AI Transformation of Cities for Climate Solutions

Professor Dr. Kwi-Gon Kim has been a leading global scholar committed  to leveraging innovation to transition towards low-carbon and resource-efficient sustainable urban environments,  also including integration of AI and city climate planning focusing on how AI can be leveraged for climate change and sustainability impacts in cities.He has obtained his Ph.D. in Planning Studies at University College London (UCL) and taught for 32 years at Seoul National University. He is currently Professor Emeritus at the University.He has been very active in various fields and a frequent speaker at international organizations, including World Bank, UNDP, UNESCO, UNEP, UNFCCC and UN-HABITAT. Dr. Kim has consistently focused on applying his research in real-world settings. He, as a President of the International Urban Training Center (IUTC) in partnership with UN-HABITAT, developed a series of volume of Climate Smart Eco-Cities as training materials. He is currently leading the International Advisory Group for AI City Networking Initiative on Climate Solutions.He has been authors/co-editors  of four Springer Nature books, including Low-Carbon Smart Cities (2018), Planning Climate Smart and Wise Cities (2022), Cross-Cultural Perspectives on Climate Change Adaptation (2024), and LCA and Consumption/Needs-Based GHG Accounting for Climate Action (2025).

• Potential of AI for Promoting Smart and Sustainable Eco-city Solutions to Climate Change: Sustainability and AI nexus for AI city climate planning.- Emergence of an AI New Urbanism as a Synthesis Science where AI meets Cities: AI optimism for data-driven city climate planning.- Framework for Combining AI with the Life Cycle Process of Urban Planning and Development Processes as a Whole: A paradigm shift.- AI Agents.- AL Modeling Methods, Tools and Techniques: Theoretical combination of AI and city climate planning for soft computing techniques.- A Practical Illustration of AI in Prediction and Optimization Process (graph-based and mathematical modeling): Delivery of end- to -end solutions from concept and design to deployment, image and support.- AI Urban Innovation Ecosystem Strategies for City and Community-Based AI Transformation.- Action Plan for Implementation of AI Transformation in  Cities: Climate action in motion at AI cities.- Current AI Research on Cities for AI Innovation.- AI Creative Destruction Technologies: Evidence form the practices.- AI Converged Startups and Business Opportunities: Fostering AI marketing and and dynamic AI startup ecosystems for climate.- AI Virtual City Proposals for Sustainability: AI imaging technologies including virtual twin.- Applying AI in the Urban Context to Scale Green Finance and Carbon Markets for Sustainable Urban Development.- Proposal on the Case Study of AI Eco-Cultural Tourism in the Song Dam Lake and its Surrounding Area.- Why African Cities need to Adopt/Integrate AI into their Urban Planning Processes.- Scientific Insights for AI-Based Urbanism towards an Architect of City Climate Planning: A scientific assessment.- Examples of Scientific and Practical Questions and AI R & D Topics.