This study employs high-resolution UAV thermal imagery and machine learning to analyze microscale urban heat patterns in a vulnerable residential neighborhood in Daejeon, South Korea, identifying key factors such as alley width and proximity to rivers that influence thermal vulnerability. By informing targeted heat mitigation strategies in urban regeneration areas, the research supports SDG 11 (Sustainable Cities and Communities) and SDG 13 (Climate Action), advancing the World Population Day goal to �Leave No One Behind� by addressing localized climate risks in densely populated, marginalized urban settings.

This study uses a participatory Design Thinking approach in Cork City, Ireland, to identify stakeholder priorities for effective air quality communication strategies that empower communities and support behavioral change. By integrating inclusive communication with systemic policy and infrastructure improvements, the research advances SDG 3 (Good Health and Well-being), SDG 11 (Sustainable Cities and Communities), and SDG 13 (Climate Action), aligning with World Population Day's call to "Leave No One Behind" by addressing environmental health inequities in urban populations.

The RELX SDG Inspiration Day 2025 focuses on the role of philanthropy in bridging the funding gap to achieve the UN Sustainable Development Goals, featuring insights from prominent thought leaders. To commemorate this event, Elsevier has curated a free Special Collection with the latest research on philanthropy and the SDGs.

Elsevier,

Digital Twins for Smart Metabolic Circular Cities, Innovations in Planning and Climate Resilience, Smart Cities, 2025, Pages 115-152

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.
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.

This perspective highlights the challenges and opportunities of implementing people-centered multi-hazard early warning systems in the Global South, emphasizing the need for localized, inclusive approaches that address vulnerability and the complex interrelationships of hazards, to bridge the gap between global ambitions and operational realities.

This backstory highlights the importance of interdisciplinary and participatory approaches in advancing the One Health concept, using lessons from an international workshop in Lao PDR to address existing knowledge gaps and improve global health security strategies.

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.

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