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Applying artificial intelligence on satellite imagery to compile granular poverty statistics

Hofer, Martin; Sako, Tomas; Martinez, Arturo; Addawe, … - 2020

The spatial granularity of poverty statistics can have a significant impact on the efficiency of targeting resources … granular poverty maps. This study outlines a computational framework to enhance the spatial granularity of government …-published poverty estimates using a deep layer computer vision technique applied on publicly available medium-resolution satellite …

Persistent link: https://www.econbiz.de/10012403950

Estimating city-level poverty rate based on e-commerce data with machine learning

Wijaya, Dedy Rahman; Paramita, Ni Luh Putu Satyaning Pradnya - In: Electronic commerce research 22 (2022) 1, pp. 195-221

Persistent link: https://www.econbiz.de/10013169448

Big Data y Algoritmos para la Medición de la Pobreza y el Desarrollo

Sosa Escudero, Walter - 2023

Eritrea es un pequeño país del noreste de África, al que casi todos los rankings ubican entre los tres más pobres del mundo. Eritrea hace 30 años que no tiene un censo (Jerven, 2013). Eritrea es como un hipertenso severo que no puede medirse la presión, que no puede consultar a un médico....

Persistent link: https://www.econbiz.de/10014468148

Big Data for poverty measurement insights from a scoping review

Stubbers, Michae͏̈la; Holvoet, Nathalie - 2020

Persistent link: https://www.econbiz.de/10012405612

Big data and machine learning in central banking

Dörr, Sebastian; Gambacorta, Leonardo; Serena, José María - 2021

Persistent link: https://www.econbiz.de/10012483906

Machine learning methods in finance : recent applications and prospects

Hoang, Daniel; Wiegratz, Kevin - In: European financial management : the journal of the … 29 (2023) 5, pp. 1657-1701

Persistent link: https://www.econbiz.de/10014430234

Big data, artificial intelligence and machine learning : a transformative symbiosis in favour of financial technology

Nguyen, Duc Khuong; Sermpinis, Georgios; Stasinakis, … - In: European financial management : the journal of the … 29 (2023) 2, pp. 517-548

Persistent link: https://www.econbiz.de/10014258837

Artificial intelligence applied to supply chain operations management : a systematic literature review

Mendonça, Guilherme Dayrell; Lima, Orlando Fontes <Jr> - In: International journal of logistics systems and … 45 (2023) 1, pp. 1-30

Persistent link: https://www.econbiz.de/10014316909

Big data in Asian central banks

Cornelli, Giulio; Dörr, Sebastian; Gambacorta, Leonardo; … - 2022

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...

Persistent link: https://www.econbiz.de/10013041196

Identifying market structure : a deep network representation learning of social engagement

Yang, Yi; Zhang, Kunpeng; Kannan, P. K. - In: Journal of marketing 86 (2022) 4, pp. 37-56

Persistent link: https://www.econbiz.de/10013258873