Empowering resilience in a sinking city: a Decision Support System (DSS) for participatory knowledge exchange, urban simulation, and modelling

Cities face the challenge of mitigating flood risk with imperfect data in the context of climate change. This project will use a participatory research design to facilitate collaboration between data and social scientists, communities and community organisations, and artists to produce a public art exhibition and a decision support system (DSS) for Penjaringan, a subdistrict of North Jakarta characterised by high flood risk. These deliverables will strengthen predictive disaster analysis, build community resilience to flood risk, and empower marginalised communities by elevating their voices. The originality of this project lies in its emphasis on facilitating feedback loops between community knowledge, data science/machine learning, social science, and artistic engagement to generate new insights into the social production, lived experience, and predicted future of risk. By merging community participation, art, and technological innovation, this project will make a significant contribution to providing proof of concept for interdisciplinary approaches to addressing environmental threats.

Principal Investigator: Dr Zahratu Shabrina, King’s College London