Transforming disaster risk reduction with AI and big data: Legal and interdisciplinary perspectives

Managing complex disaster risks requires interdisciplinary efforts. Breaking down silos between law, social sciences, and natural sciences is critical for all processes of disaster risk reduction. This enables adaptive systems for the rapid evolution of AI technology, which has significantly impacte...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Chun, Kwok P, Octavianti, Thanti, Dogulu, Nilay, Tyralis, Hristos, Papacharalampous, Georgia, Rowberry, Ryan, Fan, Pingyu, Everard, Mark, Francesch-Huidobro, Maria, Migliari, Wellington, Hannah, David M, Marshall, John Travis, Calasanz, Rafael Tolosana, Staddon, Chad, Ansharyani, Ida, Dieppois, Bastien, Lewis, Todd R, Ponce, Juli, Ibrean, Silvia, Ferreira, Tiago Miguel, Peliño-Golle, Chinkie, Mu, Ye, Delgado, Manuel, Espinoza, Elizabeth Silvestre, Keulertz, Martin, Gopinath, Deepak, Li, Cheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computers and Society Computer Science - Learning
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!