Integrating cognitive and behavioural effects to better model urban decision making and dynamics and ultimately improve urban environments and enhance residents' quality of life (e.g. enable seniors to better age in place).
To re-evaluate the established urban mobility theories during different stages of the COVID-19 pandemic in the context of Singapore and refine/develop urban mobility theories and models. The models are to be further developed based on the land usage patterns, and a multidisciplinary approach using statistical modeling, complexity science and machine learning will be used to carry out model development. The developed models are useful for future urban planning after the pandemic has permanently reshaped urban mobility patterns.
Principal Investigator: Dr. Feng Ling (Systems Science; IHPC)
The project aims to investigate the relationship between physical and social forms of the urban system in the Singapore context and understand how spatial arrangements of physical elements may promote or harm health outcomes and social capital. The outcomes of the study may serve as evidence for designing effective community-based interventions to promote physical activity, aiding in the assessment of community policies in developing neighbourhood social capital as well as making informed decisions for urban planning.
Principal Investigator: Dr. Neil Huynh Hoai Nguyen (Systems Science; IHPC)
[Awarded Singapore Food Story grant]The project aims to understand perceptions of novel alternative proteins in families to develop an interactive educational platform to promote consumption.
Principal Investigator: Dr. Aimee Elizabeth Pink (SST HTCO/Social and Cognitive Computing; IHPC)
For opportunities for collaboration
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