Dynamic Risk Models for Evolving Cities
|Key to making informed policy decisions to promote resilient and sustainable future cities is the ability to model risk as it relates to dynamic changes in our urban environments, reflecting population increase, urban growth patterns and evolving vulnerability linked to time-dependent processes. We bring together experts in risk analysis, decision support systems, machine learning and policy to discuss how risk models can best account for the uncertain future built environment, thus enabling proactive actions that reduce future risk arising from a larger than present-day asset base. The session will cover public and private interest in this work and highlight some analytical modelling approaches.
Gizem Mestav Sarica
Hedwig van Delden