Leveraging Big Data to Advance Gender Equality
No hay miniatura disponible
Fecha
Autores
Título de la revista
ISSN de la revista
Título del volumen
Editor
International Finance Corporation, Washington, DC
Resumen
Descripción
Gender equality and the empowerment of
women and girls, one of the Sustainable Development Goals,
is a highly complex and challenging undertaking. We must
address multiple issues, discrimination, violence,
education, employment, economic resources, and technology,
and work across economic sectors, from agriculture to
financial services. Achieving gender equality will require
significant amounts of accurate data about the situations
and struggles of women and girls. Globally, however, there
is a major gap in data that is disaggregated by sex, and
this gap often renders women’s societal, cultural, and
economic contributions and obstacles practically invisible.
It can also exacerbate existing gender divides, feeding and
reinforcing biases in social programs, access to financial
and other services, economic opportunities, and even
development programs designed to address gender inequality.
Part of the solution may be in the form of big data, which,
if used effectively, can provide the volume of data needed
to portray women and their situations accurately, which in
turn can inform the creation of evidence-based solutions.
Palabras clave
BIG DATA, ARTIFICIAL INTELLIGENCE, GENDER EQUALITY, ACCESS TO FINANCE, EMERGING MARKET ECONOMIES, FINANCIAL TECHNOLOGY, DIGITAL DIVIDE