Session 4: Data Science for Human Wellbeing
Miguel D. Mahecha, Max-Planck-Institute for Biogeochemistry, Jena, Germany
Debarati Guha-Sapir, Centre for Research on the Epidemiology of Disasters (CRED), Brussels, Belgium
Download (pdf): Session Report "Data Science for Human Wellbeing"
In the article "Deciphering Extreme Weather Events", Benjamin von Brackel focuses on session 4 and shows, how data scientists use huge data sets to decipher extreme weather events and make predictions about the future.
In the interview "A natural disaster is like a virus", epidemiologist Debarati Guha-Sapir gives insights, how data analysis can help to understand and even prevent deaths related to extreme weather events.