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Cities are experiencing multiple impacts from global environmental change, social inequalities, and the degree to which they will need to cope with and adapt to these challenges. This module focuses on the integration of grey, green, and blue infrastructure in urban areas while balancing health and equity needs between local communities and planetary health. The module integrates both qualitative and quantitative approaches. The emphasis of the qualitative approach is on understanding the needs of local communities and how the needs are affected by the urban environment. The emphasis of the quantitative approach is on using digital tools and methods (e.g., spatial analysis and GIS), real-time data and indicators to assess and demonstrate environmental impacts, urban health, and resilience under various scenarios of climate change, which affect local needs.Ìý

The effectiveness of tools such as environmental impact assessments, technical evaluation, institutional innovation and reconfiguration of knowledge-action systems for improving urban health and sustainability under various scenarios of climate change will be explored. Project-based learning supplements with workshops will be used to introduce new concepts and develop hands-on skills throughÌýstudents’ projects. This module uses quantitative tools to inform and validate qualitative understanding. It uses digital tools/software to simulate sustainable living conditions in a constantly changing environment. All 30-credit modules will be led by 2 module co-leaders with different educational backgrounds and expertise.Ìý

The aims of the module are to:

• Introduce students to the concepts related to grey, green and blue infrastructure in urban areas.
• Provide a deep understanding of concepts and principles related to urban resilience, climate change (mitigation and adaptation), urban health and well-being, and indoor and outdoor air quality.Ìý
• Apply digital tools (e.g. GIS and spatial analysis), data (e.g. real-time), and methods (e.g. predictive data analytics), for an understanding of the role of urban data in complex decision-making and for assessing the health impacts, air quality, and urban resilience under different climate change scenarios.Ìý

By the end of the module students should be able to:

• Understand the main concepts and principles related to complexity of urban health and well-being, the role of transport, mobility and physical activity on health and urban environmental quality, as well as urban microclimate and urban resilience. Ìý
• Identify the dynamics of using built and natural environment through primary and secondary data.Ìý
• Develop and apply models, tool and indicatorsÌýto assess health and well-being at the city and neighbourhood scale. Ìý
• Use and adapt participatory and engagement tools and approaches for the collection of relevant data.Ìý
• Use GIS and other related digital tools and metrics used to assess health and wellbeing in cities.Ìý
• Evaluate the strengths and weaknesses of both existing and changing conditions in the natural and built environment.Ìý