activity
20192023
most citedMapping the Landscape of Artificial Intelligence Applications against COVID-19

347 citations · 392 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CY2023

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…

cs.CY2022★ 4 cited

Predictive modeling of movements of refugees and internally displaced people: Towards a computational framework

Katherine Hoffmann Pham, Miguel Luengo-Oroz

Predicting forced displacement is an important undertaking of many humanitarian aid agencies, which must anticipate flows in advance in order to provide vulnerable refugees and Int…

cs.CY2020★ 2 cited

Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19

Alexandra Luccioni, Joseph Bullock, Katherine Hoffmann Pham +2

The COVID-19 pandemic has been a major challenge to humanity, with 12.7 million confirmed cases as of July 13th, 2020 [1]. In previous work, we described how Artificial Intelligenc…

cs.CY2020★ 10 cited

From plague to coronavirus: On the value of ship traffic data for epidemic modeling

Katherine Hoffmann Pham, Miguel Luengo-Oroz

In addition to moving people and goods, ships can spread disease. Ship traffic may complement air traffic as a source of import risk, and cruise ships - with large passenger volume…

cs.CY2020★ 347 cited

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2

COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August…

cs.CY2019★ 27 cited

Online Surveys and Digital Demography in the Developing World: Facebook Users in Kenya

Katherine Hoffmann Pham, Francesco Rampazzo, Leah R. Rosenzweig

Digital platforms such as Facebook, Twitter, Wikipedia, and Amazon Mechanical Turk have transformed the study of human behavior and provided access to new subject pools for academi…