The fading gloss of data science: towards an agenda that faces the challenges of Big Data for development and humanitarian action
No hay miniatura disponible
Fecha
2022-02-04
TĆtulo de la revista
ISSN de la revista
TĆtulo del volumen
Editor
Springer Nature
Resumen
Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decision-making in development and humanitarian action. But many vulnerable people are invisible to the data infrastructure, while just integrating their data without understanding the consequences can make them even more vulnerable. This article unpacks the challenges presented by data science for development and humanitarianism.
Palabras clave
Humanitarianism
Development
Sustainable development goals
Algorithmic bias
Data infrastructure
Development
Sustainable development goals
Algorithmic bias
Data infrastructure
Descripción
Materias
Cita
GutiƩrrez, M., Bryant, J. (2022). The fading gloss of data science: towards an agenda that faces the challenges of Big Data for development and humanitarian action. Development, 65, 80-93. https://doi.org/10.1057/S41301-022-00327-2
