Note sull'episodio
Natalie Coleman uses data science, machine learning, and disaster research to understand how communities recover after natural hazards such as Hurricane Harvey, Winter Storm Uri, and Hurricane Ida. This includes quantifying system losses, promoting data transparency, and emphasizing human values in the management and restoration of infrastructure.
Parole chiave
civil engineeringengineeringdata sciencePhd CandidateDiversity in STEMWomen in STEMmachine learning