By Bapu Vaitla, Claudio Bosco, Victor Alegana, Tom Bird, Carla Pezzulo, Graeme Hornby, Alessandro Sorichetta, Jessica Steele, Cori Ruktanonchai, Nick Ruktanonchai, Erik Wetter, Linus Bengtsson, Andrew J. Tatem, Ricardo Di Clemente, Miguel Luengo-Oroz, Marta C. Gonzalez, Rene Nielsen, Thomas Baar, Felicia Vacarelu, Munmun de Choudhury, Sanket Sharma, Tomas Logar, and Wouter Eekhout.
Abstract
Conventional forms of data—household surveys, national economic accounts, institutional records, and so on—struggle to capture detailed information on the lives of women and girls. The many forms of big data, from geospatial information to digital transaction logs to records of internet activity, can help close the global gender data gap. This report profiles several big data projects that quantify the economic, social, and health status of women and girls.