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.

This scoping review examines diet-related health inequalities in high-income countries through the lens of the PROGRESS-Plus framework. It highlights the need for standardized methodologies and intersectional approaches to monitor and address persistent diet-related health inequalities in high-income countries

This study leverages crowdsourced urban climate data to provide more inclusive and granular insights into urban heat dynamics, addressing gaps in traditional monitoring that often overlook marginalized communities. By harnessing freely available citizen science observations, the method supports the World Population Day theme of "To Leave No One Behind, Count Everyone," enabling more equitable and comprehensive data to inform sustainable urban development and climate resilience.