Notas del 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.
Palabras clave
civil engineering
engineering
data science
Phd Candidate
Diversity in STEM
Women in STEM
machine learning