This chapter supports SDG 9, 11, and 7 by discussing the integration of digital twins to enable urban stakeholders to make informed decisions, ensuring that buildings are optimized for both energy efficiency and occupant well-being, thus advancing the goals of sustainable urban development.

Flood, a natural disaster closely related to global climate change, harms child health.

This article presents a participatory science framework that engages communities in soil monitoring and management through co-designed projects, educational outreach, and simplified data collection protocols.

Psychological stress has a significant impact on individuals' quality of life and health.

Big data shows significant potential for deep decarbonization in the transportation sector, while advances in artificial intelligence (AI) technologies help extracting valuable knowledge from such data. This study reviews the applications of big data and AI technologies in transportation, encompassing data accumulation, pattern understanding, and uncovering the intricate nexus between transportation activities and carbon emissions, ultimately providing insights for achieving carbon neutrality.

Supported by Dubai Cares and together with Unbounded Associates and Plan International, the Ban Ki-moon Centre presents the “

This review evaluates how AI-driven solutions, especially generative AI, can enhance urban energy resilience to help power systems adapt to and recover from extreme weather events and energy crises. By improving energy efficiency, reliability, and robustness, this approach directly supports the transition to carbon neutrality, which is essential for limiting global temperature increase and mitigating the impacts of climate change.