89 citations · 90 across the 3 of their papers we have counts for
3 papers
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
Modeling Population Movements under Uncertainty at the Border in Humanitarian Crises: A Situational Analysis Tool
Arturo de Nieves Gutierrez de Rubalcava, Oscar Sanchez Piñeiro, Rebeca Moreno Jiménez +10
Humanitarian agencies must be prepared to mobilize quickly in response to complex emergencies, and their effectiveness depends on their ability to identify, anticipate, and prepare…
Sequences of purchases in credit card data reveal life styles in urban populations
Riccardo Di Clemente, Miguel Luengo-Oroz, Matias Travizano +3
Zipf-like distributions characterize a wide set of phenomena in physics, biology, economics and social sciences. In human activities, Zipf-laws describe for example the frequency o…