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

collaborators

8 papers

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…

econ.GN2022★ 1 cited

Strategic Choices of Migrants and Smugglers in the Central Mediterranean Sea

Katherine Hoffmann Pham, Junpei Komiyama

The sea crossing from Libya to Italy is one of the world's most dangerous and politically contentious migration routes, and yet over half a million people have attempted the crossi…

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.CL2021★ 1 cited

Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19

Alexandra Sasha Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam +2

Natural language processing (NLP) plays a significant role in tools for the COVID-19 pandemic response, from detecting misinformation on social media to helping to provide accurate…

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…