. 1Identify and conceptualize problems in socio-environmental planning
2. 2Translate stakeholders' natural-language descriptions into quantitative models using generative AI
3. 3Explore policies and deploy plans based on the models
4. 4Evaluate and refine the models under deep uncertainty

Researchers and planners working on socio-environmental projects can benefit from this approach as it streamlines the problem conceptualization process, while stakeholders can provide input through natural-language descriptions

💡 Generative AI can facilitate participatory modeling in socio-environmental planning by translating natural-language descriptions into quantitative models

🌟 Generative AI streamlines socio-environmental planning under uncertainty