In this recent study, we develop an agent-based model using machine learning-derived information from remote sensing data to simulate and explore the post-disaster recovery processes in urban areas of Tacloban, the Philippines, devastated by Typhoon Haiyan in 2013.
The SC3 team was recently granted an award by The Royal Netherlands Academy of Arts and Sciences which enables early career researchers to organise a workshop with participants from different scientific disciplines. The primary goal of this workshop is to catalyze new ways of thinking about the interactions among different stakeholders to achieve sustainable climate...
Our results suggest that pure market-driven processes can cause shifts in demographics in climate-sensitive hotspots placing low-income households further at risk...
