The COVID-19 crisis has highlighted how vulnerable societies and governments are to shocks. This vulnerability is exacerbated by the propensity to design policy for narrow silos relating to singular policy areas and government departments, without adequate consideration of the interdependencies between them and the interconnected nature of local and global societies. The pandemic has brought into focus the fact that resilience in one policy area (e.g. health) can come at the cost of resilience in another (e.g. the economy). The overall aim of this large-scale, 2-year research project is to develop a better understanding of resilience in interconnected health, social, and economic systems and to use this understanding to identify robust policy measures. To get more information about this project visit this link: https://www.turing.ac.uk/research/research-projects/shocks-and-resilience
I work within a multidisciplinary team that include experts in several areas such as health, public policy, economics, and urban analytics. I support the work package 3, related to spatial modelling wich aim to develop spatial modelling methods or tools that can be integrated within the epidemiologic-socio-economic models to tackle policy questions that are relevant at the sub-national level (e.g., regional and local authorities). We are producing methodologies that offer ‘what if’ scenario modelling in relation to spatial variations in policy regulations, such as the local relaxation or reintroduction of social distancing rules, or local controls over business, leisure, and education.