Close
- Our three 2023-24 pilot projects supported nine cross-disciplinary collaborations across UCL
- This call was supported by generous funding from the UCL Faculties of Engineering Sciences; Mathematical & Physical Sciences; Social & Historical Sciences and the IOE
Embodying the Social: re-thinking inequalities in the era of the ‘exposome’
Medical Anthropology + Psychiatric and Social Epidemiology + Sociology
This proposal will examine how novel biosocial ways of understanding social inequalities and social determinants of health focused on exposures across the life course (the ‘exposome’) are being taken up and used in consideration of urban and mental health, focusing on violence and social exclusion in London. It will consider how social science can contribute to richer and more nuanced understandings of health data in exposome related research and in what ways transdisciplinary approaches might lead to more tractable targets in biosocially informed public health and policy interventions. Further details.
Walk and Connect: Exploring the built environment’s influence on physical activity and social engagement for lower-income older residents in London through citizen science
Architecture and Urban Planning + Transportation Studies + Geography
Active ageing and loneliness are two significant and related issues that particularly affect disadvantaged populations in deprived urban areas. Loneliness and inactivity are both associated with poorer quality of life, increased mortality, and frailty. The primary research question will explore the built environment factors that enable and promote active ageing and social connectedness in low-income neighbourhoods. Further details
Missing with dementia: Building the evidence base to better understand and reduce missing incidents involving people with dementia
Psychology + Dementia Epidemiology + Crime Science
More than 50 million people worldwide live with dementia. Going missing affects many people with dementia, and is a frightening and potentially harmful experience for people with dementia and their families. Presently, little is known about the prevalence, patterns and predictors of this problem, which is a barrier to prevention4. In this project, we will use (1) quantitative data to better understand missing incidents involving people with dementia and qualitative data to better understand lived experiences. Data collected will inform the development of future interventions to reduce missing incidents and associated harms. Further details